Grid computing systems provide a vast amount of computing resources from multiple
administrative domains to reach a main objective. One of the most important challenges in …

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 …

There are possibly lots of resources in grid environments today. These resources may be
geographically distributed and hard to locate. Thus, finding appropriate resources, that …

Resource Discovery (RD) is one of the key issues in successful Grid systems. Yet, new
methodologies for RD are constantly researched owing to the dynamicity, heterogeneity and …

Distributed systems based on the Internet allow resources widely dispersed throughout the
network to be utilized cooperatively and shared. This allows the end-user to obtain massive …

Today, with the development of grid environments and an increased number of resources
and geographical distribution, finding a resource discovery algorithm that can provide a …

Grid systems have gained remarkable importance in the last decade since resource
requirements of recent applications increased drastically. Resource discovery in grid …

Today the grid computing, intended initially for the intensive computing, open towards the
management of voluminous, heterogeneous, and distributed data on a large-scale …

Resource management is a key issue for large-scale grid environments. In particular, the
resource discovery mechanism used highly impacts on the efficiency of resource sharing …

Informatics application in biomedicine accumulates large amount of data constituting a big
data source network. These sources are highly heterogeneous, dynamic and distributed in …