Scheduling Under Open Stack – The Current State and Future Enhancements
Uma Maheswara Rao I1, JKR Sastry2 

1Dr. JKR Sastry, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, AP, India
2Uma Maheswara Rao I, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur District, AP, India.

Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 375-382 | Volume-8 Issue-2, July 2019 | Retrieval Number: B1481078219/19©BEIESP | DOI: 10.35940/ijrte.B1481.078219
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Abstract: Cloud computing is being heavily used for implementing different kinds of applications. Many of the client applications are being migrated to cloud for the reasons of cost and elasticity. Cloud computing is generally implemented on distributing computing wherein the Physical servers are heavily distributed considering both hardware and software, the connectivity among which is established through Internet. The cloud computing systems as such have many physical servers which contain many resources. The resources can be made to be shared among many users who are the tenants to the cloud computing system. The resources can be virtualized so as to provide shared resources to the clients. Scheduling is one of the most important task of a cloud computing system which is concerned with task scheduling, resource scheduling and scheduling Virtual Machin Migration. It is important to understand the issue of scheduling within a cloud computing system more in-depth so that any improvements with reference to scheduling can be investigated and implemented. For carrying in depth research, an OPEN source based cloud computing system is needed. OPEN STACK is one such OPEN source based cloud computing system that can be considered for experimenting the research findings that are related to cloud computing system. In this paper an overview on the way the Scheduling aspect per say has been implemented within OPEN STACK cloud computing system.
Index Terms: Cloud Computing, Scheduling, OPEN STACK, Resource Scheduling, Task Scheduling, VM Migration Scheduling

Scope of the Article: Cloud Computing