Workflow Scheduling in Cloud Computing: A Survey

Fakhfakh, Fairouz; Kacem, Hatem Hadj; Kacem, Ahmed Hadj

doi:10.1109/edocw.2014.61

Cited by 40 publications

(26 citation statements)

References 33 publications

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“…INDIGO has contributed to the networking parts of the OCCI standard, as well as to the improvement of the TOSCA support in the upstream OpenStack components: the Heat Translator and TOSCA parser [21]. Our solution makes the execution of dynamic workflows [22][23][24] possible, in a more consistent way across hybrid Clouds [25].…”

Section: Context and State Of The Artmentioning

confidence: 99%

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

et al. 2018

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This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications.

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Section: Context and State Of The Artmentioning

confidence: 99%

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

et al. 2018

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“…In this paper, we will focus on the scientific workflow. Scientific workflow contains many cloud issues [10,14] such as: how to decide the dispatch order of a workflow job? Since that workflow job is a set of tasks with dependencies.…”

Section: Introductionmentioning

confidence: 99%

Implementing a Workflow Agent on Federated Cloud

Jhu¹,

Fan²,

Yuan³

et al. 2015

2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity)

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Workflow scheduling is the way to schedule the complex scientific workflow. In a cloud platform, the resources can be utilized more effectively and efficiently by scheduling the workflow properly. In this paper, an agentbased workflow scheduling mechanism on cloud environment is proposed. We implement a set of agents that can federate multiple clouds and automatically monitor the entire system, and manage the job if it's a workflow job. We also implement a dynamic job dispatching algorithm to reduce the VM usage amount and improve the resource utilization.

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“…Several algorithms based on heuristics have been proposed in the literature [13] [4] [9] [17] [18] [19]. Each one takes into account some metrics to ensure the resources provisioning.…”

Section: Introductionmentioning

confidence: 99%

A Provisioning Approach of Cloud Resources for Dynamic Workflows

Fakhfakh

Kacem

2015

2015 IEEE 8th International Conference on Cloud Computing

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Workflow technologies have become an efficient mean for the development of different applications. One wellknown challenge for executing workflows on cloud computing is the resources provisioning. The latter consists in making an appropriate decision when mapping tasks to resources considering multiple objectives that are often contradictory. The problem of resources provisioning for workflow applications in the cloud has been widely studied in the literature. However, the existing works didn't consider the change in workflow instances at runtime. This functionality has become a major requirement to deal with unusual situations and evolutions. In this paper, we present a first step towards the resources provisioning for a dynamic workflow in the cloud. In fact, we propose a provisioning algorithm which takes into account some constraints. After that, we extend it in order to support the dynamic changes of workflow. Our algorithm is evaluated using CloudSim simulator. The different experiments that we present show the efficiency of our approach in terms of financial execution cost and overhead.

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Workflow Scheduling in Cloud Computing: A Survey

Cited by 40 publications

References 33 publications

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

Implementing a Workflow Agent on Federated Cloud

A Provisioning Approach of Cloud Resources for Dynamic Workflows

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