System performance in multi-agent resource allocation systems can often improve if individual agents reduce their activity. Agents in such systems need a way to modulate their individual behavior in the light of the system’s state, preferably in a way that does not require centralized control. We illustrate the problem of hyperactive agents in two domains related to resource allocation. We desc...

The multi-agent resource allocation problem is the negotiation of a set of resources among a population of agents, in order to maximize a social welfare function. The purpose of this study is the definition of the agent behavior which leads, if possible, to an optimal resource allocation at the end of the negotiation process as an emergent phenomenon. This process can be based on any kind of co...

Cloud computing is gaining strength in the IT marketplace because of its on-demand resource provisioning, high availability and elasticity. To offer these advantages, many largely centralized computing infrastructures have emerged, which results in many concerns such as resource over-provisioning, huge energy consumption, privacy protection, data security, etc. In this proposal, we envision a d...

Efficient management of large-scale job processing systems is a challenging problem, particularly in the presence of multiusers and dynamically changing system conditions. In addition, many real world systems require the processing of multi-resource jobs where centralized coordination may be difficult. Most conventional algorithms, such as load balancing, are designed for centralized, single re...

Enterprise groups are characterized by multiple levels of enterprises with large scales assets and complex business models. In the process administration management funds, there often some problems, such as unreasonable internal funds allocation, high financing costs, flawed control. Centralized fund is a tool for overall allocation intra-group coordinated group investment financing. It can opt...

resource allocation techniques have recently appeared as a widely recognized feature in lte networks. most of existing approaches in resource allocation focus on maximizing network’s utility functions. the great potential of utility function in improving resource allocation and enhancing fairness and mean opinion score (mos) indexes has attracted large efforts over the last few years. in this p...

This paper proposes a distributed solution approach to a certain class of dynamic resource allocation problems and develops a dynamic programming-based multiagent decision-making, learning, and communication mechanism. In the class of dynamic resource allocation problems we consider, a set of reusable resources of different types has to be assigned to tasks that arrive randomly over time. The a...

In this paper, we present a software framework for the air traffic system that includes and integrates several architectural components devoted to the dynamic allocation, exchange and self-adaptation of resources. Some of these components, namely the allocation and the adaptation of resources, are managed at a centralized level by a single authority, whereas the resource exchange component is e...

Resource management is one of the important issues in the e cient use of grid computing, in general, and poses speci c challenges in the context of ad hoc grids due to the heterogeneity, dynamism, and intermittent participation of participating nodes in the ad hoc grid. In this paper, we consider three di erent kinds of organizations in an ad hoc grid ranging from completely centralized to comp...

Due to the expansion of Internet Things (IoT), extensive wireless, and 4G networks, rising demands for computing calls data communication emergent EC (EC) model. By stirring functions services positioned in cloud user proximity, could offer robust transmission, networking, storage, transmission capability. The resource scheduling EC, which is crucial accomplishment system, has gained considerab...