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检索条件"主题词=In-Memory Distributed Computing"
5 条 记 录,以下是1-10 订阅
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SciSpark: Applying in-memory distributed computing to Weather Event Detection and Tracking  3
SciSpark: Applying In-memory Distributed Computing to Weathe...
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IEEE International Conference on Big Data
作者: Palamuttam, Rahul Mogrovejo, Renato Marroquin Mattmann, Chris Wilson, Brian Whitehall, Kim Verma, Rishi McGibbney, Lewis Ramirez, Paul CALTECH NASA Jet Prop Lab Pasadena CA 91125 USA Univ So Calif Dept Comp Sci Los Angeles CA 90089 USA Univ Calif San Diego La Jolla CA USA ETH Univ Zurich Switzerland
In this paper we present SciSpark, a Big Data framework that extends Apache (TM) Spark for scaling scientific computations. The paper details the initial architecture and design of SciSpark. We demonstrate how SciSpar... 详细信息
来源: 评论
High Performance distributed In-memory Architectures For Trade Surveillance System  17
High Performance Distributed In-Memory Architectures For Tra...
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17th Annual International Symposium on Parallel and distributed computing (ISPDC)
作者: Bansod, Rishikesh Kadarkar, Sanket Virk, Rupinder Raval, Mehul Rashinkar, Rushikesh Nambiar, Manoj TCS Res Bombay Maharashtra India TCS Bombay Maharashtra India
With rapid growth of world economy, the user activity in the capital markets is increased. This results into large number of transactional activities in trading systems. Hence, the trade surveillance system with low l... 详细信息
来源: 评论
SciSpark: Highly Interactive In-memory Science Data Analytics  4
SciSpark: Highly Interactive In-Memory Science Data Analytic...
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4th IEEE International Conference on Big Data (Big Data)
作者: Wilson, Brian Palamuttam, Rahul Whitehall, Kim Mattmann, Chris Goodman, Alex Boustani, Maziyar Shah, Sujen Zimdars, Paul Ramirez, Paul CALTECH Jet Prop Lab NASA Pasadena CA 91109 USA Univ Southern Calif Dept Comp Sci Los Angeles CA 90089 USA Stanford Univ Palo Alto CA 94304 USA
We present further work on SciSpark, a Big Data framework that extends Apache Spark's in-memory parallel computing to scale scientific computations. SciSpark's current architecture and design includes: time an... 详细信息
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Poster: Low Latency, High Throughput Trade Surveillance System Using In-memory Data Grid  12
Poster: Low Latency, High Throughput Trade Surveillance Syst...
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12th ACM International Conference on distributed and Event-Based Systems (DEBS)
作者: Bansod, Rishikesh Virk, Rupinder Raval, Mehul TCS Res Mumbai Maharashtra India TCS Mumbai Maharashtra India
Trade surveillance is an important concern in recent trading engines to detect and prevent fraudulent trades at earliest. In traditional trading platforms, to achieve high throughput and low latency requirements focus... 详细信息
来源: 评论
Low Latency, High Throughput Trade Surveillance System Using In-memory Data Grid  18
Low Latency, High Throughput Trade Surveillance System Using...
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Proceedings of the 12th ACM International Conference on distributed and Event-based Systems
作者: Rishikesh Bansod Rupinder Virk Mehul Raval TCS Research Mumbai India TCS Mumbai India
Trade surveillance is an important concern in recent trading engines to detect and prevent fraudulent trades at earliest. In traditional trading platforms, to achieve high throughput and low latency requirements focus... 详细信息
来源: 评论