Abstract is missing.
- Science as a service: how on-demand computing can accelerate discoveryIan T. Foster, Ravi K. Madduri. 1-2 [doi]
- To cloud my big data or not to?: musings at the intersection of big data, intense computing and cloudsRadu Sion. 3-4 [doi]
- Dimensioning the virtual cluster for parallel scientific workflows in cloudsDaniel de Oliveira, Vitor Viana, Eduardo S. Ogasawara, Kary A. C. S. Ocaña, Marta Mattoso. 5-12 [doi]
- Performance evaluation of a MongoDB and hadoop platform for scientific data analysisElif Dede, Madhusudhan Govindaraju, Daniel K. Gunter, Shane Richard Canon, Lavanya Ramakrishnan. 13-20 [doi]
- Rebalancing in a multi-cloud environmentDmitry Duplyakin, Paul Marshall, Kate Keahey, Henry M. Tufo, Ali Alzabarah. 21-28 [doi]
- StorkCloud: data transfer scheduling and optimization as a serviceTevfik Kosar, Engin Arslan, Brandon Ross, Bing Zhang. 29-36 [doi]
- VIDAS: object-based virtualized data sharing for high performance storage I/OPablo Llopis, Javier García Blas, Florin Isaila, Jesús Carretero. 37-44 [doi]
- HTC scientific computing in a distributed cloud environmentRandall J. Sobie, Ashok Agarwal, Ian Gable, Colin Leavett-Brown, Michael Paterson, Ryan Taylor, Andre Charbonneau, Roger Impey, Wayne Podiama. 45-52 [doi]
- High performance risk aggregation: addressing the data processing challenge the hadoop mapreduce wayZhimin Yao, Blesson Varghese, Andrew Rau-Chaplin. 53-60 [doi]