In this paper, a centralized resource allocation model based on priority schemes is first proposed for best-effort networks in which traffic from all priorities are fully multiplexed. Then a priority pricing scheme is used to distribute the resource allocation process. Users and the network exchange their characterizations on QoS, resource demand and prices via contract negotiation. The contrac...

Power control in direct sequence-coded vision multiple access (DS-CDMA) systems and, more recently, power/rate allocation in multirate DS-CDMA based networks is an open and interesting research area which has attracted much attention. However, with a few exceptions, most researchers have emphasized centralized resource allocation algorithms for cellular systems where the base station keeps trac...

Grid resource allocation is a complex task that is usually solved by systems relying on a centralized information system. In order to create a lightweight scheduling system, we investigated the potential of auctions for resource allocation. Each resource provider runs an agent bidding on the execution of software with respect to local restrictions. This way, the information system becomes obsol...

As wireless networks evolve to orthogonal frequency division multiple access (OFDMA) systems, inter-cell interference control becomes a critical issue in radio resource management. The allocation of the same channels in neighbor cells cause inter-cell interference, so the channel allocation needs to be taken carefully to lower the inter-cell interference. For channel allocation, we consider two...

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...

Centralized approaches have several important drawbacks when employed to solve the resource allocation problem within an agent community. This paper seeks to provide scalable and distributed algorithms to solve this problem, avoiding centralized approach drawbacks. We propose adaptive and “anytime” algorithms which can be applied with any kind of contact network, any range for the utility value...

In this paper, we propose a game-theoretic solution to the problem of distributed resource allocation in emerging horizontal dynamic cloud federation (HDCF) platform. It differs from the existing vertical supply chain federation (VSCF) models in terms of establishing federation and dynamic pricing. We study two resource allocation games non cooperative and cooperative games to analyze interacti...

Traditional resource management systems rely on a centralized approach to manage users running on each resource. The centralized resource management system is not scalable for large-scale servers as the number of users running on shared resources is increasing dramatically and the centralized manager may not have enough information about applications’ need. In this paper we propose a distribute...