ENHANCING JOB SCHEDULING IN CLOUD ENVIRONMENT: A REVIEW

DOI:

https://doi.org/10.24297/ijct.v14i6.1911

Keywords:

Cloud Computing, Load Balacing, Virtual Machine, Data Center, Data Center Broker.

Abstract

Cloud computing is Internet based development and use of computer technology. It is a style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet. Users need not have knowledge of, expertise in, or control over the technology infrastructure "in the cloud" that supports them. Scheduling is one of the core steps to efficiently exploit the capabilities of heterogeneous computing systems. The problem of mapping meta-tasks to a machine is shown to be NP-complete. The NP-complete problem can be solved only using heuristic approach. There are a number of heuristic algorithms that were tailored to deal with scheduling of independent tasks. Different criteria can be used for evaluating the efficiency of scheduling algorithms. The most important of them are makespan, flowtime and resource utilization. In this paper, a new heuristic algorithm for scheduling meta-tasks in heterogeneous computing system is presented. The proposed algorithm improves the performance in both makespan and effective utilization of resources by reducing the waiting time. 

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Published

2015-04-18

How to Cite

ENHANCING JOB SCHEDULING IN CLOUD ENVIRONMENT: A REVIEW. (2015). INTERNATIONAL JOURNAL OF COMPUTERS &Amp; TECHNOLOGY, 14(6), 5796–5802. https://doi.org/10.24297/ijct.v14i6.1911

Issue

Section

Research Articles