International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 09 Issue: 04 | Apr 2022
p-ISSN: 2395-0072
www.irjet.net
AUTOMATED VM MIGRATION USING INTELLIGENT LEARNING TECHNIQUE Arun A1, Sanjeev A2,Tamizhmaran K3, Vijeth Samuel Devadoss N4 UG Students, Department of IT, SRM Valliammai Engineering College, Tamilnadu, India. ---------------------------------------------------------------------***--------------------------------------------------------------------other at any downtime. However, it faces a lot of issues Abstract - Cloud computing is an on-demand technology 1,2,3,4
when it undergone with live VM migration. Because it seems to be live for all time until the client stops their perspective and it may come difficult to hold the entire data in concurrently used in workload balancing, low energy retains and dynamic VM resizing to enhance bandwidth availability and hardware stability. Sometime, data Centre uses advance tools to transfers OS instantly over multiple machines. Thus, suffers large number of unnecessary memory transferring which results in conquering long migration time and downtime. In addition to this, locality information of different data canters is being identified to turn effective VMs migration and shared most common data page towards destination machine. Further, user’s authentication for faster VM migration present closer to other VMs access location. The most attractive features of the VMs migration are to identify the system locality. Generally, existing VMM techniques significantly decrease system reliability and increase the transmission end-to-end latency of the huge volume of the VMs. To resolve the above-mentioned problem, reduce unnecessary pre-copy of repeated content page and minimize number of VM migration. To prevent that a good Load Balancer as a service should be created to split the load between two hosts. The Fuzzy logic is used to make decision to migrate the VM or keep it as it is for maximum performance of the virtual machine host servers. In order to give a good user experience the VM migration is done as live so that it can be done with minimum downtime.
that comes with numerous benefits. The main advantage of cloud computing is that it doesn't require high-end machines to run. When a virtual machine is created or rented on a cloud service, it can be accessed anywhere and at any time. Cloud computing is great for security and safety purposes as the user doesn't have direct access to the hardware. A Virtual Machine Hosting Server is often created as a cluster, and the resources are underutilized due to a vulnerability in the load balancing software. Our goal is to develop LBaaS software that provides the best QoS. In order to achieve this, fuzzy logic is used to decide what action should be taken on the live virtual machine or a newly requested virtual machine. The data collector feeds the current state of the Virtual Machine Hosting server to the fuzzy logic, which uses the predefined rules to decide what action to take. The live migration technique is used for load balancing the Servers to ensure uninterrupted service to the user if the virtual machine is active.
Key words: Cloud Computing, Load Balancer as a Service (LBaas), Live Virtual Machine Migration, Fuzzy logic. 1. INTRODUCTION Cloud computing is a technology that uses the internet for storing and managing data on remote servers and then access data via the internet. Migration is the process by which a running virtual machine is moved from one physical host to another, with little or no disruption in service The VMs migration is providing fast network data sharing by keeping regular content pages in the destination machine. Usually, it can visualize the entire hardware feasibility study by external operating system (OS). The VM migration is providing fast network data sharing by keeping regular content pages in destination machine. Usually, it can visualize the entire hardware feasibility study by external operating system (OS). Thereby, the OS process consolidated into VMs which is to be referred as virtual machine migrations (VMM). By viewing hardware abstract, a user utilizes the VMs effectively. Hence, it generates distinct equipment layer on basics of system capacity. Thereby, it has conveyed that the proper support of VMs induces significant improvement in the resource management and migration efficiency. In case of offline VMs migration, allows memory sharing between two distinct machine and support to each
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Main Objective of the project:
Bandwidth availability and hardware stability. Workload balancing. Low energy consumption.
When the load between two Virtual Machine hosting server is imbalanced it can cause inefficient use of resources. VM load balancing is a feature that allows you to optimize utilization in your cluster. It identifies overcommitted servers and live migrates VMs from those servers to under-committed servers. Our goal is to create a Load Balancer as a service (LBaas) to properly maintain load between a clusters of VM servers. To achieve that a load balancing software is developed using a suitable decision-making technique. The Fuzzy logic is used for the decision-making technique. Two Virtual Machine Servers
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