TY - GEN
T1 - Latency Critical Data Processing in Cloud for Smart Grid Applications
AU - Parvez, Imtiaz
AU - Ahmed, Anam
AU - Dharmasena, Shamini
AU - Tufail, Shahid
AU - Sundararajan, Aditya
N1 - Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
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.
AB - 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.
KW - Cloud Computing
KW - Data processing
KW - Low latency
KW - Non-preemptive processing
KW - Preemptive processing
KW - Smartgrid
UR - http://www.scopus.com/inward/record.url?scp=85105935030&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-73103-8_47
DO - 10.1007/978-3-030-73103-8_47
M3 - Conference contribution
AN - SCOPUS:85105935030
SN - 9783030731021
T3 - Advances in Intelligent Systems and Computing
SP - 663
EP - 676
BT - Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
A2 - Arai, Kohei
PB - Springer Science and Business Media Deutschland GmbH
T2 - Future of Information and Communication Conference, FICC 2021
Y2 - 29 April 2021 through 30 April 2021
ER -