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Impulse Technologies
                                      Beacons U to World of technology
        044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in
        Scalable Real-Time Monitoring for Distributed Applications
   Abstract
   In order to assess service quality of a networked application (such as a streaming
   session), distributed monitoring servers need to continuously collect application-
   specific performance metrics in real time. Much of the previous work to address
   this is to use distributed aggregation tree (DAT) rooted at each monitor. However,
   this approach often leads to high monitoring delay and network stress. In this
   paper, we study a highly scalable monitoring network for distributed applications.
   In the network, there are distributed monitors collecting application performance in
   two steps: first, client applications report their performance to some proxies by
   means of a client overlay, and then the proxies report the performance to the
   distributed monitors using another proxy overlay. We first formulate the problem
   to construct overlays minimizing monitoring delay. The problem is shown to be
   NP-hard. Then, we present a simple, efficient, and scalable monitoring algorithm
   called SMon, which continuously reduces network diameter in real time in a
   distributed manner. Through simulations and actual experimental measurements
   with implementation, we show that SMon achieves low monitoring delay, network
   stress, and protocol overhead for distributed applications.




  Your Own Ideas or Any project from any company can be Implemented
at Better price (All Projects can be done in Java or DotNet whichever the student wants)
                                                                                          1

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5

  • 1. Impulse Technologies Beacons U to World of technology 044-42133143, 98401 03301,9841091117 ieeeprojects@yahoo.com www.impulse.net.in Scalable Real-Time Monitoring for Distributed Applications Abstract In order to assess service quality of a networked application (such as a streaming session), distributed monitoring servers need to continuously collect application- specific performance metrics in real time. Much of the previous work to address this is to use distributed aggregation tree (DAT) rooted at each monitor. However, this approach often leads to high monitoring delay and network stress. In this paper, we study a highly scalable monitoring network for distributed applications. In the network, there are distributed monitors collecting application performance in two steps: first, client applications report their performance to some proxies by means of a client overlay, and then the proxies report the performance to the distributed monitors using another proxy overlay. We first formulate the problem to construct overlays minimizing monitoring delay. The problem is shown to be NP-hard. Then, we present a simple, efficient, and scalable monitoring algorithm called SMon, which continuously reduces network diameter in real time in a distributed manner. Through simulations and actual experimental measurements with implementation, we show that SMon achieves low monitoring delay, network stress, and protocol overhead for distributed applications. Your Own Ideas or Any project from any company can be Implemented at Better price (All Projects can be done in Java or DotNet whichever the student wants) 1