LISA (Localhost Information Service Agent)

Grid computing has gained an increasing importance in the last years, especially in the academic environments, offering the possibility to rapidly solve complex scientific problems. The monitoring of the Grid jobs has a vital importance for analyzing the system's performance, for providing the users an appropriate feed-back, and for obtaining historical data which may be used for performance prediction. Several monitoring systems have been developed, with different strategies to collect and store the information. We shall present here a solution based on MonALISA, a distributed service for monitoring, control and global optimization of complex systems, and LISA, a component application of MonALISA which can help in optimizing other applications by means of monitoring services. The advantages of this system are, among others, flexibility, dynamic configuration, high communication performance.Comment: Proc. of the 15th International Conference on Control Systems and Computer Science (CSCS-15), Bucharest, Romania, 2005, pp. 127-130, ISBN: 973-8449-89-

A Distributed Agent Based System to Control and Coordinate Large Scale Data Transfers

We present a distributed agent based system used to monitor, configure and control complex, large scale data transfers in the Wide Area Network. The Localhost Information Service Agent (LISA) is a lightweight dynamic service that provides complete system and applications monitoring, is capable to dynamically configure system parameters and can help in optimizing distributed applications. As part of the MonALISA (Monitoring Agents in A Large Integrated Services Architecture) system, LISA is an end host agent capable to collect any type of monitoring information, to distribute them, and to take actions based on local or global decision units. The system has been used for the Bandwidth Challenge at Supercomputing 2006 to coordinate global large scale data transfers using Fast Data Transfer (FDT) application between hundreds of servers distributed on major Grid sites involved in processing High Energy Physics data for the future Large Hadron Collider experiments.Comment: Proc. of 16th International Conference on Control Systems and Computer Science (CSCS-16), pp. 64-68, Bucharest, Romania, ISBN: 978-973-718-741-

Simulation Framework for Modeling Large-Scale Distributed Systems

Simulation has become the evaluation method of choice for many areas of distributing computing research. However, most existing simulation packages have several limitations on the size and complexity of the system being modeled. Fine grained simulation of complex systems such as Grids requires high computational effort which can only be obtained by using an underlying distributed architecture. We are proposing a new distributed simulation system that has the advantage of being able to model very complex distributed systems while hiding the computational effort from the end-user.Comment: International Conference on Control Systems and Computer Science (CSCS-14), Ed. Politehnica Press, Bucharest, Romania, pp. 145-14