In this paper, we discuss two major tradeoffs, spatial and temporal tradeoffs, that appear when applying marketbased computing to multimedia network applications. The former appears between computation and communication cost, depending on how agents are distributed over network. The latter appears between reactiveness and correctness of result, depending on how the network environment dynamical...

In this paper, we present the design of a self organising resource discovery protocol (SORD) for e cient resource discovery and job allocation for cluster computing/Grid scenarios. The protocol is fully distributed and is based on the peer to peer architecture and small world topologies. The evaluation of the protocol is done through simulation. The simulation scenario assumes a QoS enabled Gri...

Efficient discovery and resource allocation is one of the challenges of any large scale Application Layer Network (ALN) such as computational Grids, Content Distribution Networks or P2P applications. In centralized approaches, the user requests can easily matched to the most convenient resource. This approach, however, shows scalability limits. In this paper, we explore an architecture for inco...

A cognitive femtocell is a new small cell based on a smart home base station to solve the spectrum-scarcity problem. Recently, dedicated resource allocation for cognitive femtocells is extensively researched to mitigate the co-channel interference. However, the cognitive femtocell may suffer from the lack of frequency resource for its users due to high data traffic load of the macro cell. Inter...

This document looks into coordinated radio resource allocation algorithms in deployments of huge number of femto-access points (FAP) by exploiting the message exchange at control-plane level through the wired ISP backhaul link. The algorithms present in this document are based on decentralized cooperative strategies supported by Game Theory. Decentralized resource allocation algorithms based on...

Efficient discovery and resource allocation is one of the challenges of current Peer-to-Peer systems. In centralized approaches, the user requests can be matched to the fastest, cheapest or most available resource. This approach, however, shows scalability limits. In decentralized models, the functionality of the system is often more important than achieving assignments which reduce its overall...

Title of Dissertation: An Optimization Theoretical Framework for Resource Allocation over Wireless Networks Zhu Han, Doctor of Philosophy, 2003 Dissertation directed by: Professor K. J. Ray Liu Department of Electrical and Computer Engineering With the advancement of wireless technologies, wireless networking has become ubiquitous owing to the great demand of pervasive mobile applications. Some...

We investigate the user-to-cell association (or userclustering) and beamforming design for Cloud Radio Access Networks (CRANs) and Fog Radio Access Networks (FogRANs) for 5G. CRAN enables cloud centralized resource and power allocation optimization over all the small cells served by multiple Access Points (APs). However, the fronthaul links connecting each AP to the cloud introduce delays and c...