Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/5630
Full metadata record
DC FieldValueLanguage
dc.contributor.authorAhmed, Abdalkafor-
dc.date.accessioned2022-10-23T19:58:35Z-
dc.date.available2022-10-23T19:58:35Z-
dc.date.issued2020-04-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/5630-
dc.description.abstractCloud computing plays an important role in our daily life. It has direct and positive impact on share and update data, knowledge, storage and scientific resources between various regions. Cloud computing performance heavily based on job scheduling algorithms that are utilized for queue waiting in modern scientific applications. The researchers are considered cloud computing a popular platform for new enforcements. These scheduling algorithms help in design efficient queue lists in cloud as well as they play vital role in reducing waiting for processing time in cloud computing. A novel job scheduling is proposed in this paper to enhance performance of cloud computing and reduce delay time in queue waiting for jobs. The proposed algorithm tries to avoid some significant challenges that throttle from developing applications of cloud computing. However, a smart scheduling technique is proposed in our paper to improve performance processing in cloud applications. Our experimental result of the proposed job scheduling algorithm shows that the proposed schemes possess outstanding enhancing rates with a reduction in waiting time for jobs in queue list.en_US
dc.language.isoen_USen_US
dc.subjectCloud computingen_US
dc.subjectTask scheduling algorithmen_US
dc.titleA hybrid approach for scheduling applications in cloud computing environmenten_US
dc.typeArticleen_US
Appears in Collections:قسم الشبكات

Files in This Item:
File Description SizeFormat 
57.pdf604.44 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.