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Running industrial workflow applications in a software-defined multi-cloud environment using green energy aware scheduling algorithm

journal contribution
posted on 2023-05-20, 20:53 authored by Wen, Z, Saurabh GargSaurabh Garg, Aujla, GSS, Alwasel, K, Puthal, D, Dustdar, S, Zomaya, AY, Rajan, R
Industry 4.0 have automated the entire manufacturing sector (including technologies and processes) by adopting Internet of Things and Cloud computing. To handle the work-flows from Industrial Cyber-Physical systems, more and more data centers have been built across the globe to serve the growing needs of computing and storage. This has led to an enormous increase in energy usage by cloud data centers which is not only a financial burden but also increases their carbon footprint. The private Software Defined Wide Area network (SDWAN) connects a cloud provider's data centers across the planet. This gives the opportunity to develop new scheduling strategies to manage cloud providers workload in a more energy-efficient manner. In this context, this paper addresses the problem of scheduling data-driven industrial workflow applications over a set of private SDWAN connected data centers in an energy-efficient manner while managing trade-off of a cloud provider' revenue. Our proposed algorithm aims to minimize the cloud provider's revenue and the usage of non-renewable energy by utilizing the real-world electricity prices with the availability of green energy on different cloud data centers, where the energy consumption consists of the usage of running application over multiple data centers and transferring the data among them through SDWAN. The evaluation shows that our proposed method can increase usage of green energy for the execution of industrial workflow up to 3× times with a slight increase in the cost when compared to cost-based workflow scheduling methods.

History

Publication title

IEEE Transactions on Industrial Informatics

Pagination

1-11

ISSN

1941-0050

Department/School

School of Information and Communication Technology

Publisher

Institute of Electrical and Electronics Engineers

Place of publication

United States

Rights statement

Copyright 2020 IEEE

Repository Status

  • Restricted

Socio-economic Objectives

Computer systems