I
Ioan Raicu
Researcher at Illinois Institute of Technology
Publications - 144
Citations - 8771
Ioan Raicu is an academic researcher from Illinois Institute of Technology. The author has contributed to research in topics: Scalability & Cloud computing. The author has an hindex of 40, co-authored 141 publications receiving 8460 citations. Previous affiliations of Ioan Raicu include Wayne State University & Northwestern University.
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Proceedings ArticleDOI
Cloud Computing and Grid Computing 360-Degree Compared
TL;DR: In this article, the authors compare and contrast cloud computing with grid computing from various angles and give insights into the essential characteristics of both the two technologies, and compare the advantages of grid computing and cloud computing.
Proceedings ArticleDOI
The Globus Striped GridFTP Framework and Server
William Allcock,John Bresnahan,Rajkumar Kettimuthu,Michael Link,Catalin Dumitrescu,Ioan Raicu,Ian Foster +6 more
TL;DR: It is argued that this combination of performance and modular structure make the Globus GridFTP framework both a good foundation on which to build tools and applications, and a unique testbed for the study of innovative data management techniques and network protocols.
Proceedings ArticleDOI
Swift: Fast, Reliable, Loosely Coupled Parallel Computation
Yong Zhao,Mihael Hategan,Ben Clifford,Ian Foster,G. von Laszewski,Veronika Nefedova,Ioan Raicu,T. Stef-Praun,Michael Wilde +8 more
TL;DR: Swift adopts and adapts ideas first explored in the GriPhyN virtual data system, improving on that system in many regards and describes application experiences and performance experiments that quantify the cost of Swift operations.
Proceedings ArticleDOI
Falkon: a Fast and Light-weight tasK executiON framework
TL;DR: Falkon's integration of multi-level scheduling and streamlined dispatchers delivers performance not provided by any other system, and large-scale astronomy and medical applications executed under Falkon by the Swift parallel programming system achieve up to 90% reduction in end-to-end run time.
Proceedings ArticleDOI
Many-task computing for grids and supercomputers
Ioan Raicu,Ian Foster,Yong Zhao +2 more
TL;DR: Many-task computing aims to bridge the gap between two computing paradigms, high throughput computing and high performance computing, drawing attention to the many computations that are heterogeneous but not ldquohappilyrdquo parallel.