As grid computation systems become larger and more complex, manually diagnosing failures in jobs becomes impractical. Recently, machine-learning techniques have been proposed to d...
As scientific workflows and the data they operate on, grow in size and complexity, the task of defining how those workflows should execute (which resources to use, where the resou...
Simon Miles, Ewa Deelman, Paul T. Groth, Karan Vah...
We propose a peer-to-peer architecture designed to overcome asymmetries in upload/download speeds that are typical in end-user dialup, broadband and cellular wireless Internet con...
Sachin Agarwal, Moshe Laifenfeld, Ari Trachtenberg...
In the present paper, we examine the problem of supporting application-specific computation within a network file server. Our objectives are (i) to introduce an easy to use yet ...
Stergios V. Anastasiadis, Rajiv Wickremesinghe, Je...
We propose a new form of software transactional memory (STM) designed to support dynamic-sized data structures, and we describe a novel non-blocking implementation. The non-blocki...
Maurice Herlihy, Victor Luchangco, Mark Moir, Will...