Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure

Clouds are emerging as an important class of distributed computational resources and are quickly becoming an integral part of production computational infrastructures. An important but oft-neglected question is, what new applications and application capabilities can be supported by clouds as part of a hybrid computational platform? In this paper we use the ensemble Kalman-filter based dynamic application workflow and investigate how clouds can be effectively used as an accelerator to address changing computational requirements as well as changing Quality of Service constraints (e.g., deadlines). Furthermore, we explore how application and system-level adaptivity can be used to improve application performance and achieve a more effective utilization of the hybrid platform. Specifically, we adapt the ensemble Kalman-filter based application formulation (serial versus parallel, different solvers etc.) so as to execute efficiently on a range of different infrastructure (from High Performa...

• Type: Conference
• Year: 2010
• Where: HPDC
• Authors: Hyunjoo Kim, Yaakoub El Khamra, Shantenu Jha, Manish Parashar
• Keywords: Distributed And Parallel Computing, Ensemble Kalman-filter, HPDC 2010, Hybrid Computational Platform, Production Computational Infrastructures