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Gemmill, Jill
Clemson University
Clemson, South Carolina
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Date Reviewed  
- 8 of 8 reviews

  Intelligent systems for geosciences: an essential research agenda
Gil Y., Pierce S., Babaie H., Banerjee A., Borne K., Bust G., Cheatham M., Ebert-Uphoff I., Gomes C., Hill M., Horel J., Hsu L., Kinter J., Knoblock C., Krum D., Kumar V., Lermusiaux P., Liu Y., North C., Pankratius V., Peters S., Plale B., Pope A., Ravela S., Restrepo J., Ridley A., Samet H., Shekhar S. Communications of the ACM 62(1): 76-84, 2019.  Type: Article

This article, by 28 authors from as many institutions, announces the creation of, and research agenda for, a new National Science Foundation (NSF)-funded Research Coordination Network on Intelligent Systems for Geosciences. The goal of...

Mar 28 2019  
  Dataset popularity prediction for caching of CMS big data
Meoni M., Perego R., Tonellotto N. Journal of Grid Computing 16(2): 211-228, 2018.  Type: Article

The Compact Muon Solenoid (CMS) experiment at the European Organization for Nuclear Research (CERN) is a collaboration between thousands of physicists using a distributed computing and storage infrastructure consisting of 70 sites. His...

Dec 24 2018  
  Computational science and HPC education for graduate students
Antonov A., Popova N., Voevodin V. Journal of Parallel and Distributed Computing 118(P1): 157-165, 2018.  Type: Article

This paper describes the “Supercomputing Simulation and Technologies” master’s degree course, taken during one’s final year in the Faculty of Computational Mathematics and Cybernetics program at ...

Aug 15 2018  
  Unsupervised document structure analysis of digital scientific articles
Klampfl S., Granitzer M., Jack K., Kern R. International Journal on Digital Libraries 14(3-4): 83-99, 2014.  Type: Article

A fully automated approach to analyze PDF scientific articles and parse them into correctly ordered sections and extra metadata is described in this paper. The result is the text, in correct order, from the body of the work, along with...

Apr 29 2015  
  Cost-aware cloud bursting for enterprise applications
Guo T., Sharma U., Shenoy P., Wood T., Sahu S. ACM Transactions on Internet Technology 13(3): 1-24, 2014.  Type: Article

Seagull, a system to optimally manage cloud bursting, is described in this paper; optimization is with respect to the number and size of virtual machine (VM) images and total data transfer. A performance evaluation of Seagull is also p...

Oct 6 2014  
  A survey on cloud interoperability: taxonomies, standards, and practice
Zhang Z., Wu C., Cheung D. ACM SIGMETRICS Performance Evaluation Review 40(4): 13-22, 2013.  Type: Article

A comprehensive survey of interoperability strategies for various infrastructure as a service (IaaS) cloud platforms is conducted in this paper. The authors define cloud interoperability, and discuss existing taxonomies, standards, and...

Apr 14 2014  
  Enhancing federated cloud management with an integrated service monitoring approach
Kertesz A., Kecskemeti G., Oriol M., Kotcauer P., Acs S., Rodríguez M., Mercè O., Marosi A., Marco J., Franch X. Journal of Grid Computing 11(4): 699-720, 2013.  Type: Article

The authors of this paper introduce a new minimal metric monitoring service (M3S) to evaluate cloud provider services, in support of optimal use of federated cloud resources....

Feb 25 2014  
  Addressing response time of cloud-based mobile applications
Dey S., Liu Y., Wang S., Lu Y.  MobileCloud 2013 (Proceedings of the 1st International Workshop on Mobile Cloud Computing & Networking, Bangalore, India, Jul 29, 2013) 3-10, 2013.  Type: Proceedings

Response time, as defined in this paper, refers to the round-trip time (RTT) for mobile clients connected to cloud services and carrier networks. The authors consider the challenge of supporting two specific mobile use cases: (1) mobil...

Sep 17 2013  
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