Queue - Enterprise Distributed Computing
On dependability of corporate grids
Ubiquity
netWorker - Cloud computing: PC functions move onto the web
A break in the clouds: towards a cloud definition
ACM SIGCOMM Computer Communication Review
The "Any-Schedulability" Criterion for Providing QoS Guarantees through Advance Reservation Requests
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
A Survey of Cloud Platforms and Their Future
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
IBM research division cloud computing initiative
IBM Journal of Research and Development
Clouds & grids: a network and simulation perspective
Proceedings of the 14th Communications and Networking Symposium
A Decision Table for the Cloud Computing Decision in Small Business
Information Resources Management Journal
Semantic description of scholar-oriented social network cloud
The Journal of Supercomputing
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Computational grids are very large-scale aggregates of communication and computation resources enabling new types of applications and bringing several benefits of economy-of-scale. The first computational grids were established in academic environments during the previous decade, and today are making inroads into the realm of corporate and enterprise computing. Very recently, we observe the emergence of cloud computing as a new potential super structure for corporate, enterprise and academic computing. While cloud computing shares the same original vision of grid computing articulated in the 1990s by Foster, Kesselman and others, there are significant differences. In this paper, we first briefly outline the architecture, technologies and standards of computational grids. We then point at some of notable examples of academic use of grids and sketch the future of research in grids. In the third section, we draw some architectural lines of cloud computing, hint at the design and technology choices and indicate some future challenges. In conclusion, we claim that academic computing clouds might appear soon, supporting the emergence of Science 2.0 activities, some of which we list shortly.