Theoretical Analysis of an Adaptive Periodic Multi Installment Scheduling With Result Retrieval for SAR Image Processing

Processing a large-scale Synthetic Aperture Radar (SAR) image dataset on a distributed computing infrastructure poses a challenging problem. Large-scale load distribution strategies like multi-installment scheduling (MIS) assume that the size of the result is negligible compared to the input workloa...

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Vydáno v:	IEEE transactions on parallel and distributed systems Ročník 33; číslo 12; s. 4672 - 4683
Hlavní autoři:	Chinnappan, Gokul Madathupalyam, Veeravalli, Bharadwaj
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.12.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Completion time Computational modeling Computer networks Data processing Datasets Distributed databases Distributed processing front-end processors heterogeneous cluster Image processing load distribution Load modeling multi-installment scheduling Numerical methods Particle swarm optimization Processor scheduling Program processors Radar imaging Radar polarimetry Retrieval Run time (computers) SAR image Schedules Scheduling Synthetic aperture radar Topology Virtual environments
ISSN:	1045-9219, 1558-2183
On-line přístup:	Získat plný text
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