Bi-criteria Workflow Tasks Allocation and Scheduling in Cloud Computing Environments

Bessai, Kahina; Youcef, Samir; Oulamara, Ammar; Godart, Claude; Nurcan, Selmin

doi:10.1109/cloud.2012.83

Cited by 71 publications

(43 citation statements)

References 12 publications

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“…Previous attempts to multi-objective workflow scheduling consisted in transforming the problem into a mono-objective optimization one using user preferences [3,9,11], imposing constraints over the optimisation criteria [16,8], or optimising single objectives individually [4]. More recently, several approaches computing the whole set of tradeoff solutions emerged grouped in two main lines: (1) genetic algorithms-based techniques for optimizing makespan and cost [23], makespan and energy consumption [13], or makespan, cost and reliability [18]; and (2) list-based heuristics for optimizing makespan and cost or makespan [5,6] and energy consumption [7].…”

Section: Related Workmentioning

confidence: 99%

Workflow Scheduling on Federated Clouds

Durillo

Prodan

2014

Lecture Notes in Computer Science

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Abstract. Federated Clouds, or the orchestration of multiple Cloud services for fulfilling applications' requirements, is receiving increasing attention. Despite their many advantages, federated Clouds also present some downsides since different services may reside in different geographically located areas. This paper focuses on evaluating the advantages and disadvantages, from the point of view of performance and financial costs, of using a federation of Clouds for executing scientific workflows. It evaluates a wide range of different workflow types with different requirements in terms of computation and communication (produced and consumed data), and discusses which kind of workflow applications can benefit from a Cloud federation and how.

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Section: Related Workmentioning

confidence: 99%

Workflow Scheduling on Federated Clouds

Durillo

Prodan

2014

Lecture Notes in Computer Science

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“…Bessai et al [19] used pareto approach to solve a bi-criteria (execution time and cost) workflow scheduling. Their algorithm is implemented on basis of list scheduling.…”

Section: Pareto Approachmentioning

confidence: 99%

Workflow scheduling in cloud: a survey

2015

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To program in distributed computing environments such as grids and clouds, workflow is adopted as an attractive paradigm for its powerful ability in expressing a wide range of applications, including scientific computing, multi-tier Web, and big data processing applications. With the development of cloud technology and extensive deployment of cloud platform, the problem of workflow scheduling in cloud becomes an important research topic. The challenges of the problem lie in: NP-hard nature of task-resource mapping; diverse QoS requirements; on-demand resource provisioning; performance fluctuation and failure handling; hybrid resource scheduling; data storage and transmission optimization. Consequently, a number of studies, focusing on different aspects, emerged in the literature. In this paper, we firstly conduct taxonomy and comparative review on workflow scheduling algorithms. Then, we make a comprehensive survey of workflow scheduling in cloud environment in a problem-solution manner. Based on the analysis, we also highlight some research directions for future investigation.

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“…The workflow tasks allocation, scheduling and ranking on different computing environments has been intensively studied [11,12] due to its significance on performance. There exist several approaches that are considered for the achievement of allocation, scheduling and ranking for workflow tasks.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Tasks Allocation, Scheduling and Ranking Techniques in a Cloud Computing Environment

Darwish¹

2018

IJCA

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Cloud computing presents an architecture that delivers computing services via the internet on demand and payed per use of a pool of resources that are shared, such as networks, storage, servers, services and applications, without having to acquire them. Cloud computing reduces managing cost and time for organizations. Many industries, such as banking, healthcare and education are shifting to the cloud, due to the effectiveness of services delivered by the pay-per-use concept depending on the resources, such as processing power utilized, transactions performed, bandwidth consumed, data transmitted, or storage space occupied etc. Cloud computing is considered as a technology that relies completely on the internet, where client data is saved and kept in the data center of a cloud supplier. The goal of this paper is to implement and evaluate different allocation, scheduling and ranking techniques, where, different methods for the allocation, scheduling and ranking of workflow tasks are proposed, implemented and evaluated. Simulation was performed on these techniques, and the results were analyzed to find the best technique in terms of efficiency and performance in reducing completion time and cost.

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Bi-criteria Workflow Tasks Allocation and Scheduling in Cloud Computing Environments

Cited by 71 publications

References 12 publications

Workflow Scheduling on Federated Clouds

Workflow Scheduling on Federated Clouds

Workflow scheduling in cloud: a survey

Evaluation of Tasks Allocation, Scheduling and Ranking Techniques in a Cloud Computing Environment

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