Enhanced Selective Fault-Tolerant Task Clustering Method using Database

Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12323/3430

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DC Field	Value	Language
dc.contributor.author	Khudaverdiyeva, Zahra	-
dc.date.accessioned	2016-10-04T06:44:08Z	-
dc.date.available	2016-10-04T06:44:08Z	-
dc.date.issued	2016	-
dc.identifier.uri	http://hdl.handle.net/20.500.12323/3430	-
dc.description.abstract	This dissertation provides broad detail about new “Enhanced Selective Fault-Tolerance Task Clustering Method using Database” in which was written in Java. In this approach, we can achieve not just only improvement of system performance also we will get dynamic, stable system for researching of failures, decreasing cost and waste of resources.	en
dc.language.iso	en	en
dc.title	Enhanced Selective Fault-Tolerant Task Clustering Method using Database	en
dc.type	Thesis	en
Appears in Collections:	Thesis

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