Arithmetic Modelling and Routing Algorithms for an Edge–Fog–Cloud Continuum Structured as a Full k-ary Tree | Chapter 7 | Mathematics and Computer Science: Research Updates Vol. 9

 

Remote computing is currently widely deployed in production networks, although its performance could be optimised through an appropriate architectural design. Accordingly, a mathematical model of an edge-fog-cloud hierarchy is presented, where all devices are organised as a full complete k-ary tree. When devices across layers are sequentially indexed, integer division and modular arithmetic can be used to determine the devices and ports involved along the path between a source and a destination end device. Two pseudocode algorithms are proposed, where one considers only a single cloud server, while the other extends the approach to multiple cloud servers. The key properties of both algorithms are simplicity and scalability, highlighting their technical relevance in remote computing architectures. The proposed model may have a practical impact on IoT, edge AI, and network design as it simplifies how packets are forwarded between end devices in remote computing environments.

 

Author(s) Details

Pedro J. Roig
Miguel Hernández University, Elche, Spain and University of the Balearic Islands, Spain.

 

Salvador Alcaraz
Miguel Hernández University, Elche, Spain.

 

Katja Gilly
Miguel Hernández University, Elche, Spain.

 

Cristina Bernad
Miguel Hernández University, Elche, Spain.

 

Carlos Juiz
University of the Balearic Islands, Spain.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v9/7259

 

Real-Time Object Detection via Cloud-Enabled Deep Learning: A Systematic Review | Chapter 6 | Mathematics and Computer Science: Research Updates Vol. 6

 

Automated vehicles, advanced surveillance systems, AR, and robots are just a few of the many new uses for real-time object recognition.  While deep learning models are becoming increasingly complex and accurate, they might be challenging to execute on edge devices with limited resources due to the computational demands. By offloading computationally intensive processes to scalable cloud infrastructure, cloud-enabled deep learning enables real-time processing without sacrificing detection accuracy, offering an effective alternative.  This study takes a close look at the current setup of cloud-based object recognition methods that work in real time. When considering latency, bandwidth, privacy, and processing costs, the pros and cons of several architectural paradigms are evaluated, including hybrid methodology, distributed inference, and edge-cloud cooperation. Additionally, the developments of lightweight convolutional neural networks (CNNs), single-shot detectors, and model compression techniques are examined, all of which are aimed at real-time performance in cloud environments.  Improving fault tolerance, optimizing data transmission, safeguarding data security and privacy, and developing more adaptive and efficient cloud resource management strategies for dynamic real-time object detection contexts are all areas that could be further explored in this review.

 

 

Author(s) Details

Abdul Razzak Khan Qureshi
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Ruby Bhatt
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Govinda Patil
Department of Computer Science, Medicaps University, Indore, Madhya Pradesh, India.

 

Please see the book here :- https://doi.org/10.9734/bpi/mcsru/v6/5867

 

A Systematic Investigation of Workflow Scheduling Techniques in the Cloud | Chapter 1 | Science and Technology: Recent Updates and Future Prospects Vol. 11

 

The primary participants in the cloud technology context are cloud users and service providers. This setting comprises data centers, servers, agents, and virtual machines. The supplier's resources are rented to the cloud customer for varying loads. Since cloud services are so ubiquitous, most scientists use them to run their workflow applications. Scientific applications are workflow challenges that are huge and complex and require higher processing power. The cloud satisfies the workflow requirements of massive availability and enhanced computational power. For the cloud computing system to operate well, scheduling is one of the most recent research topics. This study examines several task-scheduling methods currently in use that are based on various criteria. This work will help the investigators to gain a better understanding of task scheduling techniques. The result of the investigation is tabulated with their performance parameter metrics like response time, energy efficiency, fault tolerance, and efficient resource usage.

 

 

Author(s) Details

C. K. Sripavithra

Department of Computer Science, Christ (Deemed to be University), Central Campus, Bangalore, India and Department of Computer Science, Maharani’s Science College for Women (Autonomous), Mysore, India.

V. B. Kirubanand

Department of Computer Science, Christ (Deemed to be University), Central Campus, Bangalore, India.

 

Please see the link:- https://doi.org/10.9734/bpi/strufp/v11/1629

Building Information Modelling (BIM) and Cloud Computing for a Hybrid Work Model in the Post COVID Era | Chapter 9 | Current Approaches in Engineering Research and Technology Vol. 7

 

The narrative of work has changed globally since the emergence of the COVID-19 pandemic in the year 2020 till date. The Work from Home (WFH) model which took various businesses time to effectively adapt became popular following the lockdown of over 9 months globally. The Architecture, Engineering, and Construction (AEC) Sector was not left out. Organizations that could adapt however recorded significant operational cost savings with the WFH model and continued with a hybrid work model after the relaxation of the lockdown. With either the WFH or the hybrid work model, the combination of Building Information Modelling (BIM) and Cloud Computing technologies became unavoidable by AEC firms for effective collaboration and seamless productivity. This study examines the role of BIM and Cloud Computing in successfully implementing a hybrid work model for AEC firms. It also examines the readiness of firms to operate the hybrid work model and the possible barriers to its successful implementation. Quantitative data was gathered from registered architectural firms using a close-ended structured questionnaire. Using a simple random sampling method, a total of 140 survey responses were analyzed using descriptive statistics and the Relative Importance Index (RII). Findings revealed that the utilization level of the cloud-based file storage and sharing system within the BIM work process is still very low among firms with less than 20% of the respondents actively operating on a cloud-based server. The study also revealed high BIM setup and maintenance cost as the greatest barrier for firms in transitioning to a cloud-based system with a mean score of 4.74 and an RI value of 0.95. The study recommends greater awareness of the cloud server system amongst firms’ top-level management for increased financial investment for daily operational cost savings that the hybrid work model offers.

 

Author(s) Details

Sogo Abiola Oyesode
Department of Architecture, Caleb University, Imota, Lagos, Nigeria.

 

Victor U. Achime
Slick Design Konsult, Ikorodu, Lagos, Nigeria.

 

Steve B. Jayeoba
Department of Architecture, Caleb University, Imota, Lagos, Nigeria.

 

Please see the book here: https://doi.org/10.9734/bpi/caert/v7/1675

Scalable Infrastructure: Building Reliable Distributed Systems | Book Publisher International

Background and Motivation: Modern software applications increasingly rely on distributed architectures to achieve the scale, reliability, and performance required by today's users. However, building effective distributed systems presents unique challenges that traditional software engineering approaches cannot adequately address. The complexity of managing multiple independent components, ensuring data consistency across network boundaries, and maintaining system resilience in the face of partial failures requires specialised knowledge and proven patterns.

 

Scope and Approach: This book provides a comprehensive examination of distributed systems engineering, focusing on practical implementation within modern cloud platforms. Rather than treating distributed systems as purely theoretical constructs, we explore concrete architectural patterns, implementation strategies, and operational practices that have proven effective in production environments. The content draws extensively from real-world experience with AWS and Azure platforms, offering specific guidance for implementing distributed systems concepts using cloud-native services.

 

Key Contributions

 

The book makes several key contributions to the distributed systems literature:

 

Bridging Theory and Practice: We connect fundamental distributed systems principles with practical implementation guidance, showing how concepts like the CAP theorem translate into real architectural decisions.

Cloud-Native Focus: Rather than generic distributed systems advice, we provide specific patterns and practices optimised for AWS and Azure environments, including service selection guidance and configuration recommendations.

Holistic System View: We examine distributed systems from multiple perspectives—architecture, reliability, security, observability, data management, and performance—showing how these concerns interact and influence each other.

Proven Patterns: The architectural patterns and practices presented have been validated through implementation in production systems serving millions of users.

Target Audience and Impact: This work addresses the needs of software architects, senior engineers, and engineering leaders responsible for designing and implementing scalable infrastructure. By providing both conceptual foundations and practical guidance, the book enables organisations to successfully navigate the transition from monolithic to distributed architectures while avoiding common pitfalls that can lead to system complexity, operational overhead, and reliability issues.

 

Author (s) Details

Akaash Vishal Hazarika
Salesforce Inc., USA.

 

Aniket Abhishek Soni
Cognizant Technology Solutions, USA.

 

Please see the book here:- https://doi.org/10.9734/bpi/mono/978-93-49970-00-7

An Extended Ameliorated Round Robin Algorithm in Cloud Computing for Task Scheduling | Chapter 7 | Mathematics and Computer Science: Contemporary Developments Vol. 4

Cloud computing is a cutting-edge technology that provides a variety of services on demand. Due to the substantial volume of requests received from cloud users, it is crucial to manage these requests efficiently. As such, task scheduling becomes a vital aspect of cloud computing. The allocation of computational resources within the cloud is managed by cloud providers, highlighting the necessity for designing high-efficiency scheduling algorithms compatible with diverse computing paradigms.

 

This chapter introduces a new method for task scheduling in cloud computing called the Ameliorated Round Robin Algorithm (ARRA). The proposed algorithm enhances the traditional Round Robin approach by developing an optimal time quantum based on the average burst time of tasks. This is achieved through both fixed and dynamic methodologies, allowing the algorithm to adapt to varying workloads more effectively.

 

The chapter provides a comprehensive analysis of the ARRA, demonstrating its superior performance through experimental results. These results indicate that ARRA significantly outperforms existing algorithms, such as Improved Round Robin (IRR), Enhanced Round Robin (ERR), Dynamic Time Quantum Approach (ARR), and Enhanced Round Robin with RAST (RAST ERR). The improvements are evident in key performance metrics, including average waiting time, average turnaround time, and response time.

 

By optimizing these metrics, ARRA not only enhances the efficiency of task scheduling in cloud computing but also contributes to better resource utilization and user satisfaction. This chapter delves into the technical details of the ARRA, provides comparative analyses with other algorithms, and discusses the implications of these findings for future research and practical applications in cloud computing environments.

 

Author (s) Details

Nermeen Ghazy
Department of Mathematics, Faculty of Science (Girls), Al-Azhar University, Cairo, Egypt.

 

Afaf Abdelkader
Department of Mathematics, Faculty of Science (Girls), Al-Azhar University, Cairo, Egypt.

 

Mervat S. Zaki
Department of Mathematics, Faculty of Science (Girls), Al-Azhar University, Cairo, Egypt.

 

Kamal A. Eldahshan
Department of Mathematics, Faculty of Science, Al-Azhar University, Cairo, Egypt.

 

Please see the book here:- https://doi.org/10.9734/bpi/mcscd/v4/1711

Quantum AI in Cloud Environments | Chapter 7 | Scientific Research, New Technologies and Applications Vol. 7

This paper explores the integration of Quantum Artificial Intelligence (AI) in cloud computing environments. It examines key research areas, including quantum algorithms for AI, Quantum-as-a-Service (QaaS), and serverless quantum architecture. The study highlights applications in finance, healthcare, and supply chain management, demonstrating improved computational speed and efficiency. Despite promising advancements, challenges like knowledge gaps, limited talent pool, and high costs persist. Future directions focus on addressing these challenges and expanding interdisciplinary applications. The paper concludes that Quantum AI in cloud computing offers significant potential for enhancing computational capabilities across various sectors while emphasizing the need for continued research and development.

 

Author (s) Details

Alex Mathew
Department of Cybersecurity, Bethany College, USA.

 

Please see the book here:- https://doi.org/10.9734/bpi/srnta/v7/3116

Integrating GrapesJS with AWS: Building an Educational Platform for Web Development Training | Chapter 8 | An Overview of Literature, Language and Education Research Vol. 10

Web development is a crucial skill in today’s digital economy, yet traditional educational methods often fail to adequately prepare students for the complexities of real-world development. The rapid evolution of web technologies demands innovative educational methods that balance theoretical instruction with practical experience. This paper examines the integration of GrapesJS, an open-source web builder, into educational platforms hosted on AWS (Amazon Web Services) to enhance web development training. By leveraging AWS's cloud infrastructure, educational institutions can provide scalable, secure, and interactive learning environments. The study presents case studies, performance evaluations, and student feedback to assess the impact of this approach on web development education. Results indicate significant improvements in student engagement and learning outcomes, demonstrating the potential of combining GrapesJS and AWS for modern web development training. The present study has demonstrated that combining a flexible, open-source web development environment like GrapesJS with the scalable, reliable, and secure infrastructure provided by AWS can create a powerful educational tool for both instructors and students.

 

Author (s) Details

 

Mahesh Kumar Bagwani
Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.

 

Virendra Kumar Tiwari
Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.

 

Neelu Singh
Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.

 

Akansha Sharma
Department of Computer Application, Lakshmi Narain College of Technology (MCA), Bhopal, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/aoller/v10/4349

Design and Development of Patient Monitoring System in Healthcare Using Cloud Computing Environment: A Review | Chapter 5 | Contemporary Perspective on Science, Technology and Research Vol. 8

This paper focuses on review of Design and Development of Health-care Patient Monitoring System using cloud environment. Cloud computing technology combines with the (IoT) Internet of Things concept and helps for maintaining and processing of vital data on-line instead offline. In traditional method of patient monitoring the patient’s physiological information is on paper recorded by the nurses. As these nurses work on shift basis the latest details of the patient may not be completely explained from outgoing to incoming nurse. Many times the diagnosis is made based on manually recorded physiological information and the prescription was noted without concern with tolerant current medical records. With such conventional method diagnoses as well as the recommendation are noted against the law, which does not permit to do experts to have an easy entry to tolerant record. With such scenario it is bit difficult to diagnose the patient correctly for the proper treatment. This leads to the expansion of store and ahead at least under ICU environment. With such system the patient’s normal functioning in the form of space-time records of biological event are seize, stored for as long as to the experts for unplugged.

 

This study aims to develop advanced Real time telemedicine system by using an ultra-low power processor and low power biomedical sensors. This proposed work tries to facilitate population living in rural as well as interior part of the country with portable battery operated Telemetric unit and to provide flexibility to such patients to have distant medical checkups as well as continuous patient monitoring. This study also shows methodology and basic idea about how the sensors, actuators connected to processor which able to process the signal in proper graphical physiological parameters of patients displayed on monitor by Java Programming technique later its connected to wireless sensor network then sent to web server to the experts present on another side. During this COVID-19 pandemic situation, biomedical healthcare Monitoring System is very helpful for those patients where vehicles, transportation and continuous monitoring is necessary.

Author(s) Details:

Sonal Bawankule,
Department of Computer Science and Engineering, Oriental University, Indore, India.

Rekha Shahapurkar,
Department of Computer Science and Engineering, Oriental University, Indore, India.

Please see the link here: https://stm.bookpi.org/CPSTR-V8/article/view/14052

A Brief Overview on Memory Management and Reuse Mechanism for Virtual Machine in Cloud Computing to Minimize Energy Consumption | Chapter 8 | Research and Applications Towards Mathematics and Computer Science Vol. 8

In this paper, a propose technique that reduces the size of memory image stored on source host before migration. Cloud computing is an emerging computing technology for large data centers that maintains computational resources through the internet, rather than on local computers. The ultimate goal of efficient resource utilization in cloud computing is to maximize the profit for cloud providers and to minimize the cost for cloud consumers. Virtual Machine (VM) migration provides the capability to balance the load, system maintenance and fault tolerance, etc. However, existing migration techniques, used to migrate virtual machines keeping memory images of VMs in host and skipping transfer of unchanged memory pages to reduce the amount of transfer data during migration, if number of migrations increases, number of memory images stored on host are also increased, this causes memory starvation. When a VM migrates to other host, memory images of VM is kept in the source host after removing unwanted data according to the Probability factor. When the VM migrates back to the original host later, the kept memory image will be “reused”, i.e. data which are identical to the kept data will not be transferred and comparative to existing system the size of memory image is small. To validate this approach, evaluate the results using different threshold levels and probability factor of change in data. Proposed system required less memory to store the memory image and allow more VMs to be hosted. Specifically, proposed work is used to improve resource efficiency throughout by reducing the size of memory image that is stored on source host. The current work focuses on efficient memory management for source host and will reduce the memory requirement while migration. The main idea behind this concept is, whenever a VM is ready for migration from one host to another, its current state is stored on source host for future use to reduce the data transfer when it come back from the destination host after processing.

Author(s) Details:

Sandeep Kaur,
Department of Computer Science and Engineering, Punjab Institute of Technology (PTU Main Campus), PTU University, Punjab, India.

Please see the link here: https://stm.bookpi.org/RATMCS-V8/article/view/13121

Optimal Engineering Design Based on Service-Oriented Computing (SOC) | Chapter 7 | Research Highlights in Science and Technology Vol. 4

 This division presents a roadmap of happening of the Engineering Design Environment (EDE), based on service-familiarize computing (SOC), and destined, in particularly, for posing and optimization of Nonlinear Dynamic Systems, centered on parts of various material natures and being widely used in miscellaneous scientific and engineering fields. Under SOC, all simulation process is divided into a accumulation of loosely-coupled, pertain cloud services (distinguishing software parts with unified interfaces) that can be performed at various Cloud sites and can be dynamically orchestrated to complete activity the simulation workflows created apiece users of computer network-based surroundings.  The Engineering Design Framework will support end users in developing custom-made simulation uses in the form of Software-as-a-Service (SaaS) based supplying. The Engineering Design Platform may be built on existent and proven electronics that will enable the project to give its results quickly. The WEB-located CAD Framework implementation uses the Internet forms and protocols to support the cooperation of several groups of designers working on the average tasks at their different stages.

Author(s) Details:

Anatoly Petrenko,
Department of System Design, Igor Sikorsky Kyiv Polytechnical Institute, Ukraine.

Please see the link here: https://stm.bookpi.org/RHST-V4/article/view/10913

An Analytical Study on Disruptive Technologies in Zimbabwe| Chapter 5 | Recent Progress in Science and Technology Vol. 2

 Our sink this study was to speak to causing trouble innovations in spite of cyber fraudsters who act the prowl. The goal concerning this study was therefore, to illustrate Zimbabwe's financial services area is embracing disruptive electronics and the preliminary benefits; one of the country's best financial institutions. The study selected the qualitative methodology accompanying a desk content study. The findings of the study are that: banks, as part of the monetary services industry, have the important roles in the development and economic development of a country with its own government; hence the necessity to insulate these institutions from the shenanigan of fraudsters. The study further discovered that Zimbabwean government's approach to novelty should be focused on big market changes alternatively on existing infrastructure. The study again found out that cyber-attacks are certain; however, skilled are various advantages to accepting disruptive technologies for the fiscal industry as labeled. There is need therefore, to fully understand disruptive technology and form its use more consummate. Apart from insulating information systems, calculatings, devices, programs, data and networks from within or external dangers, harm, damage, attacks or unauthorized access, - causing trouble technologies identified in the study to a degree Cloud computing, Artificial Intelligence, Block chain science, Cyber security, and Big Data; have other real benefits, ranging from serving more consumers, expanding retail share, to increasing revenue at a lower cost. The study suggested a couple of recommendations; that the economic service subdivision in Zimbabwe should adapt to causing trouble technologies and move from conservatism. That Regulators and the Government concede possibility soften investment laws and regulation to admit quick adoption to new causing trouble technologies what the financial service subdivision must invest in financial and workforce to enable nimble uptake of technological changes.

Author(s) Details:

Nyasha Kaseke,
University of Zimbabwe, P.O.Box MP167, Mt Pleasant Harare, Zimbabwe.

Enesiti Chirume,
Catholic University of Zimbabwe, P.O. Box H200, Hartfield, Harare, Zimbabwe.

Please see the link here: https://stm.bookpi.org/RPST-V2/article/view/9236

Different Challenges in Energy- Efficient Cloud Security: A Brief Review | Chapter 09 | Research Developments in Science and Technology Vol. 6

 Cloud computing is the most popular research topic nowadays because of its capacity to lower processing costs while increasing scalability and flexibility for computer services. Cloud computing is internet-based computing that shares resources and delivers data to apps to provide users with on-demand services. Cloud computing is one of the fastest-growing IT fields in the business sector. The security of cloud computing has become a key roadblock to its expansion. Cloud computing security is a set of rules, processes, controls, roles, permissions, and technology that all work together to keep cloud-based systems and data safe. Cloud computing security has become a hot subject in academia and industry because cloud users must keep their data safe in the cloud. Users may lose trust in the cloud due to a lack of security. A review of cloud computing security is the subject of this research. All tiers of SaaS (Software as a Service), PaaS (Platform as a Service), and IaaS (Infrastructure as a Service), as well as deployment strategies, are included in the study (Private, Public, Hybrid, and Community Cloud). The major goal of this research is to investigate and comprehend existing genetic algorithms and two-factor authentication in the context of cloud computing security, as well as to identify gaps through a literature review.

Author(S) Details

Poonam Kumari
Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India.

Meeta Singh
Department of Computer Science and Engineering, Manav Rachna International Institute of Research and Studies, Faridabad, Haryana, India.


View Book:- https://stm.bookpi.org/RDST-V6/article/view/7015

An Overview of Optimal Input-Output Planning Model and Cross-Boundary Economic Management Information System — Real-time Analysis of Input-output Optimal Planning Models and Timely Analysis of Input-output Statistical Models | Chapter 12 | New Innovations in Economics, Business and Management Vol. 8

 The important phrase in the IT business in 2010 was cross-boundary, which swept down from upstream industries to downstream terminals, PC, software, internet... with no exception in all fields. A dramatic shift has occurred as a result of the convergence of mobile and internet. Traditional fields' power, on the other hand, can never be duplicated in new places. The second cross-boundary is a theoretical basis of cross-boundary economic management information system as well as a scientific method for realising the integration between the optimal input-output planning model and Big data, new technologies of Cloud Computing, and Internet of Things or new internet industry by using mathematical tools from the thinking mode of discrete mathematics and continuous mathematics. The area, scale, strength, and effectiveness of its application with the second cross-boundary . The cross-border economic management information system may be utilised to boost not only enterprise management, but also modern management quality and governance capability, based on modernisation of enterprise management. It is not only a scientific foundation for constructing "One World," fairness, mutual benefit, and equitable competition, but it is also a strategy for entirely eliminating waste and corruption breeding grounds. A brief explanation based on real-time analysis of the optimal input-output planning model and timely analysis of the input-output statistical model will be presented in this work.

Note: The following are the shorter versions referenced in this document for your convenience: input-output model, short for input-output planning model and input-output statistical model; the optimal micro input-output planning model and the optimal macro input-output planning model; the optimal input-output planning model, short for the optimal micro input-output planning model and the optimal macro input-output planning model; the optimal input-output planning model, short for the optimal micro input-output planning model and the optimal macro input-output planning model; input-output statistical model, short for real-time analysis of the optimal macro input-output planning model and timely analysis of macro input-output statistical model; real-time analysis of the optimal input-output planning model and timely analysis of input-output statistical model; real-time analysis of the optimal micro input-output planning model and timely analysis of micro input-output statistical model; real-time analysis of the optimal micro input-output planning model and timely analysis of micro input-output statistical model; real-time analysis of the optimal micro input-out Combinations between the optimal input-output planning model and new technology and new industry, short for combinations of the optimal micro input-output planning model and new technology and new industry as well as the optimal macro input-output planning model and "new technology" and "new industry"; new technology, short for Big data and new Cloud Computing technologies; new industry, short for Internet of Things or new internet industry; Manufacturing refers to the integration of these three elements: objects of labour, labour force, means of labour, and relevant advancements; operation management refers to market management and finance management.


Author(S) Details

Ning Kang
Training and Evaluation Centre, Guizhou Power Grid Company, China Southern Power Grid, Guiyang, China.

View Book:- https://stm.bookpi.org/NIEBM-V8/article/view/6744

The Emergence of Digital Economy and New Business Models in the Era of Digital Transformation | Chapter 13 |New Innovations in Economics, Business and Management Vol. 7

 The digital economy has emerged as a result of the digital transition, as mentioned in this article. On the one hand, the digital transformation has altered people's lifestyles, while on the other hand, digitalization has completely altered business procedures. Every country, developed or developing, has been severely touched by the digital economy. The digital economy is made up of three core components, and many business models have emerged as a result of the digital transition. The internet of things, cloud computing, and e-commerce are examples of this. These three business models have favourable overall economic consequences, and they are becoming the driving force behind global economic growth.

Author(S) Details

Omar Mohammad Al-Kasasbeh
Amman Arab University, Jordan.

View Book:- https://stm.bookpi.org/NIEBM-V7/article/view/6398

A Cost-effective 2-tier Security Paradigm to Safeguard Cloud Data with Faster Authentication: A Recent Study | Chapter 02 | Novel Perspectives of Engineering Research Vol. 9

 Recent technological advancements have propelled cloud computing (CC) infrastructure to new heights, with increased research focusing on cost-effective storage management. Due to the potential distributed and pervasive storage facility, it is inefficient in fully preserving the integrity of user data attributes. As a result, the collaborative sharing of user data creates a situation in which various security flaws emerge. Consumer data is obtained in the cloud by cloud service providers who can be trusted or untrustworthy. Various security protocols have been observed in the past that attempted to solve this similar problem with cryptographic solutions, but they lack computational sustainability and robustness. As a result, the study introduces a two-tier framework that provides enhanced access control and storage security for Virtual Machines (VMs). The research essentially improves the model's performance by hastening the authentication process. The system's performance has been compared to industry-standard encryption standards. In terms of processing time, time to generate a secret key, and key size for encryption, the results show that the proposed solution outperforms existing security standards.

Author(S) Details

Veena R. S.
Department of Computer Science and Engineering, RV Institute of Technology and Management, India.

View Book:- https://stm.bookpi.org/NPER-V9/article/view/6292

Appraisal on Live Virtual Machine Migrations and Its Approaches | Chapter 03 | Novel Perspectives of Engineering Research Vol. 6

 Today's world is dominated by the Internet. Almost everyone uses the internet to access various services. Various cloud users want a range of services based on their dynamically changing demands over the internet in Cloud Computing. As a result, cloud computing's task is to provide all of the desired services to cloud users. However, due to limited resources, it is extremely difficult for cloud providers to supply all of the requested services in a timely manner. Cloud resources must be allocated fairly from the standpoint of cloud providers. As a result, meeting cloud consumers' QoS requirements and satisfaction is a hot topic. Virtualization abstracts resources such as CPU and Memory to allow for more efficient resource consumption. In cloud computing, virtual machine migration is one of the most important approaches for dynamic resource management. The process of moving a virtual machine from one physical host to another is known as migration. This study focuses on critical performance issues, challenges, and techniques for cloud computing live virtual machine migration. It also outlines and concentrates on the fundamental challenges surrounding these existing live virtual machine migration solutions.

Author(S) Details

Swapnil M. Parikh
Department of Computer Science and Engineering, Parul Institute of Engineering and Technology, Parul University, Vadodara, Gujarat, India

View Book:- https://stm.bookpi.org/NPER-V6/article/view/5497

Study on Implementation of Cloud Computing in Education: A Revolution | Chapter 13 | Recent Advances in Mathematical Research and Computer Science Vol. 5

 To ride the inevitable tide of change, innovation is required, and cloud computing is one such hot current area of research in Information Technology (IT). Cloud computing is a distributed computing technique that makes software and hardware available over the Internet. It also provides storage, a computational platform, and infrastructure that the user requests based on their needs. Organizations must spend a significant amount of money on their infrastructure to meet the needs and demands of its consumers due to the growing demand for infrastructure educational establishments. Cloud computing is a next-generation platform that provides institutions and businesses with access to dynamic pools of resources while also lowering costs through better usage. Many educational institutions are currently dealing with issues related to the increased demand for IT and infrastructure. Cloud computing, a new technology that builds on current technologies like the Internet, virtualization, and grid computing, can help solve such difficulties by providing the necessary infrastructure, software, and storage. Developing a cloud architecture for education might vary depending on the institution's goal and infrastructure, and it can be difficult. A fundamental research was conducted in this paper to highlight how cloud computing may be used in education to improve teaching, agility, and have a cost-effective infrastructure that can bring about a revolution in the field of education. It also seeks to highlight its advantages and disadvantages.

Author(S) Details

Saju Mathew
Nellimoottil Grace Villa, Maruthamonpally, Pooyappally (P.O), Kollam (Dist), Kerala State – 691537, India.

View Book:- https://stm.bookpi.org/RAMRCS-V5/article/view/4978

Cloud Computing and Its Features: An Advanced Approach | Chapter 3 | Recent Advances in Mathematical Research and Computer Science Vol. 3

 Cloud computing is a method of storing and managing data on remote computers that makes use of the internet. They can be categorised as public cloud (owned and operated by a third-party cloud service provider), private cloud (owned and operated by a third-party cloud service provider), or hybrid cloud (owned and operated by a third-party cloud service provider). Hybrid cloud combines public and private clouds, bound together to allow data and applications to be shared between them. Private cloud – It refers to computing resources used exclusively by a single business or organisation, and Hybrid cloud – It refers to computing resources used exclusively by a single business or organisation. Cloud Computing has a few uses that are discussed.

Author(S) Details

Manu Mitra
Alumnus with Department of Electrical Engineering, University of Bridgeport, Bridgeport, United States.

View Book:- https://stm.bookpi.org/RAMRCS-V3/article/view/4463

Multiple Survey Report of Cloud Adoption and its Major Barriers in the Perspective of Bangladesh: A Review | Chapter 11| Modern Perspectives in Economics, Business and Management Vol. 7

 Cloud computing is referred to as globalisation in the context of computers and the internet. People use cloud technology on a daily basis, either directly or indirectly. Cloud computing is getting more widespread in every developed country, yet it is still uncommon in most third-world developing countries, such as Bangladesh. Cloud computing is controlled by Cloud Management tools, loaded by various other software testing tools, and tested by different other software testing tools. This article will provide a comprehensive overview of cloud computing's continual advancement, advantages, downsides, dependencies, and maturity from 2012 to the present. We'll also provide the most recent country rankings for cloud usage. In addition, one of our main objectives will be to examine major roadblocks to cloud adoption. Finally, we will offer some initial activities to integrate cloud technology in our country based on the earlier trade-off elements in the survey report.

Author (S) Details

Md. Masudul Islam
Department of CSE, Bangladesh University of Business and Technology (BUBT), Bangladesh.

Mijanur Rahaman
Department of CSE, Bangladesh University of Business and Technology (BUBT), Bangladesh.



View Book :- https://stm.bookpi.org/MPEBM-V7/article/view/3627