Management of data intensive divisible load in cloud systems with gossip protocol

Author

Nisha, L. ; Ajeena Beegom, A.S. ; Rajasree, M.S.

Author_Institution

Dept. of Comput. Sci. & Eng., Coll. of Eng., Trivandrum, India

fYear

2014

fDate

10-11 July 2014

Firstpage

856

Lastpage

861

Abstract

Scientific applications need to handle large volume of data-intensive computations and such computational load varies over time. We propose a new load balancing strategy for cloud environments handling those applications. Our strategy exploits the advantages of both push and pull approach to achieve load balancing. Gossip protocol is used to collect the resource statistics from a small set of cluster nodes. This paper considers a dynamic, distributed system for load balancing, which uses only the neighbourhood information to achieve the same.

Keywords

cloud computing; protocols; resource allocation; cloud environment; cloud systems; data intensive divisible load management; data-intensive computation; gossip protocol; load balancing strategy; neighbourhood information; resource statistics; Dynamic scheduling; Heuristic algorithms; Instruments; Load management; Memory management; Peer-to-peer computing; Protocols; Cloud computing; Clustering; Data intensive load; Distributed system; Gossip protocol; Load balancing; Random Sampling; Symmetric load balancing;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Communication and Computational Technologies (ICCICCT), 2014 International Conference on

Conference_Location

Kanyakumari

Print_ISBN

978-1-4799-4191-9

Type

conf

DOI

10.1109/ICCICCT.2014.6993078

Filename

6993078