Collaborative AI-enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks

dc.contributor.author Hazra, Abhishek
dc.contributor.author Adhikari, Mainak
dc.contributor.author Amgoth, Tarachand
dc.contributor.author Srirama, Satish Narayana
dc.date.accessioned 2022-03-27T06:03:29Z
dc.date.available 2022-03-27T06:03:29Z
dc.date.issued 2021-01-01
dc.description.abstract With the evolutionary development of the latency-sensitive Industrial Internet of Things (IIoT) applications, delay restriction becomes a critical challenge, which can be resolved by distributing IIoT applications on nearby fog devices. Besides that, efficient service provisioning and energy optimization are confronting serious challenges with the ongoing expansion of large-scale IIoT applications. However, due to insufficient resource availability, a single fog device cannot execute large-scale applications completely. In such a scenario, a partial service provisioning strategy provides a promising outcome to enable the services on multiple fog devices or collaboration with cloud servers. By motivating this scenario, in this paper, we introduce a new Deep Reinforcement Learning (DRL)-enabled partial service provisioning strategy in the green industrial fog networks. With this strategy, multiple fog devices share the excessive workload of an application among themselves. To reflect this, a task partitioning policy is introduced to partition the requested applications into a set of independent or interdependent tasks. Further, we develop an intelligent partial service provisioning strategy to utilize maximum fog resources in the network. Experimental results express the significance of the proposed strategy over the traditional baseline algorithms in terms of energy consumption and latency up to 25% and 16%, respectively.
dc.identifier.citation IEEE Internet of Things Journal
dc.identifier.uri 10.1109/JIOT.2021.3110910
dc.identifier.uri https://ieeexplore.ieee.org/document/9530591/
dc.identifier.uri https://dspace.uohyd.ac.in/handle/1/9223
dc.subject Cloud computing
dc.subject Delays
dc.subject DRL
dc.subject energy optimization
dc.subject IIoT application
dc.subject industrial fog networks
dc.subject Industrial Internet of Things
dc.subject latency.
dc.subject partial service provisioning
dc.subject Servers
dc.subject Standards
dc.subject Task analysis
dc.subject Uplink
dc.title Collaborative AI-enabled Intelligent Partial Service Provisioning in Green Industrial Fog Networks
dc.type Journal. Article
dspace.entity.type
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