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Bargaining Game-Based Scheduling for Performance Guarantees in Cloud Computing
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Autonomous Agent Based Load Balancing Algorithm in Cloud Computing
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Mathematical Methods of Game and Economic Theory
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Nash bargaining solution based user association optimization in HetNets
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Designing games for distributed optimization
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A study on load balancing in cloud computing environment using evolutionary and swarm based algorithms
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Cloud computing infrastructure robustness: A game theory approach
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A cooperative game based allocation for sharing data center networks
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Convex Optimization, Game Theory, and Variational Inequality Theory
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A Cooperative Game Framework for QoS Guided Job Allocation Schemes in Grids
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Optimal Power Allocation and Load Distribution for Multiple Heterogeneous Multicore Server Processors across Clouds and Data Centers
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A Profit Maximization Scheme with Guaranteed Quality of Service in Cloud Computing
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Cooperation Stimulation for Multiuser Cooperative Communications Using Indirect Reciprocity Game
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Load Balancing Hashing in Geographic Hash Tables
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Optimal Multiserver Configuration for Profit Maximization in Cloud Computing
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A Fine-Grained Performance Model of Cloud Computing Centers
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Strategy Configurations of Multiple Users Competition for Cloud Service Reservation
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Optimization of Resource Provisioning Cost in Cloud Computing
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Scheduling Multiple Divisible Loads in a Multi-cloud System
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A game-theoretic model for dynamic load balancing in distributed systems
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Understanding scheduling implications for scientific applications in clouds
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Revenue optimization in the generalized second-price auction
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Revenue optimization in the generalized second-price auction
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Cost adaptive workflow scheduling in cloud computing
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Privacy-Preserving Public Information for Sequential Games
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Competition on Price and Quality in Cloud Computing
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A Game Theory Approach to Fair and Efficient Resource Allocation in Cloud Computing
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Load balancing in cloud-based content delivery networks using adaptive server activation/deactivation
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Review on Mapping of Tasks to Resources in Cloud Computing
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