Multi-User Task Offloading to Heterogeneous Processors With Communication Delay and Budget Constraints

We study task scheduling and offloading in a cloud computing system with multiple users where tasks have different processing times, release times, communication times, and weights. Each user may schedule a task locally or offload it to a shared cloud with heterogeneous processors by paying a price...

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Veröffentlicht in:	IEEE transactions on cloud computing 2022-07, Vol.10 (3), p.1958-1974
Hauptverfasser:	Sundar, Sowndarya, Champati, Jaya Prakash, Liang, Ben
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation algorithms Budget constraint budget constraints Budget control Budget resolution Budgets Cloud computing Communication communication delay Communication delays Completion time Computation offloading Computational modeling Computational offloading Constant factor approximation Heterogeneous processors Integer solutions multi-user systems Multitasking NP-hard Processor scheduling Processors Program processors Rounding Scalable algorithms Sequence-dependent Servers Task analysis Task scheduling User satisfaction weighted sum completion time
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