Deadline and cost based workflow scheduling in hybrid cloud

Chopra, Nitish; Singh, Sarbjeet

doi:10.1109/icacci.2013.6637285

Cited by 43 publications

(23 citation statements)

References 10 publications

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“…By employing a hybrid partitioning algorithm, their scheme can efficiently handle diversified cloud end user groups, multiple IaaS request classes and security-related QoS issues without neglecting energy efficiency and other business-level objectives. Chopra (2013) propose a level based scheduling algorithm which executes tasks level wisely. The algorithm uses the concept of sub-deadline which is helpful for finding best resources on public cloud, and completing workflow execution within the deadlines.…”

Section: Introductionmentioning

confidence: 99%

Optimal scheduling across public and private clouds in complex hybrid cloud environment

2015

Inf Syst Front

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The hybrid cloud extends the private cloud model by using both local and remote resources. The private cloud will rely on the resources leased from public cloud providers for the execution of private cloud applications. The paper presents optimal scheduling across public and private clouds in complex hybrid cloud environment. The contributions of this paper have three aspects. 1) The proposed hybrid cloud scheduling policy considers the benefits of private cloud applications and public cloud provider, it can adapt to the changes in the system to find the scheduling optimization. The scheduling optimization is decomposed and conducted across the private cloud and public cloud. 2) Secondly, The paper describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. 3) Thirdly, the paper proposes an optimal scheduling algorithm across public and private clouds. The paper also describes negotiations in hybrid cloud marketplace and gives an example to explain how these rules are resolved by the cloud marketplace. In the simulations, the profit of public cloud provider and resource utilization of the proposed algorithm are better than other related works.

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Section: Introductionmentioning

confidence: 99%

Optimal scheduling across public and private clouds in complex hybrid cloud environment

2015

Inf Syst Front

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“…Deadline and Cost Based workflow Scheduling in Hybrid Cloud [14] Within this Paper, the proposed Algorithm helps in taking the best resource from the public cloud on lease so that work-flow execution should be completed in the given deadlines by user .The Cost Optimization is obtained by the proposed algorithm.…”

Section: Fig2 Wfmc Workflow Reference Modelmentioning

confidence: 99%

A review on scheduling algorithms for work-flow application in cloud computing

2017

IJLTET

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“…However, in this work, each workflow is processed on either the public cloud or the private cloud, which is different from our framework where tasks of the workflow can be dispersed on both VMs of CPs and fog nodes at the local system of CCs. Chopra and Singh 21 propose a deadline and cost-based scheduling heuristic in hybrid cloud, in which subdeadline is assigned to each task in workflow application and migrate the tasks to public cloud when deadline is not met at private cloud. However, the tradeoff between the cost and schedule length is not properly addressed in this work.…”

Section: Related Workmentioning

confidence: 99%

A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing

Pham

Man

Tri

et al. 2017

International Journal of Distributed Sensor Networks

127

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The rapid development of Internet of Things applications, along with the limitations of cloud computing due mainly to the far distance between Internet of Thing devices and cloud-based platform, has promoted a newly distributed computing platform based on collaboration between cloud computing and fog computing. Fog computing helps to reduce transmission latency and monetary cost for cloud resources, while cloud computing helps to fulfill the increasing demands of large-scale compute-intensive offloading applications. In this article, we study the tradeoff issue between the makespan and cloud cost when scheduling large-scale applications in such a platform. We propose a scheduling algorithm called Cost-Makespan aware Scheduling heuristic whose major objective is to achieve the balance between the performance of application execution and the mandatory cost for the use of cloud resources. Additionally, an efficient task reassignment strategy based on the critical path of the directed acyclic graph modeling the applications is also proposed to refine the output schedules of the Cost-Makespan aware Scheduling algorithm to satisfy the user-defined deadline constraints or quality of service of the system. We also verify our proposal by extensive simulations, and the experimental results show that our scheduling approach is more cost-effective and achieves better performance compared to others.

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Deadline and cost based workflow scheduling in hybrid cloud

Cited by 43 publications

References 10 publications

Optimal scheduling across public and private clouds in complex hybrid cloud environment

Optimal scheduling across public and private clouds in complex hybrid cloud environment

A review on scheduling algorithms for work-flow application in cloud computing

A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing

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