Introducing PRECIP: An API for Managing Repeatable Experiments in the Cloud
暂无分享,去创建一个
Ewa Deelman | Gideon Juve | Maciej Malawski | Mats Rynge | Rafael Ferreira da Silva | Sepideh Azarnoosh | Michal Niec | M. Rynge | E. Deelman | G. Juve | M. Malawski | Sepideh Azarnoosh | Michal Niec
[1] Lavanya Ramakrishnan,et al. Performance evaluation of a MongoDB and hadoop platform for scientific data analysis , 2013, Science Cloud '13.
[2] Ewa Deelman,et al. Wrangler: virtual cluster provisioning for the cloud , 2011, HPDC '11.
[3] Miron Livny,et al. Zoo: a desktop experiment management environment , 1997, SIGMOD '97.
[4] Tao Li,et al. ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand Provisioning , 2011, 2011 IEEE 11th International Conference on Data Mining.
[5] Richard Wolski,et al. The Eucalyptus Open-Source Cloud-Computing System , 2009, 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid.
[6] Etzard Stolte,et al. B-Fabric: A Data and Application Integration Framework for Life Sciences Research , 2007, DILS.
[7] Marian Bubak,et al. Component Approach to Computational Applications on Clouds , 2011, ICCS.
[8] Warren Smith,et al. Design of the FutureGrid experiment management framework , 2010, 2010 Gateway Computing Environments Workshop (GCE).
[9] Sanjay Ghemawat,et al. MapReduce: Simplified Data Processing on Large Clusters , 2004, OSDI.
[10] William E. Johnston,et al. The NetLogger methodology for high performance distributed systems performance analysis , 1998, Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244).
[11] Tom White,et al. Hadoop: The Definitive Guide , 2009 .