Resource Scheduling Techniques in Cloud Computing Environment : A Survey

Authors

  • Prof. Shailendra Raghuvanshi  Takshila Institute of Engineering and Technology, Jabalpur, Madhya Pradesh, India
  • Priyanka Dubey   Takshila Institute of Engineering and Technology, Jabalpur, Madhya Pradesh, India

DOI:

https://doi.org//10.32628/IJSRSET11841119

Keywords:

Cloud Computing, Resource Provisioning, Static, Dynamic.

Abstract

Cloud Computing is a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, applications and services) that can be rapidly provisioned and released. Resource Provisioning means the selection, deployment, and run-time management of software (e.g., database server management systems, load balancers) and hardware resources (e.g., CPU, storage, and network) for ensuring guaranteed performance for applications. Resource Provisioning is an important and challenging problem in the large-scale distributed systems such as Cloud computing environments. There are many resource provisioning techniques, both static and dynamic each one having its own advantages and also some challenges. These resource provisioning techniques used must meet Quality of Service (QoS) parameters like availability, throughput, response time, security, reliability etc., and thereby avoiding Service Level Agreement (SLA) violation. In this paper, survey on Static and Dynamic Resource Provisioning Techniques is made.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2018-11-30

Issue

Volume 4, Issue 11, November-December-2018

Section

Research Articles

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How to Cite

[1]
Prof. Shailendra Raghuvanshi, Priyanka Dubey , " Resource Scheduling Techniques in Cloud Computing Environment : A Survey, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 4, Issue 11, pp.64-68, November-December-2018. Available at doi : https://doi.org/10.32628/IJSRSET11841119