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 language | English |
|---|---|
| Title of host publication | 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 |
| Place of Publication | Fiji |
| Publisher | IEEE, Institute of Electrical and Electronics Engineers |
| Pages | 210-218 |
| Number of pages | 9 |
| ISBN (Electronic) | 9781509043149 |
| ISBN (Print) | 9781509043156 |
| DOIs | |
| Publication status | Published - 10 Mar 2017 |
| Externally published | Yes |
| Event | 16th IEEE International Conference on Computer and Information Technology, CIT 2016 - Nadi, Fiji Duration: 7 Dec 2016 → 10 Dec 2016 |
Conference
| Conference | 16th IEEE International Conference on Computer and Information Technology, CIT 2016 |
|---|---|
| Country | Fiji |
| City | Nadi |
| Period | 7/12/16 → 10/12/16 |
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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 paper › Conference paper
TY - GEN
T1 - Availability modeling and analysis of a virtualized system using stochastic reward nets
AU - Kim, Dong Seong
AU - Hong, Jin B.
AU - Nguyen, Tuan Anh
AU - Machida, Fumio
AU - Park, Jong Sou
AU - Trivedi, Kishor S.
PY - 2017/3/10
Y1 - 2017/3/10
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).
AB - 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).
KW - Availability
KW - Stochastic reward nets
KW - Virtual machines
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=85017366143&partnerID=8YFLogxK
U2 - 10.1109/CIT.2016.97
DO - 10.1109/CIT.2016.97
M3 - Conference paper
SN - 9781509043156
SP - 210
EP - 218
BT - 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
PB - IEEE, Institute of Electrical and Electronics Engineers
CY - Fiji
ER -