Zobrazeno 1 - 10
of 83
pro vyhledávání: '"Ioan Raicu"'
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 1, Iss 2, Pp 163-185 (2005)
Externí odkaz:
https://doaj.org/article/04708010c8704049910597e58450c999
Publikováno v:
Concurrency and Computation: Practice and Experience. 34
Publikováno v:
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid).
Publikováno v:
MASCOTS
Autor:
Yong Zhao, Ioan Raicu, Steven Timm, Tiago Pais Pitta de Lacerda Ruivo, Ketan Maheshwari, Jesus Hernandez Martin, Gabriele Garzoglio, Tonglin Li, Kevin Brandstatter, Iman Sadooghi
Publikováno v:
IEEE Transactions on Cloud Computing. 5:358-371
Commercial clouds bring a great opportunity to the scientific computing area. Scientific applications usually require significant resources, however not all scientists have access to sufficient high-end computing systems. Cloud computing has gained t
Publikováno v:
IPDPS
The scalability of systems such as Hive and Spark SQL that are built on top of big data platforms have enabled query processing over very large data sets. However, the per-node performance of these systems is typically low compared to traditional rel
Publikováno v:
Journal of Parallel and Distributed Computing. 96:27-37
Although distributed key–value store is becoming increasingly popular in compensating the conventional distributed file systems, it is often criticized due to its costly full-size replication for high availability that causes high I/O overhead. Thi
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 27:1824-1837
The state-of-the-art storage architecture of high-performance computing systems was designed decades ago, and with today's scale and level of concurrency, it is showing significant limitations. Our recent work proposed a new architecture to address t
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 27:1070-1084
Owing to the extreme parallelism and the high component failure rates of tomorrow's exascale, high-performance computing (HPC) system software will need to be scalable, failure-resistant, and adaptive for sustained system operation and full system ut
Publikováno v:
IEEE Transactions on Services Computing. 9:96-109
Data compression could ameliorate the I/O pressure of data-intensive scientific applications. Unfortunately, the conventional wisdom of naively applying data compression to the file or block brings the dilemma between efficient random accesses and hi