Performance-aware cost-effective resource provisioning for future grid iot-cloud system

Journal article


Li, Weiling, Liao, Kewen, He, Qiang and Xia, Yunni. (2019). Performance-aware cost-effective resource provisioning for future grid iot-cloud system. Journal of Energy Engineering. 145(5), pp. 2-13. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000611
AuthorsLi, Weiling, Liao, Kewen, He, Qiang and Xia, Yunni
Abstract

The rise of the future grid (FG) largely depends on the efficient integration of Internet of Things (IoT) and Cloud computing technologies. By utilizing information and control flows, FG can deliver power more effectively and be capable to handle events occurring anywhere in the grid network. However, maintaining such functions consumes a great deal of computational resource which brings an enormous operational cost to the grid owner. In this paper, we propose an integrated task scheduling and resource provisioning model for dynamically operating an IoT-Cloud system to reduce the overall operational cost. Our proposed approach uses a bipartite graph to model the communication pattern between sensor groups and decentralized cloud data centers and a Pareto distribution-based method to estimate the required resources considering capacity limitation and failure of the system in each data center. We formulate the integrated model as a constraint optimization problem over all sensor groups and data centers. We solve the problem with genetic algorithms due to problem complexity, and our extensive computer simulations and comparisons demonstrate the correctness and effectiveness of the proposed model in minimizing operational cost while satisfying system performance requirements.

Keywordsmorphodynamics; bed slope; bedload; morphological diffusion
Year2019
JournalJournal of Energy Engineering
Journal citation145 (5), pp. 2-13
PublisherAmerican Society of Civil Engineers (ASCE)
ISSN0733-9402
Digital Object Identifier (DOI)https://doi.org/10.1061/(ASCE)EY.1943-7897.0000611
Scopus EID2-s2.0-85065984483
Research or scholarlyResearch
Page range2-13
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online15 Jul 2019
Publication process dates
Accepted11 Jan 2019
Deposited21 Dec 2021
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