We present an anytime algorithm for adapting a negotiation to a dynamically changing environment in which either new tasks can appear or the availability of resources can change during the negotiation. We use a particular negotiation algorithm, which we call Mediation, in which problem solutions

A Market-Oriented Grid introduces an economic or market-oriented perspective to the grid. Negotiation is a vital component that facilitates the Market-Oriented Grid. Negotiating agents play an indispensable role within the Market Oriented Grid. The extremely dynamic nature of grid makes agent

Most conflict situations are dynamic processes where negotiation is carried out and the payoff not only depends on the final state but on the entire process leading to that final state. In this paper, we present three techniques by generalizing the concepts of conflict and solution method so

of flexible cooperative multi-issue one-to-many service negotiations. The framework allows two levels of dynamic configuration of negotiations. First, the negotiation protocol can by dynamically selected depending on the profiles of available service providers. Second, negotiation subject as well

to handle multiple scenarios. This paper presents negotiating agents, which can change their negotiation protocol and strategy through dynamic loading of reasoning models. We also describe details of the initial implementation of such a system.

Policy-based dynamic negotiations allow more flexible authorization in complex Grid environments, and relieve both users and administrators from up front negotiations and registrations. This paper describes how such negotiations overcome current Grid authorization limitations, and how policy

Abstract. Policy-based dynamic negotiations allow more flexible authorization in complex Grid environments, and relieve both users and administrators from up front negotiations and registrations. This paper describes how such negotiations overcome current Grid authorization limitations, and how

In this paper, we discuss consensus problems for a network of dynamic agents with fixed and switching topologies. We analyze three cases: i) networks with switching topology and no time-delays, ii) networks with fixed topology and communication time-delays, and iii) max-consensus problems (or

clusters. The goals are to provi-sion server resources for co-hosted services in a way that automati-cally adapts to offered load, improve the energy efficiency of server dusters by dynamically resizing the active server set, and respond to power supply disruptions or thermal events by degrading service

and computational risk management to sustain Service Level Agreement (SLA)-oriented resource allocation. In addition, we reveal our early thoughts on interconnecting Clouds for dynamically creating global Cloud exchanges and markets. Then, we present some representative Cloud platforms, especially those developed