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

 

Trusted Execution Environments for Internet of Things Devices: A Recent Study| Chapter 6 | Techniques and Innovation in Engineering Research Vol. 6

 It's everyday to be worried about the safety of Internet-connected device and the people the one use them (IoT). The popular cost of low-end microcontrollers (MCUs) is one inducement many Internet of Things devices believe them [1]. However, many MCUs lack some security protections other than the talent to partition important dossier and programs. Arm's Trustzone-M technology, a inclusive security solution for ensuring Internet of Things devices, is immediately available for unification with the company's Cortex-M microcontrollers (MCUs). It has happened suggested that Trusted Execution Environments (TEEs), that are based on Trustzone fittings, may be used to increase the level of security on handy devices. Over the course of the last various years, a a lot of individuals have put in plenty effort to locate hundreds of safety flaws and create a toolbox of defences that maybe used against a broad difference of dangers. Despite the fact that they involve the same vulnerabilities that were found in the past, Trusted Execution Environment (TEE) resolutions that are based on Trustzone-M touch thrive. UTANGO is the first product of allure sort when it comes to TEEs for the Internet of Things. UTANGO presents an completely new design for Trustzone (M) enhanced TEEs in consideration of address the problems that have been recognized. To be more specific, we build alone secure execution zones outside the need for specialised hardware by utilising the same Trustzone fittings primitives as two-fold-world implementations. This admits us to avoid the cost and complexity guide purchasing supplementary hardware. UTANGO seen testing on an authorised Trustzone-M hardware policy known as the Arm Musca-B1.To better accept how this fanlight of opportunity has been utilised for the different IoT possibilities, that typically address features in the way that device working resource restraints, we conducted a systematic article review. The concepts of freedom, fog computing, the Internet of Things, and Intel SGX are between those primarily discussed.

Author(s) Details:

Abhilash Kayyidavazhiyil,
Liverpool Johnmoore University, UK.

Sheena Kaipacheri,
KATIM, Abu dhabi, United Arab Emirates.

Please see the link here: https://stm.bookpi.org/TAIER-V6/article/view/8952

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

Smart Agriculture: IOT with Cloud Computing, Fog Computing and Edge Computing | Chapter 4 | Emerging Trends in Engineering Research and Technology Vol. 2

Smart Farming could be a explained as a farming method which works on the thought process of a fashionable technology to increase the yield of the amount and quality of agricultural merchandise. IoT-based smart farming, a system solely made for the observation of crops in the field with the assistance of sensors and automating the irrigation system in accordance to our needs. Antique cloud-based system which uses mostly IoT models are inadequate to handle the traffic and the database of knowledge. So as to an extent it turns out to be lower latency, longer battery life for IoT devices, a lot of efficient money-based knowledge management, access to knowledge management and AI, ML IoT-EDGE based system is proposed or may be adopted. Edge for the IoT brings potential edges for several IoT deployments, as well as removal of interval in conjunction with geometric communications potency, compared to exploitation of the cloud to process and store knowledge. For example, several IoT processes will have a high level of automation at the sting leading to low latency for fast processing. The machine if ogsim is employed for modelling and simulating the sting based mostly on the IoT system which also includes the edge and the fog. The results of this method are to indicate that Edge computing based mostly IoT models are a lot of economical and extremely fast and may turn out and provide higher results when put next to different systems.

Author(s) Details

Ms. S. Nandhini
Srm Institute of Science and Technology, Chennai, India.

Shivcharan Bhrathi
Srm Institute of Science and Technology, Chennai, India

D. Dheeraj Goud
Srm Institute of Science and Technology, Chennai, India

K. Pranay Krishna
Srm Institute of Science and Technology, Chennai, India


View Book :- http://bp.bookpi.org/index.php/bpi/catalog/book/170