Large-scale distributed computing environments provide a vast amount of heterogeneous
computing resources from different sources for resource sharing and distributed computing …

Grid computing is the federation of resources from multiple locations to facilitate resource
sharing and problem solving over the Internet. The challenge of finding services or …

Abstract In recent years, Jungle Computing has emerged as a distributed computing
paradigm based on simultaneous combination of various hierarchical and distributed …

Distributed discovery service is a main concept in the scalable and dynamic grid
environments. In this paper, based on the super‐peer technique, we propose a new …

Resource discovery in large-scale Peer-to-Peer (P2P) networks is challenging due to lack of
effective methods for guiding queries. Based on the observation that the effectiveness of …

Scheduling many tasks in environments of millions of unreliable nodes is a challenging
problem. To our knowledge, no work in the literature has proposed a solution that also …

A key point for the efficient use of large grid systems is the discovery of resources, and this
task becomes more complicated as the size of the system grows up. In this case, large …

This paper proposes a novel wide-area resource discovery method, MatchTree, that is built
upon a Peer-to-Peer (P2P) framework to deliver scalable and fault-tolerant resource …

Resource discovery is an important part of distributed computing and resource sharing
systems, like grids and utility computing. Because of the increasing importance of …

One of the key issues in large-scale distributed systems such as P2P and grids is the
capability of efficient multidimensional range query processing. Although several methods …