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  <title>DSpace Community:</title>
  <link rel="alternate" href="http://hdl.handle.net/123456789/97" />
  <subtitle />
  <id>http://hdl.handle.net/123456789/97</id>
  <updated>2026-04-12T21:42:08Z</updated>
  <dc:date>2026-04-12T21:42:08Z</dc:date>
  <entry>
    <title>Optimal Resource Provosioning in Cloud computing</title>
    <link rel="alternate" href="http://hdl.handle.net/123456789/103" />
    <author>
      <name>Shelja Jose M</name>
    </author>
    <id>http://hdl.handle.net/123456789/103</id>
    <updated>2016-11-08T10:17:14Z</updated>
    <published>2016-11-01T00:00:00Z</published>
    <summary type="text">Title: Optimal Resource Provosioning in Cloud computing
Authors: Shelja Jose M
Abstract: Cloud computing is a technology that provides a variety of dynamically scalable and virtualized computing resources ranging from servers and storage to enterprise applications, in pay-as-you-use model via internet. Companies are able to rent resources from cloud on demand, so that their infrastructure cost can be reduced significantly. Multiple cloud users can request number of cloud services/resources simultaneously. So there must be provision that all resources are made available to requesting user in an efficient manner. However one of the major pitfalls related to this is the optimization of resources being allocated. It must be performed with the objectives of minimizing the costs associated with it, meeting customer demand and application requirements.  In this paper a review of various policies for dynamic resource allocation in cloud computing is shown based on Topology Aware Resource Allocation (TARA), Linear Scheduling Strategy for Resource Allocation and Dynamic Resource Allocation for Parallel Data Processing. Moreover, significance, advantages and limitations of using Resource Allocation in Cloud computing systems is also discussed. It is believed that this paper would benefit both cloud users and researchers in overcoming the challenges faced.</summary>
    <dc:date>2016-11-01T00:00:00Z</dc:date>
  </entry>
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