Title page for ETD etd-06102012-040450


Type of Document Master's Thesis
Author Daniel, Pamela Dorr Fuller
URN etd-06102012-040450
Title The impact of network characteristics on the selection of a deadlock detection algorithm for distributed databases
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Egyhazy, Csaba J. Committee Chair
Antoy, Sergio Committee Member
Haddad, Emile Committee Member
Keywords
  • Computer networks
Date of Defense 1989-05-05
Availability restricted
Abstract
Much attention has been focused on the problem of deadlock detection in distributed databases, resulting in the publication of numerous algorithms to accomplish this function. The algorithms published to date differ greatly in many respects: timing, location, information collection, and basic approach. The emphasis of this research has been on theory and proof of correctness, rather than on practical application.

Relatively few attempts have been made to implement the algorithms.

The impact of the characteristics of the underlying database management system,

transaction model, and communications network upon the effectiveness and performance

of the proposed deadlock detection algorithms has largely been ignored. It is the intent of this study to examine more closely the interaction between a deadlock detection algorithm and one aspect of the environment in which it is implemented: namely, the communications network.

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