Network services catering to large client populations are inevitably decentralized to benefit from the improved performance, availability, and scalability that decentralization offers. Decentralized network services might be deployed as independent servers in different administrative domains (e.g., domain name system), distributed globally with a central management (e.g., content distribution n...

Allocation problems are one of main problem targets to apply today s agent based com puting They can be found in a large specter do mains ranging from production task scheduling to resource allocation or distribution problems How ever there are cases where agents even being au tonomous do not decide what to do without hu man intervention and decision Most of these cases are concerning with econ...

Although desktop Grid computing has been regarded as a cost-efficient computing paradigm, the system has suffered from scalability issues caused by its centralized structure. In addition, resource volatility generates system instability and performance deterioration. However, regarding the provision of a reliable and stable execution environment, resource management becomes more intricate when ...

Resource allocation is the process of discovering and allocating resources to requested tasks in a way that satisfy both user jobs and resource administrators. In ad-hoc Grids, resource allocation is a challenging undertaking as tasks and resources are distributed, heterogeneous in nature, owned by different individuals or organizations and they may arise spontaneously at any time with various ...

Constraint satisfaction is one of the most successful problem solving paradigms in Artificial Intelligence. Since its original development over 30 years ago [2–4], it has found numerous applications in almost all areas of AI. Its most common applications today are in configuration, planning, scheduling and resource allocation, and form the basis of a significant software industry. With increasi...

We formulate and study the algorithmic mechanism design problem for a general class of resource allocation settings, where the center redistributes the private resources brought by individuals. Money transfer is forbidden. Distinct from the standard literature, which assumes the amount of resources brought by an individual to be public information, we consider this amount as an agent’s private,...

Time-Slotted Optical Burst Switching (TS-OBS) is one of the most promising next-generation transport network technologies. This paper proposes a time-slot assignment procedure using centralized control for TS-OBS networks. Our scheme attempts to improve burst contention resolution and optical channel utilization. Analysis and simulation results show that the channel utilization of the TS-OBS ne...

Video surveillance systems are critical infrastructures and that growing in size complexity. Storage space is the prime resource such but current setups centralized limited resources due to security cost constraints. Allocating correct amount of storage each camera considering their large differences characteristics video content challenging. In this paper we propose a game theoretic approach a...

Many dynamic resource allocation and on-line load balancing problems can be modeled by processes that sequentially allocate balls into bins. The balls arrive one by one and are to be placed into bins on-line without using a centralized controller. If n balls are sequentially placed into n bins by placing each ball in a randomly chosen bin, then it is widely known that the maximum load in bins i...

in the market for factors of production usually the equilibrium will be stablished on the based of the equality between the value of marginal products of output and their relative price level. on the other hand the value of marginal product of output is a function of observed rate productivity of output and the market capacity of factors of production. thus the fluctuation in the rate of produc...