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Job Scheduling for High Performance Computing and Cloud Environment

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dc.contributor.author Kyaw, Lett Yi
dc.contributor.author Phyu, Sabai
dc.date.accessioned 2019-07-22T07:51:14Z
dc.date.available 2019-07-22T07:51:14Z
dc.date.issued 2019-02-27
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1161
dc.description.abstract High performance computing (HPC) is famous and latest trend in current research era. User request many jobs and they want to get accurate results and quick time within eye blink. There are so many processors running large data centers and large systems. So many processes will work large data center and large system. Many jobs within high performance scheduling environment is preparing the job to understand and calculate to get the improve result and to reduce the processing time in a system. Requests for greater capacity were met by building more powerful systems with more compute nodes, scalability and higher processor operating frequencies for business applications, education, and scientific application. There are various ways to schedule parallel jobs but in this paper discusses some of the technical challenges ,methods of scheduling and one of proposed system in cloud (HPC) environment. en_US
dc.language.iso en en_US
dc.publisher Seventeenth International Conference on Computer Applications(ICCA 2019) en_US
dc.subject HPC en_US
dc.subject preparing jobs en_US
dc.subject technical challenges en_US
dc.subject scheduling methods en_US
dc.title Job Scheduling for High Performance Computing and Cloud Environment en_US
dc.type Article en_US


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