NDLI: Modeling and Analysis of Availability in Multi-Tenant SaaS

Content Provider	IEEE Xplore Digital Library
Author	Wenbo Su Qu Liu Chuang Lin Shen, S.
Copyright Year	2015
Description	Author affiliation: Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Wenbo Su; Qu Liu; Chuang Lin) \|\| Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada (Shen, S.)
Abstract	Software as a Service (SaaS) has become an important application development and service delivery model. Among different architectures, multi-tenant architecture (MTA) not only has advantage on maintenance, but also increases resource utilization by sharing instances. However, sharing instances brings challenges to the security of the service. As one of the three principal properties of the security, availability receives more and more attentions. Recently, there are extensive efforts on technical methods to implement a secure multi-tenant SaaS, but few works on the modeling and analysis of its availability. In this paper, we firstly present the availability issues of the multi-tenant SaaS. Two important mechanisms to implement the MTA SaaS are then introduced: network isolation and database sharing. After that, a stochastic Petri net (SPN) model is developed to analyze the availability. Specific metrics are proposed to measure the availability both from the aspects of the system and the tenant. To extend the SPN model for large scale analysis, we solve the state space explosion problem of SPN model based on the theory of Markov chain aggregation. Finally, numerical results are provided to demonstrate the effectiveness of the SPN model and the analysis is efficient.
Starting Page	1
Ending Page	8
File Size	817591
Page Count	8
File Format	PDF
e-ISBN	9781479999644
DOI	10.1109/ICCCN.2015.7288430
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Analytical models Software as a service Steady-state Security Numerical models
Content Type	Text
Resource Type	Article

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