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Resource Allocation in Fog Computing
2023Cloud computing has already demonstrated its effectiveness in managing internet of things (IoT) applications and computationally intensive tasks and resources. Due to the substantial delay imparted by the network, cloud computing is not recommended for latency-critical applications.
Gopal K. Shyam, Priyanka Bharti
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Computing Resource Allocation with PEADGA
2014In this chapter, for solving optimal allocation of computing resources (OACR) problem in cloud manufacturing (CMfg) [1], serial three-layer operation configuration and parallel configuration are both applied.
Yuanjun Laili, Fei Tao, Lin Zhang
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Resource Allocation over Grid Computing Military Networks
MILCOM 2006 - 2006 IEEE Military Communications conference, 2006In the GRID environment investigated in this work, each node of the network can be either a terminal host or a web cache location. Objects, which can represent either a file or any other resource to be shared, are downloaded throughout the network among the nodes. For memory saving and for safety reasons, each object is composed of a number of portions
BISIO, IGOR +3 more
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Hierarchical computation of the resource allocation problem [PDF]
European Economic Review, 1995 Some recent research on information processing in organizations has treated the agents who process information as endogenous. This paper discusses a sample of models in this area, which differ in their methodology but are unified by the fact that they study the resource allocation problem.
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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 M. Bastos +2 more
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Resource Allocation for Cloud Computing
2011Cloud computing has emerged as a distributed computing paradigm where resources are requested on demand and in a very dynamic fashion and paying only for what you consume. This new paradigm created an ecosystem where several providers offer heterogeneous computing resources to satisfy the customers’ computing demand.
Ejarque, J. +3 more
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Reasoning about computational resource allocation
XRDS: Crossroads, The ACM Magazine for Students, 1996Anytime Algorithms are algorithms that exchange execution time for quality of results. Since many computational tasks are too complicated to be completed at real-time speeds, anytime algorithms allow systems to intelligently allocate computational time resources in the most effective way, depending on the current environment and the system's goals ...
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COMPUTING RESOURCES ALLOCATION IN INFORMATION SYSTEMS
Труды НИИР, 2022В современных условиях успешность предприятия во многом определяется организацией управления. Эффективность управления зависит от того, насколько обоснованно и правильно выбраны и как используются информационно-коммуникационные технологии, реализуемые в автоматизированных системах планирования и управления ресурсами, запасами и кадрами предприятия ...
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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
K. Czajkowski, I. Foster, C. Kesselman
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Allocating resource dynamically in cloud computing
2017 International Conference on Infocom Technologies and Unmanned Systems (Trends and Future Directions) (ICTUS), 2017In Cloud Computing, properly utilizing resource allocation dynamically is one of the most important factors for optimization. While utilizing, the main focus is on to use maximum resources which are highly scalable so that the process is completed in a speedy manner.
Praveen Kumar +5 more
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