|Bibliography||Dürr, Frank: Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines. |
In: Proceedings of the 6th International Conference on Cloud Computing (Cloud 2013).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-8, english.
Santa Clara, CA, USA: IEEE Computer Society, June 27, 2013.
Article in Proceedings (Conference Paper).
|CR-Schema||C.2.3 (Network Operations)|
C.2.4 (Distributed Systems)
C.2.1 (Network Architecture and Design)
C.4 (Performance of Systems)
C.5 (Computer System Implementation)
H.3.4 (Information Storage and Retrieval Systems and Software)
|Keywords||cloud computing; infrastructure as a service; efficiency; energy, elasticity; scaling; system on a chip; software-defined networking; green computing|
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.
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|Department(s)||University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems|
|Entry date||May 8, 2013|