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Titlebook: Big Data Benchmarks, Performance Optimization, and Emerging Hardware; 4th and 5th Workshop Jianfeng Zhan,Rui Han,Chuliang Weng Conference p

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發(fā)表于 2025-3-28 17:01:28 | 只看該作者
42#
發(fā)表于 2025-3-28 19:40:27 | 只看該作者
43#
發(fā)表于 2025-3-29 01:47:14 | 只看該作者
44#
發(fā)表于 2025-3-29 03:15:41 | 只看該作者
Undergraduate Topics in Computer Scienceprotocols are highly optimized for high throughput on very large datasets, multi-streams, high availability, low latency and efficient parallel I/O. The purpose of this paper is to describe how we have adapted a generic protocol, the Hyper Text Transport Protocol (HTTP) to make it a competitive alte
45#
發(fā)表于 2025-3-29 08:06:51 | 只看該作者
Jianfeng Zhan,Rui Han,Chuliang WengIncludes supplementary material:
46#
發(fā)表于 2025-3-29 14:25:14 | 只看該作者
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/185635.jpg
47#
發(fā)表于 2025-3-29 17:41:10 | 只看該作者
https://doi.org/10.1007/978-3-319-13021-7BigBench; MapReduce-based systems; architectures; cloud computing; data management; data warehouse; databa
48#
發(fā)表于 2025-3-29 22:44:15 | 只看該作者
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發(fā)表于 2025-3-29 23:59:19 | 只看該作者
Big Data Benchmarks, Performance Optimization, and Emerging Hardware978-3-319-13021-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
50#
發(fā)表于 2025-3-30 05:17:12 | 只看該作者
On Big Data Benchmarkinga systems. We then present the methodology on big data benchmarking designed to address these challenges. Next, the state-of-the-art are summarized and compared, following by our vision for future research directions.
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