NDLI: Deadlock analysis of client/server programs

Content Provider	IEEE Xplore Digital Library
Author	Jun Zhou Kuo-Chung Tai
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA (Jun Zhou)
Abstract	Deadlocks are a common type of fault in distributed programs. To detect deadlocks in a distributed program P, one approach is to construct the reachability graph (RG) of P, which contains all possible states of P, and analyze the RG to detect deadlocks. Since the size of RG(P) is an exponential function of the number of processes in P, the use of RG for deadlock detection has limited success. In this paper, we show an efficient technique for deadlock analysis of client/server programs. We present a theory of deadlock analysis of client/server LTS systems, in which a server or client is represented as a labeled transition system (LTS). For a client/server LTS system, we define its client/server reachability graph (CSRG), which has its size being a polynomial function of the number of clients. We show that the use of CSRG not only significantly reduces the effort for deadlock analysis but also provides a basis for proving freedom from deadlock for any number of clients.
Starting Page	484
Ending Page	491
File Size	112907
Page Count	8
File Format	PDF
ISBN	0769506011
ISSN	10636927
DOI	10.1109/ICDCS.2000.840961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-04-10
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	System recovery Roentgenium Polynomials Computer science Testing Resumes Runtime Reachability analysis
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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