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Modeling Image Processing Tasks As Flexible Workflows for Improved Quality of Service
Högskolan i Gävle, Institutionen för matematik, natur- och datavetenskap, Ämnesavdelningen för datavetenskap.
Högskolan i Gävle, Institutionen för matematik, natur- och datavetenskap, Ämnesavdelningen för datavetenskap.
2004 (engelsk)Inngår i: The IADIS Applied Computing / [ed] Nuno Guimarães and Pedro Isaías, 2004, s. 363-370Konferansepaper, Publicerat paper (Annet vitenskapelig)
Abstract [en]

Processing of nontrivial images is a difficult task performed throughout a set of ordered steps. Besides the basic functionality that a process must satisfy, quality of service goals are to be met. Images should be processed within a certain time and a certain quality should be attained. To manage image-processing tasks in the optimal way, the process goals must be defined explicitly and their fulfillment has be controlled. Modeling image-processing tasks with workflows would enable control of the fulfillment of goals. In addition, by introducing flexible semantics in the workflow, the process could be executed along optimal execution alternatives. In this paper, we propose an approach to model the class of image processing tasks with workflows that would, based on the extended semantics, allow for flexibility in the process execution toward optimal goals fulfillment.

sted, utgiver, år, opplag, sider
2004. s. 363-370
Identifikatorer
URN: urn:nbn:se:hig:diva-1049ISBN: 972-98947-3-6 (tryckt)OAI: oai:DiVA.org:hig-1049DiVA, id: diva2:117711
Konferanse
IADIS International Conference Applied Computing 2004, Lisbon, Portugal, 23-26 March 2004
Tilgjengelig fra: 2007-12-12 Laget: 2007-12-12 Sist oppdatert: 2018-03-13bibliografisk kontrollert

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Totalt: 196 treff
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