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Enterprise data center globality measurement
KTH, School of Electrical Engineering (EES), Communication Networks.
2015 (English)In: Proceedings - 15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, Institute of Electrical and Electronics Engineers (IEEE), 2015, 1861-1869 p.Conference paper (Refereed)Text
Abstract [en]

Measurement of the globality of On-Line Transaction Processing (OLTP) workloads in Enterprise Data Centers is considered. Providing OLTP workload isolation (application, services and databases) for performance-sensitive enterprise workloads, so that activity in one workload cannot interfere with another, remains a challenge. We demonstrate that traditional aggregate OLTP Workload globality measurement frameworks can generate mis-leading globality measures. We propose a higher-order globality measurement framework which addresses this problem. We derive two high dimensional structured measurement matrices, namely a template and measurand matrix, with special spectral properties, which account for globality measurement 1) boundedness; 2) programmability; 3) multiplicity; 4) relativity; 5) spatial correlation and 6) the appropriate sensitivity of the measure to changes in the distribution of the workload. We demonstrate that these properties are exhibited by the new measure by ordering OLTP workloads by their globality measure. We evaluate the measure using a stochastic layered block model for data center topology and OLTP workload generation and demonstrate that it is consistent.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 1861-1869 p.
Keyword [en]
Stochastic models, Stochastic systems, Topology, Ubiquitous computing, Enterprise data, High-dimensional, Online transaction processing, Programmability, Spatial correlations, Spectral properties, Workload generation, Workload isolation, Matrix algebra
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:kth:diva-186791DOI: 10.1109/CIT/IUCC/DASC/PICOM.2015.277ISI: 000380514500281ScopusID: 2-s2.0-84964284862ISBN: 9781509001545OAI: oai:DiVA.org:kth-186791DiVA: diva2:928960
Conference
15th IEEE International Conference on Computer and Information Technology, CIT 2015, 14th IEEE International Conference on Ubiquitous Computing and Communications, IUCC 2015, 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2015 and 13th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2015, 26 October 2015 through 28 October 2015
Note

QC 20160517

Available from: 2016-05-17 Created: 2016-05-13 Last updated: 2016-09-20Bibliographically approved

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