|Dürr, Frank: Improving the Efficiency of Cloud Infrastructures with Elastic Tandem Machines. |
In: Proceedings of the 6th International Conference on Cloud Computing (Cloud 2013).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-8, englisch.
Santa Clara, CA, USA: IEEE Computer Society, 27. Juni 2013.
Artikel in Tagungsband (Konferenz-Beitrag).
|CR-Klassif.||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.
|PDF (1034622 Bytes)|
|Copyright||© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
|Abteilung(en)||Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme|
|Eingabedatum||8. Mai 2013|