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.
Files	Filename       Size       Approximate Download Time (Hours:Minutes:Seconds)     28.8 Modem   56K Modem   ISDN (64 Kb)   ISDN (128 Kb)   Higher-speed Access  LD5655.V855_1989.D353.pdf 4.67 Mb 00:21:37 00:11:07 00:09:43 00:04:51 00:00:24 next to an author's name indicates that all files or directories associated with their ETD are accessible from the Virginia Tech campus network only.

If you have questions or technical problems, please Contact DLA.