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of 41
pro vyhledávání: '"Yunhong Gu"'
Autor:
Yunhong Gu, Robert L. Grossman
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 22:974-984
While the capability of computing systems has been increasing at Moore's Law, the amount of digital data has been increasing even faster. There is a growing need for systems that can manage and analyze very large data sets, preferably on shared-nothi
Autor:
Yunhong Gu, Robert L. Grossman
Publikováno v:
Future Generation Computer Systems. 26:720-728
We introduce Sector, a system that provides data storage and sharing services over high performance wide area networks. There is now a critical need for such systems, given the rapidly increasing sizes of scientific datasets. Meanwhile, developing su
Autor:
Yunhong Gu, Robert L. Grossman
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences
Cloud computing has demonstrated that processing very large datasets over commodity clusters can be done simply, given the right programming model and infrastructure. In this paper, we describe the design and implementation of the Sector storage clou
Autor:
Kazumi Kumazoe, Yunhong Gu, Ani Thakar, Alexander S. Szalay, Yoonjoo Kwon, Joe Mambretti, Michal Sabala, David Hanley, Woojin Seok, Oie Yuji, Robert L. Grossman, Minsun Lee
Publikováno v:
Future Generation Computer Systems. 22:940-948
In this paper, we describe two distributed, data intensive applications that were demonstrated at iGrid 2005 (iGrid Demonstration US 109 and iGrid Demonstration US121). One involves transporting astronomical data from the Sloan Digital Sky Survey (SD
Autor:
Cees de Laat, Robert L. Grossman, Johan Blom, Yunhong Gu, Freek Dijkstra, Xinwei Hong, Antony Antony
Publikováno v:
Future Generation Computer Systems. 21:501-513
The TCP transport protocol is currently inefficient for high speed data transfers over long distance networks with high bandwidth delay products (BDP). The challenge is to develop a protocol which is fast over networks with high bandwidth delay produ
Publikováno v:
Computer Networks. 46:411-421
Although the amount of earth-science data is growing rapidly, as is the availability of high-performance networks, our ability to access large remote earth-science data sets is still very limited. This is particularly true of networks with high bandw
Autor:
Jorge Levera, Rajiv Balachandran, Asvin Ananthanarayan, Marco Mazzucco, Xinwei Hong, Yunhong Gu, Robert L. Grossman
Publikováno v:
Parallel Computing. 29:1363-1379
We describe high performance data webs for earth science data, which are designed for interactively analyzing small to moderate size remote data sets, as well as mining distributed data sets. Achieving high performance required developing specialized
Autor:
Yunhong Gu, Marco Mazzucco, Jorge Levera, Xinwei Hong, Robert L. Grossman, Don Hamelburg, Jeremy Weinberger, Joe Mambretti, Dave Hanley, Dave Lillethun
Publikováno v:
Future Generation Computer Systems. 19:945-955
We describe an architecture for remote and distributed data intensive applications that integrates optical path services, network protocol services for high performance data transport, and data services for remote data analysis and distributed data m
Publikováno v:
Advances in Civil Engineering, Vol 2023 (2023)
In order to study the seepage process of rainwater on granite residual soil cut slopes, a numerical model for seepage analysis of granite residual soil cut slopes was established. Then, by applying the rainfall boundary condition, the seepage path of
Externí odkaz:
https://doaj.org/article/2789be3712aa4f88b9ef1a4a23a88005
Publikováno v:
ICDM Workshops
Some of the major challenges in current clustering applications include: some data sets are so huge that it is difficult to load the entire data sets into memory for clustering, the data sets are often distributed over different locations for various