Analysis of credit-based scheduling algorithms in the cloud computing framework

Cloud Computing has done so many advancements. Cloud has been used immensely from the last 4–5 years. Cloud computing is based on distributed computing. Many organizations and individuals are harnessing cloud services so that they can access the software and hardware. Every task in cloud computing i...

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Vydáno v:Materials today : proceedings Ročník 37; s. 1372 - 1376
Hlavní autoři: Narwal, Abhikriti, Dhingra, Sunita
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier Ltd 01.01.2021
Témata:
Cloud computing
Credit-based scheduling
Load balancing
Task scheduling
Virtual machines
Task scheduling
Cloud computing
Virtual machines
Credit-based scheduling
Load balancing
ISSN:2214-7853, 2214-7853
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Shrnutí:Cloud Computing has done so many advancements. Cloud has been used immensely from the last 4–5 years. Cloud computing is based on distributed computing. Many organizations and individuals are harnessing cloud services so that they can access the software and hardware. Every task in cloud computing is different from the other. For efficient working of cloud services, there should be appropriate scheduling of the tasks. Many scheduling algorithms are deployed for the efficient working of the cloud services. The main focus of cloud service providers should be on user satisfaction. The cloud environment comprises of the hypervisor and it should be taken care that no virtual machine should be loaded with heavy tasks. It is very crucial to handle the entire load by deploying suitable scheduling algorithms along with the load balancing methods. Credit based scheduling works on assigning tasks to virtual machines by setting priorities but credit-based scheduling when incorporated with load balancing then load is distributed among servers, networks and computers. By comparing CBSA and CBSA_LB, users get aware regarding which suits them according to their requirements. The main motive of scheduling algorithm is to utilize each and every resource efficiently. In this paper, the study of credit-based scheduling in the cloud framework is depicted along with the comparison between CBSA and CBSA_LB. The results are evaluated based on the basis of total processing time, total processing cost, and make span time.
ISSN:2214-7853
2214-7853
DOI:10.1016/j.matpr.2020.06.564