Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net

Yuichi Yagawa, Atsushi Sutoh, Evgeny Malamura, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Cloud storage becomes popular, but low data-access performance through WANs (wide area networks) is becoming an issue. A cloud-storage cache, called "cloud on-ramp" (CoR), located at remote offices and connected to the cloud storage at a data center is proposed. Users access the CoR, which stores frequently accessed data as a cache, through a LAN (local area network). In this way, the CoR can improve access performance in case of cache hits, however, delays due to cache misses are a challenge because the data need to be transferred through a WAN. Accordingly, to ensure that applications have reliable access to data (even in the case of a cache miss), a recall method called "partial recall" is proposed. The method is formulated by utilizing a stochastic Petri-net model, and its data access performance improvement is evaluated in comparison with a conventional method through Petri-net simulation.

Original languageEnglish
Title of host publicationProceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages995-1000
Number of pages6
ISBN (Electronic)9781467389853
DOIs
Publication statusPublished - 2016 Aug 31
Event5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 - Kumamoto, Japan
Duration: 2016 Jul 102016 Jul 14

Other

Other5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016
CountryJapan
CityKumamoto
Period16/7/1016/7/14

Fingerprint

Wide area networks
Petri nets
Local area networks

Keywords

  • Cloud on-Ramp (CoR)
  • Cloud Storage
  • Cloud-storage Cache
  • Partial Recall
  • Stochastic Petri Net

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

Cite this

Yagawa, Y., Sutoh, A., Malamura, E., & Murata, T. (2016). Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016 (pp. 995-1000). [7557758] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IIAI-AAI.2016.181

Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net. / Yagawa, Yuichi; Sutoh, Atsushi; Malamura, Evgeny; Murata, Tomohiro.

Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 995-1000 7557758.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yagawa, Y, Sutoh, A, Malamura, E & Murata, T 2016, Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net. in Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016., 7557758, Institute of Electrical and Electronics Engineers Inc., pp. 995-1000, 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016, Kumamoto, Japan, 16/7/10. https://doi.org/10.1109/IIAI-AAI.2016.181
Yagawa Y, Sutoh A, Malamura E, Murata T. Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net. In Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 995-1000. 7557758 https://doi.org/10.1109/IIAI-AAI.2016.181
Yagawa, Yuichi ; Sutoh, Atsushi ; Malamura, Evgeny ; Murata, Tomohiro. / Modeling and performance evaluation of cloud on-ramp by utilizing a stochastic petri-net. Proceedings - 2016 5th IIAI International Congress on Advanced Applied Informatics, IIAI-AAI 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 995-1000
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