1 research outputs found
LEGOStore: A Linearizable Geo-Distributed Store Combining Replication and Erasure Coding
We design and implement LEGOStore, an erasure coding (EC) based linearizable
data store over geo-distributed public cloud data centers (DCs). For such a
data store, the confluence of the following factors opens up opportunities for
EC to be latency-competitive with replication: (a) the necessity of
communicating with remote DCs to tolerate entire DC failures and implement
linearizability; and (b) the emergence of DCs near most large population
centers. LEGOStore employs an optimization framework that, for a given object,
carefully chooses among replication and EC, as well as among various DC
placements to minimize overall costs. To handle workload dynamism, LEGOStore
employs a novel agile reconfiguration protocol. Our evaluation using a
LEGOStore prototype spanning 9 Google Cloud Platform DCs demonstrates the
efficacy of our ideas. We observe cost savings ranging from moderate (5-20\%)
to significant (60\%) over baselines representing the state of the art while
meeting tail latency SLOs. Our reconfiguration protocol is able to transition
key placements in 3 to 4 inter-DC RTTs ( 1s in our experiments), allowing
for agile adaptation to dynamic conditions