Adaptive orchestration of resources in distributed wide area large scale infrastructures

dc.contributor.advisor Rivera-Gallego, Wilson Sanabria-Ordonez, John A. College of Engineering en_US
dc.contributor.committee Seguel, Jaime
dc.contributor.committee Rodriguez, Domingo
dc.contributor.committee Rodriguez, Manuel
dc.contributor.department Department of Electrical and Computer Engineering en_US
dc.contributor.representative Resto, Pedro 2019-02-12T15:30:47Z 2019-02-12T15:30:47Z 2009
dc.description.abstract The goal of this thesis is to take a step to understanding the resource management of massively and scattered distributed systems. A framework to predict grid resources behavior and leverage the execution of long running tasks over computational grids has been developed. This framework employs statistical analysis for estimating the resource behavior and uses a divisible load approach to increase the throughput and reduce the idle time exhibited by computational resources. The proposed approach focuses on an opportunistic pull resource selection mechanism: a number of very light agents are deployed in nonintrusive way running in a user space. Initially the framework collects information on user requirements and application deployment, assigns a subset of jobs to available resources, and periodically the selected pool of resources is updated to opportunistically choose the resources that better complete the assigned jobs. The statistical analysis process evaluates in run time different probabilistic functions to determine the one that better model a resource behavior. Experimental results show a significant reduction of the application makespan along with good estimations of the resource behavior. en_US
dc.description.graduationYear 2009 en_US
dc.description.sponsorship This work was partially supported by the NSF CISE-CNS Grant No. 0424546 under the WALSAIP (Wide Area Large Scale Automated Information Processing) Project. en_US
dc.language.iso English en_US
dc.rights.holder (c) 2009 John Alexander Sanabria Ordonez en_US
dc.rights.license All rights reserved en_US
dc.subject Resource orchestration en_US
dc.subject Adaptive orchestration en_US
dc.title Adaptive orchestration of resources in distributed wide area large scale infrastructures en_US
dc.type Dissertation en_US
dspace.entity.type Publication Computing and Information Sciences and Engineering en_US Ph.D. en_US
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