Article in Journal ART-2014-04

BibliographyMega, 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).
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 1-10, english.
IBM, March 2014.
DOI: 10.1147/JRD.2014.2304771; ISSN: 0018-8646.
Article in Journal.
CR-SchemaH.2 (Database Management)
H.3 (Information Storage and Retrieval)
D.4.8 (Operating Systems Performance)
KeywordsCloud 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 before—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.
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Applications of Parallel and Distributed Systems
Entry dateMay 5, 2014
   Publ. Department   Publ. Institute   Publ. Computer Science