Journal 4 Research - J4R | Online International Engineering Journal‎ - Publish Your Research Paper

Journal For Research (J4R) is an Online Open Access Peer Reviewed Indexed Journal. It is an Internationally refereed journal that is dedicated to the publishing of the latest advancements in engineering research. Impact Factor : 4.492 | IC Value (2016) : 71.70 New Publication Charges 750 INR for Indian Author. ✆ 08735049634 & ✉ editor.j4r@gmail.com

Thursday, 26 November 2015

Task Scheduling using Amalgamation of Metaheuristics Swarm Optimization Algorithm and Cuckoo Search in Cloud Computing Environment

TASK SCHEDULING USING AMALGAMATION OF MET HEURISTICS SWARM OPTIMIZATION ALGORITHM AND CUCKOO SEARCH IN CLOUD COMPUTING ENVIRONMENT

Author(s):P.Durgadevi , R.M.K College of Engineering and Technology; Dr.S.Srinivasan, R.M.D Engineering College 

Keywords:Virtualization, Quality of service, Task scheduling, Swarm Optimisation , Metaheuristics 

Abstract:Cloud Computing is the latest networking technology and also popular archetype for hosting the application and delivering of services over the network. The foremost technology of the cloud computing is virtualization which enables of building the applications, dynamically sharing of resources and providing diverse services to the cloud users. With virtualization, a service provider can guarantee Quality of Service to the user at the same time as achieving higher server consumption and energy competence. One of the most important challenges in the cloud computing environment is the VM placemnt and task scheduling problem. This paper focus on Metaheuristic Swarm Optimisation Algorithms(MSOA) deals with the problem of VM placement and Task scheduling in cloud environment. The MSOA is a simple parallel algorithm that can be applied in different ways to resolve the task scheduling problems. The proposed algorithm is considered an amalgamation of the SO algorithm and the Cuckoo search (CS) algorithm; called MSOACS. The proposed algorithm is evaluated using Cloudsim Simulator. The results proves the reduction of the makespan and increase the utilization ratio of the proposed MSOACS algorithm compared with SOA algorithms and Randomised Allocation Allocation (RA).

Introduction:

Clusters [1] are distributed systems under the supervision of single administrative domain. Grid [1] is a geographically dispersed collection of distributed systems. Cloud is a collection of parallel and distributed system where the nodes are virtualized whereby a single physical server can run multiple virtual servers, thus reducing the resources as well as the cost.
A cloud can be public, private or hybrid [2]. Private clouds are setup by enterprises for their internal use only. Public clouds are setup for public use by the enterprises. The users of a public cloud must agree to the Service Level Agreement (SLA) specified by the cloud provider. Hybrid cloud is a combination of private and public cloud. OpenStack is one the most popular software used to setup a cloud, others being Eucalyptus, OpenNebula, etc.


For full length Article Click Here


No comments :

Post a Comment