Abstract | ||
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Partial data replication protocols for transactional distributed systems present a high scalability potential, but suffer from a shortcoming of the utmost importance: data access locality. In a partial data replication setting, performance can be boosted by serving transactional read operations locally and preventing the expensive overhead of inter-node communication. In this paper we address this concern by proposing a generic caching mechanism directed towards multi-version partial data replication protocols and illustrate its application in a specific protocol, namely SCORe. Experimental results corroborate the effectiveness of the proposed caching mechanism in read-dominated workloads, where it clearly improves the system's overall throughput.
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Year | DOI | Venue |
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2015 | 10.1145/2695664.2695851 | SAC 2015: Symposium on Applied Computing
Salamanca
Spain
April, 2015 |
Keywords | Field | DocType |
Cache, Multi-version, Partial Data Replication, Concurrency Control, Distributed Systems | Locality,Replication (computing),Concurrency control,Cache,Computer science,Parallel computing,Boosting (machine learning),Throughput,Data access,Scalability,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-4503-3196-8 | 0 | 0.34 |
References | Authors | |
19 | 3 |
Name | Order | Citations | PageRank |
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João A. Silva | 1 | 3 | 3.43 |
João Lourenço | 2 | 93 | 13.20 |
Hervé Paulino | 3 | 73 | 16.14 |