Latency Critical Data Processing in Cloud for Smart Grid Applications

Imtiaz Parvez; Anam Ahmed; Shamini Dharmasena; Shahid Tufail; Aditya Sundararajan

doi:10.1007/978-3-030-73103-8_47

Latency Critical Data Processing in Cloud for Smart Grid Applications

Imtiaz Parvez, Anam Ahmed, Shamini Dharmasena, Shahid Tufail, Aditya Sundararajan

Grid Systems Architecture

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

For the harmonious operation among various entities, smart grid requires sharing and processing a huge amount of data and information. In the regard, cloud computing can provide the leverage of storage, processing and management of data using a shared pool of configurable resources over the Internet. In some cases of control and monitoring, low latency data processing is mandatory. To address this, we propose two types of priority data processing in the cloud for the smart grid applications. In the first type of data processing called preemptive priority, the priority data is processed ceasing the processing of an on-going general packet. On the other hand, in the second type called as non-preemptive priority, the priority packet is processed after the execution of an ongoing general packet. The general packets are processed on first come first served. In this paper, we evaluate the performance of the two data processing methods in the scenario of a smart grid. Based on the results, preemptive data processing is recommended for extreme latency critical data while non-preemptive is suitable for latency critical data.

Original language	English
Title of host publication	Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
Editors	Kohei Arai
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	663-676
Number of pages	14
ISBN (Print)	9783030731021
DOIs	https://doi.org/10.1007/978-3-030-73103-8_47
State	Published - 2021
Event	Future of Information and Communication Conference, FICC 2021 - Virtual, Online Duration: Apr 29 2021 → Apr 30 2021

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1364 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Future of Information and Communication Conference, FICC 2021
City	Virtual, Online
Period	04/29/21 → 04/30/21

Funding

The work is an outcome of the research supported by the U.S. National Science Foundation under the grant CMMI-1745829 and CAREER-1553494.

Keywords

Cloud Computing
Data processing
Low latency
Non-preemptive processing
Preemptive processing
Smartgrid

Access to Document

10.1007/978-3-030-73103-8_47

Cite this

Parvez, I., Ahmed, A., Dharmasena, S., Tufail, S., & Sundararajan, A. (2021). Latency Critical Data Processing in Cloud for Smart Grid Applications. In K. Arai (Ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC (pp. 663-676). (Advances in Intelligent Systems and Computing; Vol. 1364 AISC). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-73103-8_47

Parvez, Imtiaz ; Ahmed, Anam ; Dharmasena, Shamini et al. / Latency Critical Data Processing in Cloud for Smart Grid Applications. Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. editor / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2021. pp. 663-676 (Advances in Intelligent Systems and Computing).

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abstract = "For the harmonious operation among various entities, smart grid requires sharing and processing a huge amount of data and information. In the regard, cloud computing can provide the leverage of storage, processing and management of data using a shared pool of configurable resources over the Internet. In some cases of control and monitoring, low latency data processing is mandatory. To address this, we propose two types of priority data processing in the cloud for the smart grid applications. In the first type of data processing called preemptive priority, the priority data is processed ceasing the processing of an on-going general packet. On the other hand, in the second type called as non-preemptive priority, the priority packet is processed after the execution of an ongoing general packet. The general packets are processed on first come first served. In this paper, we evaluate the performance of the two data processing methods in the scenario of a smart grid. Based on the results, preemptive data processing is recommended for extreme latency critical data while non-preemptive is suitable for latency critical data.",

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author = "Imtiaz Parvez and Anam Ahmed and Shamini Dharmasena and Shahid Tufail and Aditya Sundararajan",

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Parvez, I, Ahmed, A, Dharmasena, S, Tufail, S & Sundararajan, A 2021, Latency Critical Data Processing in Cloud for Smart Grid Applications. in K Arai (ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Advances in Intelligent Systems and Computing, vol. 1364 AISC, Springer Science and Business Media Deutschland GmbH, pp. 663-676, Future of Information and Communication Conference, FICC 2021, Virtual, Online, 04/29/21. https://doi.org/10.1007/978-3-030-73103-8_47

Latency Critical Data Processing in Cloud for Smart Grid Applications. / Parvez, Imtiaz; Ahmed, Anam; Dharmasena, Shamini et al.
Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. ed. / Kohei Arai. Springer Science and Business Media Deutschland GmbH, 2021. p. 663-676 (Advances in Intelligent Systems and Computing; Vol. 1364 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Ahmed, Anam

AU - Dharmasena, Shamini

AU - Tufail, Shahid

AU - Sundararajan, Aditya

PY - 2021

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N2 - For the harmonious operation among various entities, smart grid requires sharing and processing a huge amount of data and information. In the regard, cloud computing can provide the leverage of storage, processing and management of data using a shared pool of configurable resources over the Internet. In some cases of control and monitoring, low latency data processing is mandatory. To address this, we propose two types of priority data processing in the cloud for the smart grid applications. In the first type of data processing called preemptive priority, the priority data is processed ceasing the processing of an on-going general packet. On the other hand, in the second type called as non-preemptive priority, the priority packet is processed after the execution of an ongoing general packet. The general packets are processed on first come first served. In this paper, we evaluate the performance of the two data processing methods in the scenario of a smart grid. Based on the results, preemptive data processing is recommended for extreme latency critical data while non-preemptive is suitable for latency critical data.

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Parvez I, Ahmed A, Dharmasena S, Tufail S, Sundararajan A. Latency Critical Data Processing in Cloud for Smart Grid Applications. In Arai K, editor, Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Springer Science and Business Media Deutschland GmbH. 2021. p. 663-676. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-73103-8_47

Latency Critical Data Processing in Cloud for Smart Grid Applications

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