Availability modeling and analysis of a virtualized system using stochastic reward nets

Dong Seong Kim, Jin B. Hong, Tuan Anh Nguyen, Fumio Machida, Jong Sou Park, Kishor S. Trivedi

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)

Abstract

Availability is one of the key requirements for modern networked system. Availability of a virtualized system can be modelled and analyzed using stochastic models. In our previous work, availability of a virtualized system was modeled using a hierarchical model to incorporate the detailed behavior of virtual machines (VMs)' failure and recovery with respect to the system behavior. In particular, a truncated continuous time Markov chain model was used for VM mode. In this paper, we propose to construct a stochastic reward nets (SRN) to model and analyze the availability of a virtualized system. Further, we study the effect on the availability when restrictions on the guard functions are relaxed. We use a virtualized data center (VDC) using three hosts with a multiple number of VMs on each hosting servers, and we incorporate (i) failure and recovery of hosting servers and VMs, (ii) VM high availability (HA) and (iii) VM live migration (LM). The VDCs with/without using VM HA and LM are compared in terms of capacity oriented availability (i.e., number of available VMs).

Original languageEnglish
Title of host publicationProceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016
Place of PublicationFiji
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages210-218
Number of pages9
ISBN (Electronic)9781509043149
ISBN (Print)9781509043156
DOIs
Publication statusPublished - 10 Mar 2017
Externally publishedYes
Event16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji
Duration: 7 Dec 201610 Dec 2016

Conference

Conference16th IEEE International Conference on Computer and Information Technology, CIT 2016
CountryFiji
CityNadi
Period7/12/1610/12/16

Fingerprint

Availability
Servers
Recovery
Virtual machine
Stochastic models
Markov processes

Cite this

Kim, D. S., Hong, J. B., Nguyen, T. A., Machida, F., Park, J. S., & Trivedi, K. S. (2017). Availability modeling and analysis of a virtualized system using stochastic reward nets. In Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016 (pp. 210-218). [7876340] Fiji: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CIT.2016.97
Kim, Dong Seong ; Hong, Jin B. ; Nguyen, Tuan Anh ; Machida, Fumio ; Park, Jong Sou ; Trivedi, Kishor S. / Availability modeling and analysis of a virtualized system using stochastic reward nets. Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Fiji : IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 210-218
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abstract = "Availability is one of the key requirements for modern networked system. Availability of a virtualized system can be modelled and analyzed using stochastic models. In our previous work, availability of a virtualized system was modeled using a hierarchical model to incorporate the detailed behavior of virtual machines (VMs)' failure and recovery with respect to the system behavior. In particular, a truncated continuous time Markov chain model was used for VM mode. In this paper, we propose to construct a stochastic reward nets (SRN) to model and analyze the availability of a virtualized system. Further, we study the effect on the availability when restrictions on the guard functions are relaxed. We use a virtualized data center (VDC) using three hosts with a multiple number of VMs on each hosting servers, and we incorporate (i) failure and recovery of hosting servers and VMs, (ii) VM high availability (HA) and (iii) VM live migration (LM). The VDCs with/without using VM HA and LM are compared in terms of capacity oriented availability (i.e., number of available VMs).",
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Kim, DS, Hong, JB, Nguyen, TA, Machida, F, Park, JS & Trivedi, KS 2017, Availability modeling and analysis of a virtualized system using stochastic reward nets. in Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016., 7876340, IEEE, Institute of Electrical and Electronics Engineers, Fiji, pp. 210-218, 16th IEEE International Conference on Computer and Information Technology, CIT 2016, Nadi, Fiji, 7/12/16. https://doi.org/10.1109/CIT.2016.97

Availability modeling and analysis of a virtualized system using stochastic reward nets. / Kim, Dong Seong; Hong, Jin B.; Nguyen, Tuan Anh; Machida, Fumio; Park, Jong Sou; Trivedi, Kishor S.

Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Fiji : IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 210-218 7876340.

Research output: Chapter in Book/Conference paperConference paper

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AU - Machida, Fumio

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AU - Trivedi, Kishor S.

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N2 - Availability is one of the key requirements for modern networked system. Availability of a virtualized system can be modelled and analyzed using stochastic models. In our previous work, availability of a virtualized system was modeled using a hierarchical model to incorporate the detailed behavior of virtual machines (VMs)' failure and recovery with respect to the system behavior. In particular, a truncated continuous time Markov chain model was used for VM mode. In this paper, we propose to construct a stochastic reward nets (SRN) to model and analyze the availability of a virtualized system. Further, we study the effect on the availability when restrictions on the guard functions are relaxed. We use a virtualized data center (VDC) using three hosts with a multiple number of VMs on each hosting servers, and we incorporate (i) failure and recovery of hosting servers and VMs, (ii) VM high availability (HA) and (iii) VM live migration (LM). The VDCs with/without using VM HA and LM are compared in terms of capacity oriented availability (i.e., number of available VMs).

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PB - IEEE, Institute of Electrical and Electronics Engineers

CY - Fiji

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Kim DS, Hong JB, Nguyen TA, Machida F, Park JS, Trivedi KS. Availability modeling and analysis of a virtualized system using stochastic reward nets. In Proceedings - 2016 16th IEEE International Conference on Computer and Information Technology, CIT 2016, 2016 6th International Symposium on Cloud and Service Computing, IEEE SC2 2016 and 2016 International Symposium on Security and Privacy in Social Networks and Big Data, SocialSec 2016. Fiji: IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 210-218. 7876340 https://doi.org/10.1109/CIT.2016.97