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- Publisher Website: 10.1007/978-3-031-21395-3_27
- Scopus: eid_2-s2.0-85144478660
- WOS: WOS:000937029400027
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Conference Paper: WALOR: Workload-Driven Adaptive Layout Optimization of Raft Groups for Heterogeneous Distributed Key-Value Stores
| Title | WALOR: Workload-Driven Adaptive Layout Optimization of Raft Groups for Heterogeneous Distributed Key-Value Stores |
|---|---|
| Authors | |
| Issue Date | 2022 |
| Citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022, v. 13615 LNCS, p. 290-301 How to Cite? |
| Abstract | In a heterogeneous cluster based on the Raft protocol, in order to solve the problem of slow performance caused by the leader on a slow node, someone proposed ALOR. However, the leader distribution of ALOR is not optimal. In this paper, we propose Workload-driven Adaptive Layout Optimization of Raft groups (WALOR), which changes the leader distribution of ALOR to promote the performance further by more fitting the read-write request ratio of the system’s workload. Our experiments on an actual heterogeneous cluster show that, on average, WALOR improves throughput by 82.96% and 32.42% compared to the even distribution (ED) solution and ALOR, respectively. |
| Persistent Identifier | http://hdl.handle.net/10722/330886 |
| ISSN | 2020 SCImago Journal Rankings: 0.249 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Wang, Yangyang | - |
| dc.contributor.author | Chai, Yunpeng | - |
| dc.contributor.author | Zhang, Qingpeng | - |
| dc.date.accessioned | 2023-09-05T12:15:35Z | - |
| dc.date.available | 2023-09-05T12:15:35Z | - |
| dc.date.issued | 2022 | - |
| dc.identifier.citation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2022, v. 13615 LNCS, p. 290-301 | - |
| dc.identifier.issn | 0302-9743 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/330886 | - |
| dc.description.abstract | In a heterogeneous cluster based on the Raft protocol, in order to solve the problem of slow performance caused by the leader on a slow node, someone proposed ALOR. However, the leader distribution of ALOR is not optimal. In this paper, we propose Workload-driven Adaptive Layout Optimization of Raft groups (WALOR), which changes the leader distribution of ALOR to promote the performance further by more fitting the read-write request ratio of the system’s workload. Our experiments on an actual heterogeneous cluster show that, on average, WALOR improves throughput by 82.96% and 32.42% compared to the even distribution (ED) solution and ALOR, respectively. | - |
| dc.language | eng | - |
| dc.relation.ispartof | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
| dc.title | WALOR: Workload-Driven Adaptive Layout Optimization of Raft Groups for Heterogeneous Distributed Key-Value Stores | - |
| dc.type | Conference_Paper | - |
| dc.description.nature | link_to_subscribed_fulltext | - |
| dc.identifier.doi | 10.1007/978-3-031-21395-3_27 | - |
| dc.identifier.scopus | eid_2-s2.0-85144478660 | - |
| dc.identifier.volume | 13615 LNCS | - |
| dc.identifier.spage | 290 | - |
| dc.identifier.epage | 301 | - |
| dc.identifier.eissn | 1611-3349 | - |
| dc.identifier.isi | WOS:000937029400027 | - |