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Future of Information and Communication Conference

FICC 2021: Advances in Information and Communication pp 663–676Cite as

Latency Critical Data Processing in Cloud for Smart Grid Applications

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1364))

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.

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

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Author information

Authors and Affiliations

  1. Florida International University, Miami, FL, USA

    Imtiaz Parvez, Shamini Dharmasena & Shahid Tufail

  2. University of Miami, Miami, FL, USA

    Anam Ahmed

  3. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Aditya Sundararajan

Authors
  1. Imtiaz Parvez
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  2. Anam Ahmed
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  3. Shamini Dharmasena
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  4. Shahid Tufail
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  5. Aditya Sundararajan
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Corresponding author

Correspondence to Imtiaz Parvez .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

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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: Arai, K. (eds) Advances in Information and Communication. FICC 2021. Advances in Intelligent Systems and Computing, vol 1364. Springer, Cham. https://doi.org/10.1007/978-3-030-73103-8_47

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