High-Throughput Scientific Workflow Scheduling under Deadline Constraint in Clouds
نویسندگان
چکیده
منابع مشابه
High-Throughput Scientific Workflow Scheduling under Deadline Constraint in Clouds
—Cloud computing is a paradigm shift in service delivery that promises a leap in efficiency and flexibility in using computing resources. As cloud infrastructures are widely deployed around the globe, many dataand computeintensive scientific workflows have been moved from traditional highperformance computing platforms and grids to clouds. With the rapidly increasing number of cloud users in v...
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One of the main features of High Throughput Computing systems is the availability of high power processing resources. Cloud Computing systems can offer these features through concepts like Pay-Per-Use and Quality of Service (QoS) over the Internet. Many applications in Cloud computing are represented by workflows. Quality of Service is one of the most important challenges in the context of sche...
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Commercial cloud computing resources are rapidly becoming the target platform on which to perform scientific computation, due to the massive leverage possible and elastic pay-as-you-go pricing model. The cloud allows researchers and institutions to only provision compute when required, and to scale seamlessly as needed. The cloud computing paradigm therefore presents a low capital, low barrier ...
متن کاملa clustering approach to scientific workflow scheduling on the cloud with deadline and cost constraints
one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...
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Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows. In this paper, we address a new and important problem concerning the efficient management of such ensembles under budget and deadline constraints on Infrastructure as a Service (IaaS) clouds. IaaS clouds are characterized by ondemand resource provisioning capabilities and a pa...
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ژورنال
عنوان ژورنال: Journal of Communications
سال: 2014
ISSN: 1796-2021
DOI: 10.12720/jcm.9.4.312-321