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Towards an autonomic performance management approach for a cloud broker environment using a decomposition-coordination based methodology.

, , , and . Future Gener. Comput. Syst., (2016)

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Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network., , , , and . ISPDC, page 3-10. IEEE, (2013)A Combined Dual-stage Framework for Robust Scheduling of Scientific Applications in Heterogeneous Environments with Uncertain Availability., , , , , and . IPDPS Workshops, page 193-207. IEEE Computer Society, (2012)Assessing the Integration of Parallel and Distributed Computing in Early Undergraduate Computer Science Curriculum using Unplugged Activities., , , and . EduHPC@SC, page 17-24. IEEE, (2019)PEPA Based Performance Modeling for Robust Resource Allocations Amid Varying Processor Availability., and . ISPDC, page 61-68. IEEE, (2018)Addressing the Robustness of Resource Allocation in the Presence of Application and System Irregularities via PEPA Based Modeling., , and . ICCS (2), volume 12138 of Lecture Notes in Computer Science, page 590-603. Springer, (2020)Analyzing the Robustness of Dynamic Loop Scheduling for Heterogeneous Computing Systems., , , and . ISPDC, page 156-163. IEEE Computer Society, (2012)Portfolio-Based Selection of Robust Dynamic Loop Scheduling Algorithms Using Machine Learning., , , , and . IPDPS Workshops, page 1638-1647. IEEE Computer Society, (2014)A Utility Based Power-Aware Autonomic Approach for Running Scientific Applications., , and . IPDPS Workshops, page 1457-1466. IEEE Computer Society, (2012)Robust resource allocations through performance modeling with stochastic process algebra., and . Concurr. Comput. Pract. Exp., (2017)Robustness Analysis of Scaled Resource Allocation Models Using the Imperial PEPA Compiler., , and . ISPDC, page 60-67. IEEE, (2020)