GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version)
সংরক্ষণ করুন:
| প্রকাশিত: | arXiv.org (Dec 5, 2024), p. n/a |
|---|---|
| প্রধান লেখক: | |
| অন্যান্য লেখক: | , , , , , , , |
| প্রকাশিত: |
Cornell University Library, arXiv.org
|
| বিষয়গুলি: | |
| অনলাইন ব্যবহার করুন: | Citation/Abstract Full text outside of ProQuest |
| ট্যাগগুলো: |
কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!
|
MARC
| LEADER | 00000nab a2200000uu 4500 | ||
|---|---|---|---|
| 001 | 3138985300 | ||
| 003 | UK-CbPIL | ||
| 022 | |a 2331-8422 | ||
| 035 | |a 3138985300 | ||
| 045 | 0 | |b d20241205 | |
| 100 | 1 | |a Zhuang, Qiyu | |
| 245 | 1 | |a GeoTP: Latency-aware Geo-Distributed Transaction Processing in Database Middlewares (Extended Version) | |
| 260 | |b Cornell University Library, arXiv.org |c Dec 5, 2024 | ||
| 513 | |a Working Paper | ||
| 520 | 3 | |a The widespread adoption of database middleware for supporting distributed transaction processing is prevalent in numerous applications, with heterogeneous data sources deployed across national and international boundaries. However, transaction processing performance significantly drops due to the high network latency between the middleware and data sources and the long lock contention span, where transactions may be blocked while waiting for the locks held by concurrent transactions. In this paper, we propose GeoTP, a latency-aware geo-distributed transaction processing approach in database middlewares. GeoTP incorporates three key techniques to enhance geo-distributed transaction performance. First, we propose a decentralized prepare mechanism, which diminishes the requirement of network round trips for distributed transactions. Second, we design a latency-aware scheduler to minimize the lock contention span by strategically postponing the lock acquisition time point. Third, heuristic optimizations are proposed for the scheduler to reduce the lock contention span further. We implemented GeoTP on Apache Shardingsphere, a state-of-the-art middleware, and extended it into Apache ScalarDB. Experimental results on YCSB and TPC-C demonstrate that GeoTP achieves up to 17.7x performance improvement over Shardingsphere. | |
| 653 | |a Transaction processing | ||
| 653 | |a Middleware | ||
| 653 | |a Databases | ||
| 653 | |a Data sources | ||
| 653 | |a Network latency | ||
| 700 | 1 | |a Shi, Xinyue | |
| 700 | 1 | |a Liu, Shuang | |
| 700 | 1 | |a Lu, Wei | |
| 700 | 1 | |a Zhao, Zhanhao | |
| 700 | 1 | |a Chen, Yuxing | |
| 700 | 1 | |a Li, Tong | |
| 700 | 1 | |a Pan, Anqun | |
| 700 | 1 | |a Du, Xiaoyong | |
| 773 | 0 | |t arXiv.org |g (Dec 5, 2024), p. n/a | |
| 786 | 0 | |d ProQuest |t Engineering Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3138985300/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch |
| 856 | 4 | 0 | |3 Full text outside of ProQuest |u http://arxiv.org/abs/2412.01213 |