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