A Deadlock Detection Algorithm Using Gossip in Cloud Computing Environments

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 214)

Abstract

To detection deadlock in distributed systems, the initiator should construct a global wait-for graph in an efficient way. In this paper, we present a deadlock detection algorithm using gossip for cloud computing environments where each node may leave and join at any time. Due to its inherit properties of a gossip protocol, we claim that our proposed deadlock detection algorithm is scalable and fault-tolerant. The amortized message complexity of our proposed algorithm is O(n), where n is the number of nodes. Our evaluation over scalable settings shows that our approach has a significant merit to solve scalability and fault-tolerance problems over existing algorithms.

Keywords

Deadlock detection Gossip algorithm Cloud computing 

Notes

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (No. 2012-0007429).

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  1. 1.Department of Computer Science EducationKorea UniversitySeoulKorea

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