Performance Analysis of Publish/Subscribe Systems

Computer Science – Distributed – Parallel – and Cluster Computing

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

The Desktop Grid offers solutions to overcome several challenges and to answer increasingly needs of scientific computing. Its technology consists mainly in exploiting resources, geographically dispersed, to treat complex applications needing big power of calculation and/or important storage capacity. However, as resources number increases, the need for scalability, self-organisation, dynamic reconfigurations, decentralisation and performance becomes more and more essential. Since such properties are exhibited by P2P systems, the convergence of grid computing and P2P computing seems natural. In this context, this paper evaluates the scalability and performance of P2P tools for discovering and registering services. Three protocols are used for this purpose: Bonjour, Avahi and Free-Pastry. We have studied the behaviour of theses protocols related to two criteria: the elapsed time for registrations services and the needed time to discover new services. Our aim is to analyse these results in order to choose the best protocol we can use in order to create a decentralised middleware for desktop grid.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Performance Analysis of Publish/Subscribe Systems does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Performance Analysis of Publish/Subscribe Systems, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Performance Analysis of Publish/Subscribe Systems will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-179115

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.