Comparative Analysis of Cloudlet Completion Time in Time and Space Shared Allocation Policies During Attack on Smart Grid Cloud

Mehmi, Sandeep; Verma, Harsh Kumar; Sangal, Amrit Lal

doi:10.1016/j.procs.2016.08.067

Cited by 6 publications

(2 citation statements)

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“…In smart grid ecosystems, cloudlet is an evolving cloud computing infrastructure used to federate the associated processing of networking logics embedded in the edge and wireless cloud [2], [8]. Its performance is mainly affected by communication and processing factors.…”

Section: Related Workmentioning

confidence: 99%

Communication Requirements and Deployment Challenges of Cloudlets in Smart Grid

Ugwuanyi

Hansawangkit

Khan

et al. 2022

2022 International Conference on Smart Applications, Communications and Networking (SmartNets)

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Intelligent and distributed power networks are becoming more complex with the addition of cloudlets infrastructure. This paper is the initial output of a Low Latency Edge Containerisation and Virtualisation project at PNDC. This project investigates the performance and communication requirements of deploying edge computing devices to enable low-latency applications. The edge network illustrates how additional intelligent network resources can help realise betterdistributed automation and remote configuration in smart grids. With cloudlets, the performance of smart grid networks will be enhanced in terms of low latency, higher bandwidth, and other network requirements. This paper presents cloudlets technology's current state of the art, including network design requirements, implementation techniques, and integration challenges with the legacy power networks. It also explored the main challenges of processing smart grid data by constrained IoT devices. The feasibility of using edge containers to provide low latency communication to several critical end applications in the smart grid could improve the performance of the networks. Furthermore, the key use cases of cloudlets in critical end applications for power utility networks were identified

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Section: Related Workmentioning

confidence: 99%

Communication Requirements and Deployment Challenges of Cloudlets in Smart Grid

Ugwuanyi

Hansawangkit

Khan

et al. 2022

2022 International Conference on Smart Applications, Communications and Networking (SmartNets)

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“…Well known fault-tolerant mechanisms that can handle failures are alternate resource, checkpointing, retry and replication [5]. Replication is the fundamental in facilitating fault tolerance in space and time shared fashion [17]. Further, estimating runtime of the task is a paramount in a distributed system that minimizes the schedule length to meet hard deadlines [7,23].…”

Section: Related Workmentioning

confidence: 99%

Cost and fault-tolerant aware resource management for scientific workflows using hybrid instances on clouds

Vinay

Kumar

Raghavendra

et al. 2017

Multimed Tools Appl

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Cloud service providers are offering computing resources at a reasonable price as a pay-per-use model. Further, cloud service providers have also introduced different pricing models like spot, blockspot and spotfleet instances that are cost effective and user's have to go through the bidding to balance the reliability and monetary costs. Henceforth, Scientific Workflows (SWf) that are used to model applications of high throughput, computation and complex large-scale data analysis are significantly adopting these computing resources. Nevertheless, spot instances are terminated when the market spot price exceeds the users bid price. Moreover, failures are inevitable in such a large distributed systems and often pose a challenge to design a fault-tolerant scheduling algorithm for SWf. This paper presents an efficient, low-cost and fault-tolerant scheduling algorithm and a bidding strategy to minimize the volatility and cost of resource provisioning for SWf. The proposed algorithm uses spot and blockspot instances as hybrid instances in comparison with on-demand instance to reduce the execution cost and fault-tolerant while meeting the SWf deadline. The results obtained reveal the promising potential of the proposed scheduling algorithm and are demonstrated through empirical simulation study that is robust under short deadlines with minimal makespan and cost.Vinay K.

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