<html><head><meta http-equiv="Content-Type" content="text/html charset=us-ascii"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class=""><div class=""><div class=""><span class=""><font face="HelveticaNeue" size="3" class=""><b class="">Computation Institute Presentation</b></font></span></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div><div class=""><span class="" style="font-size: 14px;"><font face="Helvetica" class=""><div class="">Speaker:<span class=""> Yogesh Sharma, School of Computing, Engineering and Mathematics at Western Sydney University </span></div><div class=""><span class=""><div class="" style="display: inline !important;">Host:<span class=""> Kyle Chard</span></div></span></div><div class=""><span class=""><div class="" style="display: inline !important;">Date: <span class="">December 12, 2017</span></div></span></div><div class="">Time:<span class=""> 11:00 AM - 12:00 PM</span></div><div class="">Location:<span class=""> Computation Institute, 5735 S. Ellis Ave., Searle 240A</span></div><div class=""><span class="" style="color: rgb(51, 51, 51); orphans: 2; widows: 2; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class=""><b class="">Reliable and Energy Efficient Resource Provisioning and Allocation in Cloud Computing</b></span></div><div class=""><span class="" style="color: rgb(51, 51, 51); orphans: 2; widows: 2; background-color: rgb(255, 255, 255);"><br class=""></span></div><div class=""><span class="" style="color: rgb(51, 51, 51); orphans: 2; widows: 2; background-color: rgb(255, 255, 255);"><b class="">Abstract:</b></span></div></font></span></div></div><div class=""><div style="margin: 0in 0in 0.0001pt;" class=""><font face="Helvetica" class=""><span style="font-size: 14px;" class="">Reliability and Energy-efficiency is one of the biggest trade-off challenges confronting cloud services providers. To maximize the reliability of the cloud computing services, all the cloud service vendors add back-up resources and use replication as well as load balancing as fault tolerance mechanism. Adding extra resources increase energy consumption more steeply that the reliability. The key technique used to reduce the energy consumption is by running the resources on a low power scaling level or by turning off the under-utilized or idle resources such as back-up by migrating the running virtual machines (VM) from the under-utilized resources to other resources. Turning off the backup resources will reduce the reliability of the system. For example, if a physical machine fails due to some hardware or software issues before the completion of tasks and there are no recovery/back-up resources, then all the VMs and their corresponding processes will have to start again. This will dramatically increase overheads such as energy consumption and resource utilization. This creates a critical trade-off between the reliability and energy efficiency of the cloud computing systems. In order to reach equilibrium, there is a distinct need to focus on the optimization of relationship between reliability and energy efficiency of cloud computing systems by providing reliability and energy aware resource provisioning and VM allocation algorithms and system architectures.<o:p class=""></o:p></span></font></div><div class=""><font face="Helvetica" class=""><span style="font-size: 14px;" class=""><br class=""></span></font></div><div class=""><span style="color: rgb(51, 51, 51); orphans: 2; widows: 2; background-color: rgb(255, 255, 255); font-size: 14px;" class=""><font face="Helvetica" class=""><b class="">Bio:</b></font></span></div><div class=""><font face="Helvetica" class=""><span style="font-size: 14px;" class=""><span style="color: rgb(102, 102, 102); background-color: white;" class="">Yogesh Sharma is a PhD candidate with School of </span><a href="https://www.scem.uws.edu.au/" target="_blank" style="color: rgb(149, 79, 114);" class=""><span style="color: rgb(28, 124, 124); border: 1pt none windowtext; padding: 0in; background-color: white; text-decoration: none;" class="">Computing, Engineering and Mathematics</span></a><span style="color: rgb(102, 102, 102); background-color: white;" class=""> at </span><a href="https://www.westernsydney.edu.au/" target="_blank" style="color: rgb(149, 79, 114);" class=""><span style="color: rgb(28, 124, 124); border: 1pt none windowtext; padding: 0in; background-color: white; text-decoration: none;" class="">Western Sydney University</span></a><span style="color: rgb(102, 102, 102); background-color: white;" class="">. He is working with </span><a href="https://www.westernsydney.edu.au/staff_profiles/uws_profiles/doctor_bahman_javadi_jahantigh" target="_blank" style="color: rgb(149, 79, 114);" class=""><span style="color: rgb(28, 124, 124); border: 1pt none windowtext; padding: 0in; background-color: white; text-decoration: none;" class="">Dr. Bahman Javadi</span></a><span style="color: rgb(102, 102, 102); background-color: white;" class=""> in the area of Cloud Computing. He is interested in reliability and energy efficiency issues in cloud computing systems.</span></span></font></div><div class=""><span style="color: rgb(102, 102, 102); background-color: white; font-size: 14px;" class=""><font face="Helvetica" class=""><br class=""></font></span></div><div class=""><font face="Helvetica" class=""><span style="font-size: 14px;" class=""><br class=""></span></font></div><div class="" style="font-family: HelveticaNeue;"><br class=""></div></div></body></html>