Abstract | ||
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Data center applications increasingly require a *geo-replicated* storage system, that is, a storage system replicated across many geographic locations. Geo-replication can reduce access latency, improve availability, and provide disaster tolerance. It turns out there are many techniques for geo-replication with different trade-offs. In this tutorial, we give an overview of these techniques, organized according to two orthogonal dimensions: level of synchrony (synchronous and asynchronous) and type of storage service (read-write, state machine, transaction). We explain the basic idea of these techniques, together with their applicability and trade-offs. |
Year | DOI | Venue |
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2013 | 10.1145/2465529.2465768 | SIGMETRICS |
Keywords | Field | DocType |
basic idea,orthogonal dimension,state machine,storage system,disaster tolerance,data center application,different trade-offs,access latency,storage service,geographic location,distributed systems,replication | Asynchronous communication,Computer science,Computer data storage,Latency (engineering),Computer network,Real-time computing,Finite-state machine,Database transaction,Data center,Distributed computing,Geo-replication | Conference |
Volume | Issue | ISSN |
41 | 1 | 0163-5999 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
1 |
Name | Order | Citations | PageRank |
---|---|---|---|
Marcos Kawazoe Aguilera | 1 | 2519 | 153.60 |