An approach for bursty and self-similar workload generation

Xingjian Lu; Jianwei Yin; Hanwei Chen; Xinkui Zhao

doi:10.1007/978-3-642-41154-0_26

An approach for bursty and self-similar workload generation

Xingjian Lu
, Jianwei Yin
, Hanwei Chen
, Xinkui Zhao

Zhejiang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

As two of the most important characteristics of Web systems' workloads, burstiness and self-similarity are gaining more and more attentions. And synthetically generating bursty and self-similar workloads is a key technique for Web system performance analysis. In this paper, a configurable synthetic approach for bursty and self-similar workload generation has been proposed based on a superposition of 2-state Markovian arrival processes (MAP2). This method can generate workload with both specified intension of burstiness and self-similarity. The detailed evaluation show the accuracy and robustness of our method.

Original language	English
Title of host publication	Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings
Pages	347-360
Number of pages	14
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-41154-0_26
State	Published - 2013
Externally published	Yes
Event	14th International Conference on Web Information Systems Engineering, WISE 2013 - Nanjing, China Duration: 13 Oct 2013 → 15 Oct 2013

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	8181 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Web Information Systems Engineering, WISE 2013
Country/Territory	China
City	Nanjing
Period	13/10/13 → 15/10/13

Keywords

Burstiness
Markovian
Self-similarity
Workload Generation

Access to Document

10.1007/978-3-642-41154-0_26

Cite this

Lu, X., Yin, J., Chen, H., & Zhao, X. (2013). An approach for bursty and self-similar workload generation. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings (PART 2 ed., pp. 347-360). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8181 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-41154-0_26

Lu, Xingjian ; Yin, Jianwei ; Chen, Hanwei et al. / An approach for bursty and self-similar workload generation. Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2. ed. 2013. pp. 347-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{9ab18009dc0f4822943c8496fac96697,

title = "An approach for bursty and self-similar workload generation",

abstract = "As two of the most important characteristics of Web systems' workloads, burstiness and self-similarity are gaining more and more attentions. And synthetically generating bursty and self-similar workloads is a key technique for Web system performance analysis. In this paper, a configurable synthetic approach for bursty and self-similar workload generation has been proposed based on a superposition of 2-state Markovian arrival processes (MAP2). This method can generate workload with both specified intension of burstiness and self-similarity. The detailed evaluation show the accuracy and robustness of our method.",

keywords = "Burstiness, Markovian, Self-similarity, Workload Generation",

author = "Xingjian Lu and Jianwei Yin and Hanwei Chen and Xinkui Zhao",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Lu, X, Yin, J, Chen, H & Zhao, X 2013, An approach for bursty and self-similar workload generation. in Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 8181 LNCS, pp. 347-360, 14th International Conference on Web Information Systems Engineering, WISE 2013, Nanjing, China, 13/10/13. https://doi.org/10.1007/978-3-642-41154-0_26

An approach for bursty and self-similar workload generation. / Lu, Xingjian; Yin, Jianwei; Chen, Hanwei et al.
Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2. ed. 2013. p. 347-360 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8181 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - As two of the most important characteristics of Web systems' workloads, burstiness and self-similarity are gaining more and more attentions. And synthetically generating bursty and self-similar workloads is a key technique for Web system performance analysis. In this paper, a configurable synthetic approach for bursty and self-similar workload generation has been proposed based on a superposition of 2-state Markovian arrival processes (MAP2). This method can generate workload with both specified intension of burstiness and self-similarity. The detailed evaluation show the accuracy and robustness of our method.

AB - As two of the most important characteristics of Web systems' workloads, burstiness and self-similarity are gaining more and more attentions. And synthetically generating bursty and self-similar workloads is a key technique for Web system performance analysis. In this paper, a configurable synthetic approach for bursty and self-similar workload generation has been proposed based on a superposition of 2-state Markovian arrival processes (MAP2). This method can generate workload with both specified intension of burstiness and self-similarity. The detailed evaluation show the accuracy and robustness of our method.

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KW - Markovian

KW - Self-similarity

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Lu X, Yin J, Chen H, Zhao X. An approach for bursty and self-similar workload generation. In Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 ed. 2013. p. 347-360. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-41154-0_26

An approach for bursty and self-similar workload generation

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