Towards scalable array-oriented active storage: the pyramid approach.

The recent explosion in data sizes manipulated by distributed scientific applications has prompted the need to develop specialized storage systems capable to deal with specific access patterns in a scalable fashion. In this context, a large class of applications focuses on parallel array processing: small parts of huge multi-dimensional arrays are concurrently accessed by a large number of clients, both for reading and writing. A specialized storage system that deals with such an access pattern faces several challenges at the level of data/metadata management. We introduce Pyramid, an active arrayoriented storage system that addresses these challenges. Experimental evaluation demonstrates substantial scalability improvements brought by Pyramid with respect to state-ofart approaches both in weak and strong scaling scenarios, with gains of 100% to 150%.