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    <name>Article</name>
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              <text>Service request scheduling based on quantification principle using conjoint analysis and Z-score in cloud</text>
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          <name>Subject</name>
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              <text>Cloud computing; Conjoint analysis; Service request scheduling Scheduling principles; Z-score</text>
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              <text>Service request scheduling has a major impact on the performance of the service processing design in a large-scale distributed computing environment like cloud systems. It is desirable to have a service request scheduling principle that evenly distributes the workload among the servers, according to their capacities. The capacities of the servers are termed high or low relative to one another. Therefore, there is a need to quantify the server capacity to overcome this subjective assessment. Subsequently, a method to split and distribute the service requests based on this quantified server capacity is also needed. The novelty of this research paper is to address these requirements by devising a service request scheduling principle for a heterogeneous distributed system using appropriate statistical methods, namely Conjoint analysis and Z-score. Suitable experiments were conducted and the experimental results show considerable improvement in the performance of the designed service request scheduling principle compared to a few other existing principles. Areas of further improvement have also been identified and presented.  Copyright 2018 Institute of Advanced Engineering and Science. All rights reserved.</text>
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              <text>Arokia Paul Rajan R.</text>
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              <text>International Journal of Electrical and Computer Engineering, Vol-8, No. 2, pp. 1238-1246.</text>
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              <text>Institute of Advanced Engineering and Science</text>
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              <text>2018-01-01</text>
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              <text>&lt;a href="https://doi.org/10.11591/ijece.v8i2.pp1238-1246" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijece.v8i2.pp1238-1246&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042848113&amp;amp;doi=10.11591%2Fijece.v8i2.pp1238-1246&amp;amp;partnerID=40&amp;amp;md5=57a8aa1f0170099059969a58f73f643f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042848113&amp;amp;doi=10.11591%2fijece.v8i2.pp1238-1246&amp;amp;partnerID=40&amp;amp;md5=57a8aa1f0170099059969a58f73f643f&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>All Open Access; Green Open Access</text>
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              <text>ISSN: 20888708</text>
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              <text>Arokia Paul Rajan R., Department of Computer Science, Christ University, Bengaluru, Karnataka, 560 029, India</text>
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