A performance-aware dynamic scheduling algorithm for cloud-based IoT applications

Pandiyan, Sanjeevi; Lawrence, T. Samraj; Sathiyamoorthi, V; Ramesh, Manikandan; Xia, Qian; Guo, Ya

doi:10.1016/j.comcom.2020.06.016

Cited by 21 publications

(8 citation statements)

References 29 publications

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“…In calculating the determination of completion time, the following basic terminology is used (Banihashemi, et al, 2021): a) E (earliest event occurrence time), b) (latest event occurrence time), c) ES (earliest activity start time), d) EF (earliest activity finish time), e) LS (latest activity start time), f) LF (latest activity finish time), g) t (activity duration time). A project network diagram always begins with an event that indicates the start of the project and ends with an event that indicates the end of the project activity ( Pandiyan, et al, 2020). Each project can consist of several paths or paths from the initial event to the final even ( Dai, et al, 2020) Basically the network is a way of depicting project activities in the form of symbols ( Yu, et al, 2021).…”

Section: Critical Path Methods (Cpm)mentioning

confidence: 99%

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Rosalinda¹,

Nizmah²,

R³

et al. 2023

SJR

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Delays in completing the Kelapa Dua shop-house construction project at CV. Mentari permai is a problem that often arises and affects the overall project work. The purpose of this research is to determine the critical path, calculate the costs incurred in the construction of the Kelapa Dua shop-house construction project with the duration of the initial and accelerated work and calculate the percentage of achievement of the shop construction project at CV. Mutia Enchantment of Nature. To overcome these delays, several control methods are used in project management. The methods used in this research are the Critical Path Method, PERT (Program Evaluation and Review Technique) and the Crashing Project. The results of the CPM planning method analysis obtained the project completion time for 91 days from the initial duration of 154 days. Whereas in reality the CPM method, the project completion time is 101 days from the initial duration of 167 days. In the PERT method, the project completion time is 107 days from a duration of 181 days with a probability of completion of 0.62%. And in the crashing project there is an acceleration of the completion duration for 9 days with an increase in costs of Rp. 26,545,194 and a total cost of Rp. 506,613,766.

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Section: Critical Path Methods (Cpm)mentioning

confidence: 99%

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Rosalinda¹,

Nizmah²,

R³

et al. 2023

SJR

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“…In recent years, with the 6G network's development, related IoT applications are widely applied and researched [1][2][3]. Especially, 6G-based edge computing is growing popular with 6G wireless communication developing rapidly [4,5]. And the scheduling issue of these applications on multiprocessors, such as systems with multiple criticalities, has become prominent [6][7][8][9][10][11][12].…”

Section: Related Workmentioning

confidence: 99%

“…Nowadays, with the 6G wireless communication networks and various smart sensors widely applied, the IoT applications grow rapidly in a wide range of areas, including industrial robot, driverless car, and edge computing [1][2][3][4][5]. Especially, edge computing, a new application paradigm, is growing popular with 6G technology's development.…”

Section: Introductionmentioning

confidence: 99%

A Smart Semipartitioned Real‐Time Scheduling Strategy for Mixed‐Criticality Systems in 6G‐Based Edge Computing

Wang

Mao

Zhao

et al. 2021

Wireless Communications and Mobile Computing

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With the rapid growth of 6G communication and smart sensor technology, the Internet of Things (IoT) has attracted much attention now. In the 6G-based IoT applications on the multiprocessor platform, the partitioned scheduling has been widely applied. However, these partitioned scheduling approaches could cause system resource waste and uneven workload among processors. In this paper, a smart semipartitioned scheduling strategy (SSPS) was proposed for mixed-criticality systems (MCS) in 6G-based edge computing. Besides tasks’ acceptance rate and weighted schedulability, QoS is considered in SSPS to improve the service quality of the system. The SSPS allocates tasks into each processor, and some tasks can migrate to other processors as soon as possible. By comparing with the several existing algorithms, the experimental results show that the SSPS achieves the best in the schedulability and QoS of the system.

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“…The cloud offers potential solutions that may aid in overcoming the challenges presented by IoT paradigm [22], [25], and [26]. Organizations and researchers can benefit from cloud platforms integrated into the multi-cloud system [27], [31].…”

Section: Research Background and Related Workmentioning

confidence: 99%

The DevOps Reference Architecture Evaluation : A Design Science Research Case Study

Ghantous

Gill

2020

2020 IEEE International Conference on Smart Internet of Things (SmartIoT)

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There is a growing interest to adopt vendor-driven DevOps tools in organizations. However, it is not clear which tools to use in a reference architecture which enables the deployment of the emerging IoT applications to multi-cloud environments. A research-based and vendor-neutral DevOps reference architecture (DRA) framework has been developed to address this critical challenge. The DRA framework can be utilized to architect and implement the DevOps environment that enables automation and continuous integration of software applications deployment to multi-cloud. This paper confers and discusses the evaluation outcomes of the DRA framework at the DigiSAS research Lab. The evaluation outcomes present practical evidence about the applicability of the DRA framework. The evaluation results also indicate that the DRA framework provides general knowledge-base to researchers and practitioners about the adoption DevOps approach in reference architecture design for deploying IoT-applications to multi-cloud environments.

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A performance-aware dynamic scheduling algorithm for cloud-based IoT applications

Cited by 21 publications

References 29 publications

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

Analysis of Project Time and Cost Control With Cpm, Pert and Crashing Project Methods in Shop Building Projects at Cv. Mentari Permai

A Smart Semipartitioned Real‐Time Scheduling Strategy for Mixed‐Criticality Systems in 6G‐Based Edge Computing

The DevOps Reference Architecture Evaluation : A Design Science Research Case Study

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