Abstract is missing.
- Science in the cloud: lessons from three years of research projects on microsoft azureDennis Gannon, Dan Fay, Daron Green, Kenji Takeda, Wenming Yi. 1-8 [doi]
- Cloud computing data capsules for non-consumptiveuse of textsJiaan Zeng, Guangchen Ruan, Alexander Crowell, Atul Prakash, Beth Plale. 9-16 [doi]
- A cloud computing approach to on-demand and scalable cybergis analyticsPierre Riteau, Myunghwa Hwang, Anand Padmanabhan, Yizhao Gao, Yan Liu 0009, Kate Keahey, Shaowen Wang. 17-24 [doi]
- Mux-Kmeans: multiplex kmeans for clustering large-scale data setChen Li, Yanfeng Zhang, Minghai Jiao, Ge Yu. 25-32 [doi]
- Evaluating storage systems for scientific data in the cloudKetan Maheshwari, Justin M. Wozniak, Hao Yang, Daniel S. Katz, Matei Ripeanu, Victor Zavala, Michael Wilde. 33-40 [doi]
- HEP computing in a context-aware cloud environmentFrank Berghaus, Ron Desmarais, Ian Gable, Colin Leavett-Brown, Michael Paterson, Ryan Taylor, Andre Charbonneau, Randall J. Sobie. 41-46 [doi]
- Auto-scaling of virtual resources for scientific workflows on hybrid cloudsYounsun Ahn, Yoonhee Kim. 47-52 [doi]
- A distributed architecture for intra- and inter-cloud data managementIan Kelley. 53-60 [doi]