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The Square Kilometer Array (SKA) under construction aims to be the world's largest telescope. Its Science Data Processing (SDP) is responsible for processing the observed data into science-ready data products. The exa-scale data throughtput calls for scheduling to assign computation tasks to networked computing island to relieve computation pressure. Popular scheduling methods in the classic high...
Cloud computing is a computing paradigm where platform, scalable resources, data storage and IT services are provided over the Internet. With the very attractive features, Cloud computing becomes very popular in the IT market, businesses, government organizations and educational departments. Nowadays, task scheduling problem is the current research topic in cloud computing environment. Achieving deadline...
Cloud computing can provide the dynamic and elastic virtualized resources for the users and is based on distributed computing, parallel computing and grid computing. Task scheduling is an important part of cloud computing. The schedule constraint is based on the QoS constraints, such as task executed time, cost, resource utilization, etc. We proposed one task hierarchical model for the associated...
In practical Cloud/Grid computing systems, DAG scheduling may be faced with challenges arising from severe uncertainty about the underlying platform. For instance, it could be hard to have explicit information about task execution time and/or the availability of resources, both may change dynamically, in difficult to predict ways. In such a setting, the development of various kinds of just-in-time...
The development of cloud computing technology has been continuously growing since its invention and has attracted the attention of many researchers in the academia and the industry, particularly during the recent years. The majority of organizations, whether large corporate businesses or typical small companies, are moving towards employing this cutting edge technology. Using private cloud provides...
Cloud computing is an emerging IT field. In cloud, service providers managed and provided resources to users. Software or hardware can be used on rental basis; there is no need to buy them. Most of the cloud applications are modeled as a workflow. In workflows to complete the whole task applications require various sub-tasks to be executed in a particular fashion. Key role in cloud computing systems...
Cloud computing nowadays is playing major role in storage and processing huge tasks with scalability options. Deadline based scheduling is the main focus when we process the tasks using available resources. Private cloud is owned by an organization and resources are free for user whereas public clouds charge users using pay-as-you-go model. When the private cloud is not enough for processing user...
Data transfer is a big overhead for cloud workflows due to pay-as-use business model of cloud environment. In such environment, the cost arising from data transfers between resources as well as execution costs must also be taken into account during scheduling based upon user's Quality of Service (QoS) constraints. In this paper, we present Priority based Genetic Algorithm BCHGA to schedule workflow...
Workflows have been used to represent a variety of applications involving high processing and storage demands. As a solution to supply this necessity, the cloud computing paradigm has emerged as an on-demand resources provider. While public clouds charge users in a per-use basis, private clouds are owned by users and can be utilized with no charge. When a public cloud and a private cloud are merged,...
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