NDLI: Transient performance evaluation of cloud computing applications and dynamic resource control in large-scale distributed systems

Content Provider	IEEE Xplore Digital Library
Author	Mamani, E.L.C. Pereira, L.A. Santana, M.J. Santana, R.H.C. Nobile, P.N. Monaco, F.J.
Copyright Year	2015
Description	Author affiliation: Depto. de Sist. de Comput., Univ. de Sao Paulo, Sao Carlos, Brazil (Mamani, E.L.C.; Pereira, L.A.; Santana, M.J.; Santana, R.H.C.; Monaco, F.J.) \|\| Depto. de Inf., Inst. Fed. de Sao Paulo, Araraquara, Brazil (Nobile, P.N.)
Abstract	This paper discusses on non-stationary performance evaluation and dynamic modeling of cloud computing environments. In computer systems, dynamic effects results from the filling of buffers, event-handling delays, non-deterministic I/O response times, network latency, among other factors. While computer systems performance evaluation under stationary workloads have met the needs of many engineering problems, new challenges arise as the deployment of increasingly complex and large-scale distributed systems becomes commonplace. One key aspect of this discussion is that transient analysis models how the system reacts to changes in the workload and may reveal that the resources necessary to support a high steady-state workload may not be sufficient to handle a small, but sudden, workload change, even of intensity far smaller than that supported by the system's stationary capacity. This article elaborates on these issues under a control-theoretical approach.
Starting Page	246
Ending Page	253
File Size	926781
Page Count	8
File Format	PDF
ISBN	9781467378123
e-ISBN	9781467378130
DOI	10.1109/HPCSim.2015.7237046
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-20
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Quality of Service (QoS) Control Theory Cloud computing Cloud Computing Computational modeling Auto-scaling Steady-state Time factors Resource management Transient analysis
Content Type	Text
Resource Type	Article

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