Dynamic On-Line Allocation of Independent Task onto Heterogeneous Computing Systems to Maximize Load Balancing

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. On cloud computing platform, load balancing of the entire system can be dynamically handled by using virtualization technology through which it becomes possible to remap virtual machine and physical resources according to the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility.

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A Review on Load Balancing In Cloud Environment

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY ◽

10.24297/ijct.v17i1.7160 ◽

2018 ◽

Vol 17 (1) ◽

pp. 7120-7125 ◽

Cited By ~ 5

Author(s):

Amandeep Kaur ◽

Mr. Pawan Luthra

Keyword(s):

Cloud Computing ◽

Load Balancing ◽

Heterogeneous Computing ◽

Virtual Machines ◽

Technology Infrastructure ◽

Computing Systems ◽

Computing Platform ◽

Internet Users ◽

Cloud Computing Platform ◽

Heterogeneous Computing Systems

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. On cloud computing platform, load balancing of the entire system can be dynamically handled by using virtualization technology through which it becomes possible to remap virtual machine and physical resources according to the change in load. However, in order to improve performance, the virtual machines have to fully utilize its resources and services by adapting to computing environment dynamically. The load balancing with proper allocation of resources must be guaranteed in order to improve resource utility.

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Prediction-Based Independent Task Scheduling for Heterogeneous Distributed Computing Systems

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.457-458.1039 ◽

2012 ◽

Vol 457-458 ◽

pp. 1039-1046 ◽

Cited By ~ 1

Author(s):

You Wei Lu ◽

Zhen Zhen Xu ◽

Feng Xia

Keyword(s):

Distributed Computing ◽

Task Scheduling ◽

Execution Time ◽

Heterogeneous Computing ◽

Scheduling Algorithm ◽

Distributed Computing Systems ◽

Computing Systems ◽

Independent Task ◽

Balance Task ◽

Heterogeneous Computing Systems

Independent task scheduling algorithms in distributed computing systems deal with three main conflicting factors including load balance, task execution time and scheduling cost. In this paper, the problem of scheduling tasks arriving at a low rate and with long execution time in heterogeneous computing systems is studied, and a new scheduling algorithm based on prediction is proposed. This algorithm evaluates the utility of task scheduling based on statistics and prediction to solve the influence of heterogeneous computing systems. The experimental results reveal that the proposed algorithm adequately balances the conflicting factors, and thus performs better than some classical algorithms such as MCT and MET when the parameters are well selected.

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