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Auction based resource allocation in cloud computing
Multiagent and Grid Systems, 2014 Resource allocation is fundamental function of cloud computing. Different auction models offer a variety of market driven resource allocation mechanisms. This paper studies auction based resource allocation for cloud computing. First, a framework of auction based resource allocation is presented for cloud computing, and the main issues are also ...
Hui Wang 0021 +2 more
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Auction allocation of computing resources
Communications of the ACM, 1995Standard methods for allocating computing resources normally employ schedulers and either queue or priority schemes. Alternative methods utilizing marketlike processes are being investigated, with direct applicability to evolving distributed systems.
Ross A. Gagliano +2 more
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Allocation of Computation Resources
2021Resource allocation is a critical problem in algorithm portfolios. It refers to the schemes adopted for distributing the available computation resources (running time, function evaluations, or processing units) among the constituent algorithms. The computation resources can be assigned before the application of the portfolio (offline) or during its run
Dimitris Souravlias +3 more
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Autonomic computing approach for resource allocation
Expert Systems with Applications, 2005Abstract This paper presents an autonomic solution based in a multi-agent model for resource allocation in a manufacturing environment. This model considers the temporal and synchronism aspects involved in the allocation process. To attend to this purpose a framework was developed with a CIMOSA compliant architecture.
Ricardo Melo Bastos +2 more
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Resource allocation and scheduling in cloud computing
2012 International Conference on Computing, Networking and Communications (ICNC), 2012Cloud computing is a platform that hosts applications and services for businesses and users to accesses computing as a service. In this paper, we identify two scheduling and resource allocation problems in cloud computing. We describe Hadoop MapReduce and its schedulers, and present recent research efforts in this area including alternative schedulers ...
Eman Elghoneimy +2 more
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Resource allocation and management in Cloud Computing
2015 IFIP/IEEE International Symposium on Integrated Network Management (IM), 2015Resource allocation and management in Cloud Computing is a very complex task. This is mainly due to the scale of the cloud and the number of services deployed in it. Since cloud users and service providers are given access to supercomputerlevel resources, their effect over the cloud's overall performance is greater than ever.
Amir Nahir, Ariel Orda, Danny Raz
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Resource co-allocation in computational grids
Proceedings. The Eighth International Symposium on High Performance Distributed Computing (Cat. No.99TH8469), 2003Applications designed to execute on "computational grids" frequently require the simultaneous co-allocation of multiple resources in order to meet performance requirements. For example, several computers and network elements may be required in order to achieve real-time reconstruction of experimental data, while a large numerical simulation may require
Karl Czajkowski +2 more
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Continuous resource allocation in cloud computing
2015 IEEE International Conference on Communications (ICC), 2015With the advent of cloud computing, more and more enterprises and individuals are motivated to outsource their local complex applications into the cloud for its great flexibility and economic savings. For cloud server, however, the problem of how to optimize scheduling cloud resources to maximize the resource utilization and incorporate energy ...
Zhigang Zhou +3 more
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Resource allocation in computer networks
2021Fairness in the allocation of resources in a network shared among multiple flows of traffic is an intuitively desirable property with many practical benefits. Fairness in traffic management can improve the isolation between traffic streams, offer a more predictable performance, eliminate certain kinds of transient bottlenecks and may serve as a ...
Yunkai Zhou, Harish Sethu
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