Gaining insight in the analysis of performance for Resource Monitoring and Discovery in Grids

GONZÁLES MÁRQUEZ, DAVID; FERNÁNDEZ SLEZAK, DIEGO; TURJANSKI, PABLO; MOCSKOS, ESTEBAN

Cordoba

Congreso; JAIIO 2011, Simposio HPC; 2011

Nowadays, many \acf{HPC} centers with thousands of cores are available. The interconnection and synchronization between them is one of objectives of Grid Computing, as all these centers tend to form a global shared computing facility. In such scenario, dynamics of resource information is increasingly complex, and may become almost impossible to be captured using a static hierarchy. One of the key features needed in Grid Computing is to maintain up-to-date information about resources and services. Two important parameters that must be selected are the information refresh and expiration times. In this work, \texttt{R} is presented for studying the relation between these important parameters in three policies: Hierarchical, Super-peer and Random. The results reveal an interesting relation between expiration and refresh times in all studied policies. The study of this new parameter is essential to provide a deeper knowledge in new information distribution policies and in the configuration or deployment of existing ones.