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Geo-replicated storage with scalable deferred update replication

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Many current online services are deployed over geographically distributed sites (i.e., datacenters). Such services call for geo-replicated storage, that is, storage distributed and replicated among many sites. Geographical distribution and replication can improve locality and availability of a service. Locality is achieved by moving data closer to the users. High availability is attained by replicating data in multiple servers and sites. In this talk I will consider a class of highly available storage systems based on deferred update replication. Deferred update replication ensures strong consistency and is at the core of several highly available storage systems. I will first show how the performance of deferred update replication can be made to scale to dozens and potentially hundreds of nodes. I will then consider the implications of the approach on user-perceived latency in geographically distributed environments and propose solutions. The talk will conclude with some open problems in the design of strongly consistent storage systems.

This talk is part of the Microsoft Research Cambridge, public talks series.

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