Currently cloud computing has turned into a promising technology and has become a great key for satisfying a flexible service oriented , online provision and storage of computing resources and user’s information in lesser expense with dynamism framework on pay per use basis.In this technology Job Scheduling Problem is acritical issue. For well-organizedmanaging and handling resources, administrations, scheduling plays a vital role. This paper shares out the improved Hyper- Heuristic Scheduling Approach to schedule resources, by taking account of computation time and makespan with two detection operators. Operators are used to select the low-level heuristics automatically. Conditional Revealing Algorithm (CRA)idea is applied for finding the job failures while allocating the resources. We believe that proposed hyper-heuristic achieve better results than other individual heuristics.
%0 Journal Article
%1 deepak2016hyperheuristic
%A Deepa.K,
%A Prabhu.S,
%A Dr.N.Sengottaiyan,
%D 2016
%J Informatics Engineering, an International Journal (IEIJ)
%K Algorithm Cloud Computing Hyper-Heuristic Job Makespan Problem Scheduling Time failure job
%N 1
%P 1-9
%R 10.5121/ieij.2016.4103
%T Hyper-Heuristic Method For Scheduling The Jobs In Cloud Environment
%U http://airccse.org/journal/ieij/current.html
%V 4
%X Currently cloud computing has turned into a promising technology and has become a great key for satisfying a flexible service oriented , online provision and storage of computing resources and user’s information in lesser expense with dynamism framework on pay per use basis.In this technology Job Scheduling Problem is acritical issue. For well-organizedmanaging and handling resources, administrations, scheduling plays a vital role. This paper shares out the improved Hyper- Heuristic Scheduling Approach to schedule resources, by taking account of computation time and makespan with two detection operators. Operators are used to select the low-level heuristics automatically. Conditional Revealing Algorithm (CRA)idea is applied for finding the job failures while allocating the resources. We believe that proposed hyper-heuristic achieve better results than other individual heuristics.
@article{deepak2016hyperheuristic,
abstract = {Currently cloud computing has turned into a promising technology and has become a great key for satisfying a flexible service oriented , online provision and storage of computing resources and user’s information in lesser expense with dynamism framework on pay per use basis.In this technology Job Scheduling Problem is acritical issue. For well-organizedmanaging and handling resources, administrations, scheduling plays a vital role. This paper shares out the improved Hyper- Heuristic Scheduling Approach to schedule resources, by taking account of computation time and makespan with two detection operators. Operators are used to select the low-level heuristics automatically. Conditional Revealing Algorithm (CRA)idea is applied for finding the job failures while allocating the resources. We believe that proposed hyper-heuristic achieve better results than other individual heuristics.},
added-at = {2019-10-23T14:34:16.000+0200},
author = {Deepa.K and Prabhu.S and Dr.N.Sengottaiyan},
biburl = {https://www.bibsonomy.org/bibtex/2c10a06008af9e74491263b8c75c8dd90/ieij1},
doi = {10.5121/ieij.2016.4103},
interhash = {98ddb0539a98e1410b832f86417e5a01},
intrahash = {c10a06008af9e74491263b8c75c8dd90},
journal = {Informatics Engineering, an International Journal (IEIJ)},
keywords = {Algorithm Cloud Computing Hyper-Heuristic Job Makespan Problem Scheduling Time failure job},
month = {March},
number = 1,
pages = {1-9},
timestamp = {2019-10-23T14:36:31.000+0200},
title = {Hyper-Heuristic Method For Scheduling The Jobs In Cloud Environment},
url = {http://airccse.org/journal/ieij/current.html},
volume = 4,
year = 2016
}