Title
Error detection and error classification: failure awareness in data transfer scheduling
Abstract
Data transfer in distributed environment is prone to frequent failures resulting from back-end system level problems, like connectivity failure which is technically untraceable by users. Error messages are not logged efficiently, and sometimes are not relevant/useful from users' point-of-view. Our study explores the possibility of efficient error detection and reporting system for such environments. Prior knowledge about the environment and awareness of the actual reason behind a failure would enable higher level planners to make better and accurate decisions. It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems. We investigate the applicability of early error detection and error classification techniques and propose an error reporting framework and a failure-aware data transfer life cycle to improve arrangement of data transfer operations and to enhance decision making of data transfer schedulers.
Year
DOI
Venue
2010
10.1504/IJAC.2010.037516
Int. J. Auton. Comp.
Keywords
Field
DocType
error classification technique,error message,data management system,early error detection,data transfer schedulers,failure-aware data transfer life,data transfer operation,data transfer scheduling,error detection,failure awareness,data transfer,efficient error detection
Serviceability (structure),Distributed Computing Environment,Data transmission,Computer science,Scheduling (computing),Usability,Error detection and correction,Data management,Distributed computing,System level
Journal
Volume
Issue
Citations 
1
4
0
PageRank 
References 
Authors
0.34
13
2
Name
Order
Citations
PageRank
Mehmet Balman114410.73
Kosar, Tevfik261448.67