In computational grids, heterogeneous resources with different ownerships are dynamically available and distributed geographically. It is not realistic to build the resource allocation mechanisms for such computational platform without considering economic issues. Developing computational economic-based approaches is a promising avenue for building efficient, scalable and stable resource alloca...

We propose a message-passing paradigm for resource allocation problems. This is a framework for decentralized management that generalizes price-based systems by allowing incentives to vary across activities and consumption levels. Message-based incentives are defined through a new equilibrium concept. We demonstrate that message-based incentives lead to systemoptimal behavior for convex resourc...

Distributed sensor resource allocation problem is an important research area of multi agent systems. In this paper we propose a model of distributed resource allocation problem for distributed sensor networks. Several models based on constraint network and another model based on concept of agency, are compared. Then, constraint network formalization which are similar to resource allocation prob...

in this study, under the constraint of resource-saving and environment-friendliness objective, based on multi-agent genetic algorithm, multi-objective spatial optimization (moso) model for land use allocation was developed from the view of simulating the biological autonomous adaptability to environment and the competitive-cooperative relationship. the model was applied to solve the practical m...

We present the SweGrid Accounting System (SGAS) — a decentralized and standardsbased system for Grid resource allocation enforcement that has been developed with an emphasis on a uniform data model and easy integration into existing scheduling and workload management software. The system has been tested at the six high-performance computing centers comprising the SweGrid computational resource,...

As the number of users of cloud services increase all over the world, cloud service providers keep deploying geographically distributed data centers more. Since resource capacity of a data center is limited, cloud service providers need to distribute load to data centers. However, when the provider distributes load, SLAs (service level agreements) established with consumers should be guaranteed...