Analyzing the IT subsystem failure impact on availability of cloud services

Guto Leoni Santos; Patricia Takako Endo; Glauco Goncalves; Daniel Rosendo; Demis Gomes; Judith Kelner; Djamel Sadok; Mozhgan Mahloo

doi:10.1109/ISCC.2017.8024612

Analyzing the IT subsystem failure impact on availability of cloud services

Guto Leoni Santos
, Patricia Takako Endo
, Glauco Goncalves
, Daniel Rosendo
, Demis Gomes
, Judith Kelner
, Djamel Sadok
, Mozhgan Mahloo

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

29 Scopus citations

Abstract

Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers and companies. Part of this costs is due to SLA breaches, once interruption time greater than those signed in the contract generate financial penalties. Thus, cloud providers have tried to identify failure points and estimate the availability of their services. This paper proposes models to assess the availability of services running in a cloud data center infrastructure. The models follow the TIA-942 standard. We propose Tier I and IV models using the Reliability Block Diagram (RBD) to allow modeling of different types of applications, and Stochastic Petri Net (SPN) to represent the failure behavior of information technology (IT) components in a data center. We perform stationary analysis to measure the service availability, and sensitivity analysis to understand which metrics have major impacts on data center availability.

Original language	English
Title of host publication	2017 IEEE Symposium on Computers and Communications, ISCC 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	717-723
Number of pages	7
ISBN (Electronic)	9781538616291
DOIs	https://doi.org/10.1109/ISCC.2017.8024612
State	Published - Sep 1 2017
Externally published	Yes
Event	2017 IEEE Symposium on Computers and Communications, ISCC 2017 - Heraklion, Greece Duration: Jul 3 2017 → Jul 7 2017

Publication series

Name	Proceedings - IEEE Symposium on Computers and Communications
ISSN (Print)	1530-1346

Conference

Conference	2017 IEEE Symposium on Computers and Communications, ISCC 2017
Country/Territory	Greece
City	Heraklion
Period	07/3/17 → 07/7/17

Funding

ACKNOWLEDGMENT This work was supported by the RLAM Innovation Center, Ericsson Telecomunicac¸ões S.A., Brazil. We would like to thank the design team of the Networking and Telecommunication Research Group (GPRT) for the support.

Access to Document

10.1109/ISCC.2017.8024612

Cite this

Santos, G. L., Endo, P. T., Goncalves, G., Rosendo, D., Gomes, D., Kelner, J., Sadok, D., & Mahloo, M. (2017). Analyzing the IT subsystem failure impact on availability of cloud services. In 2017 IEEE Symposium on Computers and Communications, ISCC 2017 (pp. 717-723). Article 8024612 (Proceedings - IEEE Symposium on Computers and Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISCC.2017.8024612

@inproceedings{7eaa44931d48408396ac5dff17c76d3f,

title = "Analyzing the IT subsystem failure impact on availability of cloud services",

abstract = "Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers and companies. Part of this costs is due to SLA breaches, once interruption time greater than those signed in the contract generate financial penalties. Thus, cloud providers have tried to identify failure points and estimate the availability of their services. This paper proposes models to assess the availability of services running in a cloud data center infrastructure. The models follow the TIA-942 standard. We propose Tier I and IV models using the Reliability Block Diagram (RBD) to allow modeling of different types of applications, and Stochastic Petri Net (SPN) to represent the failure behavior of information technology (IT) components in a data center. We perform stationary analysis to measure the service availability, and sensitivity analysis to understand which metrics have major impacts on data center availability.",

author = "Santos, \{Guto Leoni\} and Endo, \{Patricia Takako\} and Glauco Goncalves and Daniel Rosendo and Demis Gomes and Judith Kelner and Djamel Sadok and Mozhgan Mahloo",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Symposium on Computers and Communications, ISCC 2017 ; Conference date: 03-07-2017 Through 07-07-2017",

year = "2017",

month = sep,

day = "1",

doi = "10.1109/ISCC.2017.8024612",

language = "English",

series = "Proceedings - IEEE Symposium on Computers and Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "717--723",

booktitle = "2017 IEEE Symposium on Computers and Communications, ISCC 2017",

}

Santos, GL, Endo, PT, Goncalves, G, Rosendo, D, Gomes, D, Kelner, J, Sadok, D & Mahloo, M 2017, Analyzing the IT subsystem failure impact on availability of cloud services. in 2017 IEEE Symposium on Computers and Communications, ISCC 2017., 8024612, Proceedings - IEEE Symposium on Computers and Communications, Institute of Electrical and Electronics Engineers Inc., pp. 717-723, 2017 IEEE Symposium on Computers and Communications, ISCC 2017, Heraklion, Greece, 07/3/17. https://doi.org/10.1109/ISCC.2017.8024612

Analyzing the IT subsystem failure impact on availability of cloud services. / Santos, Guto Leoni; Endo, Patricia Takako; Goncalves, Glauco et al.
2017 IEEE Symposium on Computers and Communications, ISCC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 717-723 8024612 (Proceedings - IEEE Symposium on Computers and Communications).

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

TY - GEN

T1 - Analyzing the IT subsystem failure impact on availability of cloud services

AU - Santos, Guto Leoni

AU - Endo, Patricia Takako

AU - Goncalves, Glauco

AU - Rosendo, Daniel

AU - Gomes, Demis

AU - Kelner, Judith

AU - Sadok, Djamel

AU - Mahloo, Mozhgan

PY - 2017/9/1

Y1 - 2017/9/1

N2 - Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers and companies. Part of this costs is due to SLA breaches, once interruption time greater than those signed in the contract generate financial penalties. Thus, cloud providers have tried to identify failure points and estimate the availability of their services. This paper proposes models to assess the availability of services running in a cloud data center infrastructure. The models follow the TIA-942 standard. We propose Tier I and IV models using the Reliability Block Diagram (RBD) to allow modeling of different types of applications, and Stochastic Petri Net (SPN) to represent the failure behavior of information technology (IT) components in a data center. We perform stationary analysis to measure the service availability, and sensitivity analysis to understand which metrics have major impacts on data center availability.

AB - Cloud computing has gained popularity in recent years due to its pay-as-you-go business model, high availability of services, and scalability. Service unavailability does not affect just user experience but is also translated into direct costs for cloud providers and companies. Part of this costs is due to SLA breaches, once interruption time greater than those signed in the contract generate financial penalties. Thus, cloud providers have tried to identify failure points and estimate the availability of their services. This paper proposes models to assess the availability of services running in a cloud data center infrastructure. The models follow the TIA-942 standard. We propose Tier I and IV models using the Reliability Block Diagram (RBD) to allow modeling of different types of applications, and Stochastic Petri Net (SPN) to represent the failure behavior of information technology (IT) components in a data center. We perform stationary analysis to measure the service availability, and sensitivity analysis to understand which metrics have major impacts on data center availability.

UR - https://www.scopus.com/pages/publications/85030560632

U2 - 10.1109/ISCC.2017.8024612

DO - 10.1109/ISCC.2017.8024612

M3 - Conference contribution

AN - SCOPUS:85030560632

T3 - Proceedings - IEEE Symposium on Computers and Communications

SP - 717

EP - 723

BT - 2017 IEEE Symposium on Computers and Communications, ISCC 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE Symposium on Computers and Communications, ISCC 2017

Y2 - 3 July 2017 through 7 July 2017

ER -

Santos GL, Endo PT, Goncalves G, Rosendo D, Gomes D, Kelner J et al. Analyzing the IT subsystem failure impact on availability of cloud services. In 2017 IEEE Symposium on Computers and Communications, ISCC 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 717-723. 8024612. (Proceedings - IEEE Symposium on Computers and Communications). doi: 10.1109/ISCC.2017.8024612

Analyzing the IT subsystem failure impact on availability of cloud services

Abstract

Publication series

Conference

Funding

Access to Document

Other files and links

Fingerprint

Cite this