ºÝºÝߣshows by User: duerrfk / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: duerrfk / Mon, 30 Sep 2013 03:48:55 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: duerrfk Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines (IEEE Cloud 2013) /duerrfk/cloud2013 cloud2013-130930034855-phpapp02
The presentation of our full paper presented at IEEE Cloud 2013. Abstract: In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is always running to ensure the availability of the ETMI. When load rises, the ETMI scales up automatically by starting the high-power instance and handing over traffic to it. For the non-disruptive transition from low-power to high-power machines and vice versa, we present a handover mechanism based on software-defined networking technologies. Our evaluations show the applicability of low-power SoC machines to serve low load efficiently as well as the desired scalability properties of ETMIs.]]>

The presentation of our full paper presented at IEEE Cloud 2013. Abstract: In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is always running to ensure the availability of the ETMI. When load rises, the ETMI scales up automatically by starting the high-power instance and handing over traffic to it. For the non-disruptive transition from low-power to high-power machines and vice versa, we present a handover mechanism based on software-defined networking technologies. Our evaluations show the applicability of low-power SoC machines to serve low load efficiently as well as the desired scalability properties of ETMIs.]]>
Mon, 30 Sep 2013 03:48:55 GMT /duerrfk/cloud2013 duerrfk@slideshare.net(duerrfk) Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines (IEEE Cloud 2013) duerrfk The presentation of our full paper presented at IEEE Cloud 2013. Abstract: In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is always running to ensure the availability of the ETMI. When load rises, the ETMI scales up automatically by starting the high-power instance and handing over traffic to it. For the non-disruptive transition from low-power to high-power machines and vice versa, we present a handover mechanism based on software-defined networking technologies. Our evaluations show the applicability of low-power SoC machines to serve low load efficiently as well as the desired scalability properties of ETMIs. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cloud2013-130930034855-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The presentation of our full paper presented at IEEE Cloud 2013. Abstract: In this paper, we propose a concept for improving the energy efficiency and resource utilization of cloud infrastructures by combining the benefits of heterogeneous machine instances. The basic idea is to integrate low-power system on a chip (SoC) machines and high-power virtual machine instances into so-called Elastic Tandem Machine Instances (ETMI). The low-power machine serves low load and is always running to ensure the availability of the ETMI. When load rises, the ETMI scales up automatically by starting the high-power instance and handing over traffic to it. For the non-disruptive transition from low-power to high-power machines and vice versa, we present a handover mechanism based on software-defined networking technologies. Our evaluations show the applicability of low-power SoC machines to serve low load efficiently as well as the desired scalability properties of ETMIs.
Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines (IEEE Cloud 2013) from Frank D端rr
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https://cdn.slidesharecdn.com/profile-photo-duerrfk-48x48.jpg?cb=1529397907 Frank Dürr is a postdoctoral researcher and lecturer at the Institute of Parallel and Distributed Systems (IPVS) at University of Stuttgart. www.ipvs.uni-stuttgart.de/abteilungen/vs/abteilung/mitarbeiter/frank.duerr