Self-Organizing Grid Resource Discovery

In order to build Grid resource sharing
environment, a basic problem is to locate one or more
entities (e.g. CPU, memory, OS, applications) that
match a provided description, this called resource
discovery process. This paper proposes a model of
resource discovery method that based on classifying
the nodes of resources according to their importance
to a Grid application. Each group has a leader that
collects the information of the group members. The
paper describes how this model can satisfy the
expected characteristics of any resource discovery
method. Which are: decentralization, scalability,
dynamism, supporting attribute-based discovery and
multi-attribute range queries.