PREDICTION OF DEADLOCKS IN CONCURRENT PROGRAMS USING NEURAL NETWORK

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HASANZAD ELMIRA; BABAMIR SEYED MORTEZA

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Journal: Journal of Information Systems and Telecommunication Year:2013 | Volume:1 | Issue:1 Page(s): 33-45

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Title

PREDICTION OF DEADLOCKS IN CONCURRENT PROGRAMS USING NEURAL NETWORK

Author(s)

HASANZAD ELMIRA | BABAMIR SEYED MORTEZA | Issue Writer Certificate

Keywords

DETECTING POTENTIAL DEADLOCKS

TIME SERIES PREDICTION

MULTITHREAD PROGRAMS

BEHAVIOR EXTRACTION

Abstract

The dependability of concurrent programs is usually limited by concurrency errors like deadlocks and data races in allocation of resources. Deadlocks are difficult to find during the program testing because they happen under very specific thread or process scheduling and environmental conditions. In this study, we extended our previous approach for online potential deadlock detection in resources allocated by MULTITHREAD PROGRAMS. Our approach is based on reasoning about deadlock possibility using the prediction of future behavior of threads. Due to the nondeterministic nature, future behavior of MULTITHREAD PROGRAMS, in most of cases, cannot be easily specified. Before the prediction, the behavior of threads should be translated into a predictable format. Time series is our choice to this conversion because many Statistical and Artificial Intelligence techniques can be developed to predict the future members of the time series. Among all the prediction techniques, artificial neural networks showed applicable performance and flexibility in predicting complex behavioral patterns which are the most usual cases in real world applications. Our model focuses on the MULTITHREAD PROGRAMS which use locks to allocate resources. The proposed model was used to deadlock prediction in resources allocated by multithread Java programs and the results were evaluated.

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APA: Copy

HASANZAD, ELMIRA, & BABAMIR, SEYED MORTEZA. (2013). PREDICTION OF DEADLOCKS IN CONCURRENT PROGRAMS USING NEURAL NETWORK. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), 1(1), 33-45. SID. https://sid.ir/paper/332607/en

Vancouver: Copy

HASANZAD ELMIRA, BABAMIR SEYED MORTEZA. PREDICTION OF DEADLOCKS IN CONCURRENT PROGRAMS USING NEURAL NETWORK. JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST)[Internet]. 2013;1(1):33-45. Available from: https://sid.ir/paper/332607/en

IEEE: Copy

ELMIRA HASANZAD, and SEYED MORTEZA BABAMIR, “PREDICTION OF DEADLOCKS IN CONCURRENT PROGRAMS USING NEURAL NETWORK,” JOURNAL OF INFORMATION SYSTEMS AND TELECOMMUNICATION (JIST), vol. 1, no. 1, pp. 33–45, 2013, [Online]. Available: https://sid.ir/paper/332607/en

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