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publications:publi:mrmpzfvpjl13tbp [2019/10/25 07:54] (current)
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 +<p> <h1> MrMpZfVPjl13TBP</​h1>​
 + <​p><​span class="​BibAuthor">​R. Mian, P. Martin, F. Zulkernine, J.L. Vazquez-Poletti</​span>​. <span class="​BibInProceedingsTitle">​Towards building performance models for data-intensive workloads in public clouds</​span>​. In <span class="​BibInProceedingsBooktitle">​4th ACM/SPEC International Conference on Performance Engineering</​span>,​ ICPE '13, Pages 259-270, 2013.</​P><​p>​
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 +<a name="​abstract"></​a><​h2>​ Abstract ​ </h2> <​P> ​
 +The cloud computing paradigm provides the "​illusion"​ of infinite resources and, therefore, becomes a promising candidate for large-scale data-intensive computing. In this paper, we explore experiment-driven performance models for data-intensive workloads executing in an infrastructure-as-a-service (IaaS) public cloud. The performance models help in predicting the workload behaviour, and serve as a key component of a larger framework for resource provisioning in the cloud. We determine a suitable prediction technique after comparing popular regression methods. We also enumerate the variables that impact variance in the workload performance in a public cloud. Finally, we build a performance model for a multi-tenant data service in the Amazon cloud. We find that a linear classifier is sufficient in most cases. On a few occasions, a linear classifier is unsuitable and non-linear modeling is required, which is time consuming. Consequently,​ we recommend that a linear classifier be used in training the performance model in the first instance. If the resulting model is unsatisfactory,​ then non-linear modeling can be carried out in the next step<​p>​
 + <a name="​keyword"></​a>​ <​h2>​Keywords </h2> <p> [ <a href="/​doku.php?​id=publications:​keyword:​medianet">​Medianet</​a>​ ] [ <a href="/​doku.php?​id=publications:​keyword:​tin2012-31518">​ Tin2012-31518</​a>​ ] [ <a href="/​doku.php?​id=publications:​keyword:​cloud">​ Cloud</​a>​ ] 
 +<a name="​contact"></​a><​h2>​ Contact ​ </h2> <​P> ​
 +<a href="​mailto:​jlvazquez@fdi.ucm.es">​Jose Luis  Vazquez-Poletti</​a> ​ <a href="/​jlvazquez">​ <img src="/​lib/​exe/​fetch.php?​w=&​h=&​cache=cache&​media=html_icon.png"​ align=top border=0 alt =""></​a><​br> ​
 +
 +<a name="​bib"></​a><​h2>​ BibTex Reference ​ </h2> <​P> ​
 +@InProceedings{MrMpZfVPjl13TBP,​ <​br>&​nbsp;&​nbsp;&​nbsp;​Author = {Mian, R. and Martin, P. and Zulkernine, F. and Vazquez-Poletti,​ J.L.},<​br>&​nbsp;&​nbsp;&​nbsp;​Title = {Towards building performance models for data-intensive workloads in public clouds},<​br>&​nbsp;&​nbsp;&​nbsp;​BookTitle = {4th ACM/SPEC International Conference on Performance Engineering},<​br>&​nbsp;&​nbsp;&​nbsp;​Pages = {259--270},<​br>&​nbsp;&​nbsp;&​nbsp;​Series = {ICPE '​13},<​br>&​nbsp;&​nbsp;&​nbsp;​Publisher = {ACM},<​br>&​nbsp;&​nbsp;&​nbsp;​Year = {2013}<​br>​} <​br><​p>​
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 +</​div></​html>​
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