Today?s complex scientific problems are programmed on high-performance computing
systems which are often developed as distributed systems. Monitoring and
measurements can help in exploitation of distributed systems, especially in the
context of performance. Collected measurements can be essential in terms of
network behavior diagnosis and understanding how the Internet works and how to
improve its operability. We have been designing a MWING scalable experimental
framework to setup and carry out distributed monitoring and measurements. MWING
is a good starting point in the design of HPC systems based on cloud computing
paradigm. The system can synchronize the activity of measurement/monitoring
autonomous software agents that collect information on various network
performance/reliability characteristics, e.g. to measure the quality of
communication services. MWING framework uses local and centralized databases.
Locally gathered data can be uploaded in one place allowing further analysis of
data, e.g. with the use of a professional data mining engine. MWING has been
used in a global experiment to observe and predict network behavior in a
real-life Internet-wide measurement distributed infrastructure.