DYNAMIC WEB WORKLOAD MIGRATION TO CLOUD ENVIRONMENT
K. V. Nithyasundari
II year M.E. (CSE), Shree Venkateshwara HI-Tech Engg College, Gobi
Dr. T. Senthil Prakash
Professor & HOD, Shree Venkateshwara HI-Tech Engg College, Gobi
P. M. Manochitra
II year M.E. (CSE), Shree Venkateshwara HI-Tech Engg College, Gobi
R. Senthil Kumar
II year M.E. (CSE), Shree Venkateshwara HI-Tech Engg College, Gobi
50-58
Vol: 6, Issue: 1, 2016
Receiving Date:
2015-11-22
Acceptance Date:
2015-12-20
Publication Date:
2016-01-16
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Abstract
Web applications are accessed by million of users over the internet via a common web browser software.
Traditional web application hosting model requires additional hardware to handle peak loads. Traffic
uncertainty faces low utilization rates of hardware components. Cloud based virtualized services are used
to support resources for web applications. Cloud services are provided in three layers such as
infrastructure, platform and software services. Web application workloads are migrated to cloud
environment to utilize the resources. Web/application server, load-balancer and database are transferred
from the local data center to the selected cloud infrastructure. Price, Service Level Agreement (SLA),
network latency, data center location and support quality factors are considered in the migration
process.Cloud service provider’s offers computational services and Virtual Machine (VM) images for
information systems. Throughput and cost factors are considered in the service selection process.
CloudGenius framework is constructed to handle process migration from web applications into public
cloud resources. CloudGenius provides migration support for multi-component web applications.
Evolutionary migration process for web application clusters is distributed over multiple locations. A
multi-criteria-based selection algorithm on Analytic Hierarchy Process (AHP) is employed in
CloudGenius model. Parallel Genetic Algorithm (PGA) is applied to select migration solutions.
CumulusGenius is an implementation support for CloudGenius framework.
Keywords:
Cloud computing, parallel workloads, public clouds and Virtualization.
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