چکیده (انگلیسی):

P2P systems are envisioned to play a greater role in collaborative applications. P2P environments remove
the challenging task of using servers for information sharing. Emerging collaborative P2P systems require
discovery and utilization of multi-attribute, distributed and dynamic group of resources to achieve greater
tasks beyond conventional file and processor cycle sharing. The process of selection of a peer for
collaborative work therefore plays a significant role in accomplishing the task. Collaborative P2P systems
use a group of diverse resources like hardware, software, services and data to accomplish the task or
application. Hence, ranking of peers based on multiple heterogeneous attributes plays a significant role in
enabling the selection of the right peers for collaboration. This study proposes the use of Analytic Hierarchy
Process (AHP) for ranking the peers for selection. The relative importance of the attributes has to be
decided based on the P2P application that is being collaborated. AHP provides the mathematical technique
for decision making for ranking the peers for collaborative activity. The application of AHP for peer
ranking has been illustrated with the use of examples. The system has been implemented and tested using
Planet Lab dataset. The selection of right peer using this method has improved the process of multi attribute
decision making and an optimal decision has been obtained by mapping the requirements to the available
resources. The number of criteria used for P2P collaboration has been varied and the results observed shows
that the decision making time increases proportional to the number of criteria.