Cache

Operating system

Distributed data store

Computer science

Cloud computing

Cloud storage

Decoding methods

Scalability

Telecommunications

Distributed computing

Latency (audio)

Server

Erasure code

Computer network

IEEE Transactions on Cloud Computing

Erasure codes have been widely used to enhance data resiliency with low storage overheads. However, in geo-distributed cloud storage systems, erasure codes may incur high service latency as they require end users to access remote storage nodes to retrieve data. An elegant solution to achieving low latency is to deploy caching services at the edge servers close to end users. In this paper, we propose adaptive and scalable caching schemes to achieve low latency in the cloud-edge storage system. Based on the measured data popularity and network latencies in real time, an adaptive content replacement scheme is proposed to update caching decisions upon the arrival of requests. Theoretical analysis shows that the reduced data access latency of the replacement scheme is at least 50% of the maximum reducible latency. With the low computation complexity of our design, nearly no extra overheads will be introduced when handling intensive data flows. For further performance improvements without sacrificing its efficiency...

Adaptive and Scalable Caching With Erasure Codes in Distributed Cloud-Edge Storage Systems