A cluster-based decentralized job dispatching for the large-scale cloud.

Journal article


Kang, Byungseok and Choo, Hyunseung 2016. A cluster-based decentralized job dispatching for the large-scale cloud. EURASIP Journal on Wireless Communications and Networking. https://doi.org/10.1186/s13638-016-0523-6
AuthorsKang, Byungseok and Choo, Hyunseung
Abstract

The remarkable development of cloud computing in the past few years, and its proven ability to handle web hosting
workloads, is prompting researchers to investigate whether clouds are suitable to run large-scale computations. Cloud
load balancing is one of the solution to provide reliable and scalable cloud services. Especially, load balancing for the
multimedia streaming requires dynamic and real-time load balancing strategies. With this context, this paper aims to
propose an Inter Cloud Manager (ICM) job dispatching algorithm for the large-scale cloud environment. ICM mainly
performs two tasks: clustering (neighboring) and decision-making. For clustering, ICM uses Hello packets that observe
and collect data from its neighbor nodes, and decision-making is based on both the measured execution time and
network delay in forwarding the jobs and receiving the result of the execution. We then run experiments on a
large-scale laboratory test-bed to evaluate the performance of ICM, and compare it with well-known decentralized
algorithms such as Ant Colony, Workload and Client Aware Policy (WCAP), and the Honey-Bee Foraging Algorithm
(HFA). Measurements focus in particular on the observed total average response time including network delay in
congested environments. The experimental results show that for most cases, ICM is better at avoiding system
saturation under the heavy load.

KeywordsCloud Computing; Cloud management
Year2016
JournalEURASIP Journal on Wireless Communications and Networking
PublisherSpringer
ISSN1687-1472
1687-1499
Digital Object Identifier (DOI)https://doi.org/10.1186/s13638-016-0523-6
Web address (URL)http://hdl.handle.net/10545/623726
hdl:10545/623726
Publication dates20 Jan 2016
Publication process dates
Deposited04 May 2019, 10:36
Accepted12 Jan 2016
ContributorsSungkyunkwan University
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