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    <title>DSpace Collection:</title>
    <link>http://localhost:8080/xmlui/handle/123456789/1102</link>
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    <pubDate>Thu, 23 Apr 2026 14:18:22 GMT</pubDate>
    <dc:date>2026-04-23T14:18:22Z</dc:date>
    <item>
      <title>An Efficient Approach for Energy Conservation in Cloud Computing Environment</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3837</link>
      <description>Title: An Efficient Approach for Energy Conservation in Cloud Computing Environment
Authors: Pande, Sohan Kumar; Panda, Sanjaya Kumar; Sahu, Preeti Ranjan
Abstract: Recent trends of technology have explored a&#xD;
numerous applications of cloud services, which require a&#xD;
significant amount of energy. In the present scenario, most of&#xD;
the energy sources are limited and have a greenhouse effect on&#xD;
the environment. Therefore, it is the need of the hour that the&#xD;
energy consumed by the cloud service providers must be&#xD;
reduced and it is a great challenge to the research community to&#xD;
develop energy-efficient algorithms. To design the same, some&#xD;
researchers tried to maximize the average resource utilization,&#xD;
whereas some researchers tried to minimize the makespan.&#xD;
However, they have not considered different types of resources&#xD;
that are present in the physical machines. In this paper, we&#xD;
propose a task scheduling algorithm, which tries to improve&#xD;
utilization of resources (like CPU, disk, I/O) explicitly, which in&#xD;
turn increases the utilization of active resources. For this, the&#xD;
proposed algorithm uses a fitness value, which is a function of&#xD;
CPU, disk and I/O utilization, and processing time of the task.&#xD;
To demonstrate the performance of the proposed algorithm,&#xD;
extensive simulations are performed on both proposed&#xD;
algorithm and existing algorithm MaxUtil using synthetic&#xD;
datasets. From the simulation results, it can be observed that&#xD;
the proposed algorithm is a better energy-efficient algorithm&#xD;
and consumes less energy than the MaxUtil algorithm.
Description: NITW</description>
      <pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3837</guid>
      <dc:date>2025-01-01T00:00:00Z</dc:date>
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    <item>
      <title>Modelling Renewable Energy-Based Cloud Computing Environment by Harnessing Solar Energy</title>
      <link>http://localhost:8080/xmlui/handle/123456789/3835</link>
      <description>Title: Modelling Renewable Energy-Based Cloud Computing Environment by Harnessing Solar Energy
Authors: Nayak, Sanjib Kumar; Padhee, Subhransu; Panda, Sanjaya Kumar
Description: NITW</description>
      <pubDate>Fri, 01 Jan 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8080/xmlui/handle/123456789/3835</guid>
      <dc:date>2021-01-01T00:00:00Z</dc:date>
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