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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Pereira, L.A. Mamani, E.L.C. Santana, M.J. Santana, R.H.C. Northon Nobile, P. Monaco, F.J. |
| Copyright Year | 2015 |
| Description | Author affiliation: Depto. de Sist. de Comput., Univ. de Sao Paulo, Sao Carlos, Brazil (Monaco, F.J.) || Depto. de Inf., Inst. Fed. de Sao Paulo, Sao Carlos / Araraquara, Brazil (Northon Nobile, P.) || Depto. de Sist. de Comput., Univ. de Sao Paulo, São Carlos, Brazil (Pereira, L.A.; Mamani, E.L.C.; Santana, M.J.; Santana, R.H.C.) |
| Abstract | This paper introduces an approach to the design of discrete event simulation experiments aimed at transient performance analysis. Specially in complex, multi-tier applications, the net effects of small delays introduced by buffers, IO operations, communication latency and averaged measurements, may result in significant inertia along the input-output path. In order to bring out these dynamic properties, the simulation experiment should excite the system with non-stationary workload under controlled conditions. The work discusses the dynamic properties of large-scale distributed computer systems and how these may impact delivered performance. These rationales are explored to motivate a concern-based architecture which captures the elicited requirements. The design approach is systematic formulated and illustrated by a case study on extending a well-known cloud computing simulation framework to meet the aimed features. Experimental results of ongoing work are also addressed. |
| Starting Page | 130 |
| Ending Page | 137 |
| File Size | 570156 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781467380119 |
| ISSN | 15506533 |
| DOI | 10.1109/SBAC-PAD.2015.9 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-10-17 |
| Publisher Place | Brazil |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computational modeling Computers Cloud computing Analytical models Transient analysis Mathematical model System performance Quality of Service Cloud Computing Performance Evaluation |
| Content Type | Text |
| Resource Type | Article |
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