Titlebook: Agents and Peer-to-Peer Computing; Third International Gianluca Moro,Sonia Bergamaschi,Karl Aberer Conference proceedings 2005 Springer-Ve

羽毛長(zhǎng)成

Eugenie S. Kleinerman,Richard Gorlicknts can play both the role of resource consumers and the role of resource providers. Moreover, the agents remain in control of their resources, and therefore we distinguish between the authorization to access a resource given by the virtual community and the permission to do so issued by the resourc

印第安人

Duncan C. Ramsey,Kenneth R. Gundle in the design of applications ranging from high-capacity file sharing and global scale distributed computing to business team-ware. The objective of this paper is to outline a number of areas in which Agent techniques for the management of . such as decision making or fair trading amongst autonomou

GRILL

https://doi.org/10.1007/978-3-030-43032-0ose a P2P data management framework named PEPSINT that semantically integrates heterogeneous XML and RDF data sources, using a hybrid architecture and a global-as-view approach. Our focus is on the query processing techniques over heterogeneous data. Queries in PEPSINT are expressed in XQuery and in

micronized

chassis

NIB

Eugenie S. Kleinerman,Richard Gorlickems. We have earlier proposed an RMI-based middleware for mobile devices called System on Mobile Devices (SyD). A middleware on mobile devices is a challenging issue, as it has to deal with problems such as limited memory, frequent disconnections, low bandwidth connection, and limited battery life.

暴發(fā)戶

不安

芳香一點(diǎn)

Holomorphic Aspects of String Theory,all over the world. In peer-to-peer grids, numerous tasks are distributed to grid nodes in a decentralized fashion. In this case, two issues of interest are suitable computing mechanisms and the global performance of the grid, specifically, the dynamics of task distribution and handling. To address

Ardent

Holomorphic Aspects of String Theory,ent of distributed computing platforms, relying on a generic client/server model. We propose a fully decentralized computing model, considering all participant as peers that can submit personalized computing tasks to any number of other peers currently offering their services, listed in a peer direc