Performance Evaluation of Deadline Aware Multi-stage Scheduling in Cloud Computing

Indukuri, R Krishnam Raju; Penmasta, Suresh Varma; Sundari, M. V. Rama; Gummadi, Jose Moses

doi:10.1109/iacc.2016.51

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N Lin Ruonan Et Al (2016)2

B Flow Chart Of Fcfs Scheduling Algorithm1

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Cited by 4 publications

(3 citation statements)

References 9 publications

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“…Priority Scheduling can also be implemented as a preemptive algorithm, allowing a task with a higher priority to preempt the execution of lower priority tasks, as illustrated in Fig. 2 [41][42][43][44].…”

Section: B Flow Chart Of Fcfs Scheduling Algorithmmentioning

confidence: 99%

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction

Banerjee,

Roy,

Sinha

et al. 2023

IEEE Access

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Section: B Flow Chart Of Fcfs Scheduling Algorithmmentioning

confidence: 99%

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction

Banerjee,

Roy,

Sinha

et al. 2023

IEEE Access

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“…So there is a need for better scheduling. This paper dealt with the survey of dynamic scheduling, different classification and scheduling algorithms currently used in cloud providers [28].…”

Section: N Lin Ruonan Et Al (2016)mentioning

confidence: 99%

“…Indukuri et al (2016) described that cloud computing was utility based environment as pay per use model achieved by Parallel, Distributed and Cluster computing accessed through the Internet. A key advantage of cloud computing is on-demand selfservice, scalability, and elasticity.…”

Section: N Lin Ruonan Et Al (2016)mentioning

confidence: 99%

A Review on CPU Scheduling Algorithms in Cloud Environment

Rohil¹

2018

IJRASET

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Cloud computing is a technique in which computing is delivered as a service rather than a product, whereby shared resources and software, and information is provided to consumers as a utility over networks. One of the main advantages and motivations behind Cloud Computing is reducing the CAPEX (capital expenditures) of systems from the perspective of cloud users and providers. To get the favour of cloud client needs to just interface with the web and after that client can perform operations without much using the intense computing and storage. Cloud computing administration is given by CSP (cloud service provider) according to client necessities. Keeping in mind the end goal to satisfy the request of diverse clients, they give distinctive nature of services. In order to conclude the term cloud, it is an executable environment having a dynamic behaviour of resources as well as clients giving various services [2][3] [4].

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CCMA—cloud critical metric assessment framework for scientific computing

Ravindhren¹,

Ravimaran

2017

Cluster Comput

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Performance Evaluation of Deadline Aware Multi-stage Scheduling in Cloud Computing

Cited by 4 publications

References 9 publications

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction

A Review on CPU Scheduling Algorithms in Cloud Environment

CCMA—cloud critical metric assessment framework for scientific computing

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