|Mega, Cataldo; Waizenegger, Tim; Lebutsch, David; Schleipen, Stefan; Barney, J.M.: Dynamic cloud service topology adaption for minimizing resources while meeting performance goals. |
In: IBM Journal of Research and Development. Vol. 58(2).
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 1-10, englisch.
IBM, März 2014.
DOI: 10.1147/JRD.2014.2304771; ISSN: 0018-8646.
Artikel in Zeitschrift.
|CR-Klassif.||H.2 (Database Management)|
H.3 (Information Storage and Retrieval)
D.4.8 (Operating Systems Performance)
|Keywords||Cloud computing; Electronic countermeasures; Network topology; Optimization; Resource management; Service agreements; Time measurement|
Even in the cloud computing era, meeting service-level agreements (SLAs) of a computing service or application while significantly reducing the total cost of ownership (TCO) remains a challenge. Cloud and software defined environments (SDEs) are offering new opportunities for how resources can be utilized to an even higher degree than beforeâ€”which leads to a reduced TCO for service providers and customers of a service. The traditional method of meeting an SLA is to assess peak workloads and size a system accordingly. This still leads to very low average compute resource utilization rates. This paper presents a novel dynamic and cost-efficient orchestration approach of multi-tenant capable, software defined system topologies based on a monitor-analyze-plan-execute (MAPE) concept. We present the mechanism involved in creating and applying these heuristics and show the results for a cloud-based enterprise content management (ECM) solution. Our approach allows the cloud provider to minimize its resource requirements while staying in compliance with SLAs.
|Abteilung(en)||Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware|
|Eingabedatum||5. Mai 2014|