Cloud computing is increasingly being seen as a way to reduce infrastructure costs and add
elasticity, and is being used by a wide range of organizations. Cloud data management …

Component additions and failures are common for large-scale storage clusters in production
environments. To improve availability and manageability, we investigate and compare data …

Large-scale scientific experiments increasingly rely on geo-distributed clouds to serve
relevant data to scientists worldwide with minimal latency. State-of-the-art caching systems …

Emerging applications produce massive files that show different properties in file size,
lifetime, and read/write frequency. Existing hybrid storage systems place these files onto …

Cloud applications have increasingly come to rely on distributed storage systems that hide
the complexity of handling network and node failures behind simple, data-centric interfaces …

Modern decentralized key-value stores often replicate and distribute data via consistent
hashing for availability and scalability. Compared to replication, erasure coding is a …

This thesis presents a new design and implementation of the DHash distributed hash table
based on erasure encoding. This design is both more robust and more efficient than the …

In distributed systems, data may be correlated due to accesses from clients and the
correlation has some impact on date placement, and existing research works focus on …

Data-intensive applications need to address the problem of how to properly place the set of
data items to distributed storage nodes. Traditional techniques use the hashing method to …

Elastic distributed storage systems have been increasingly studied in recent years because
power consumption has become a major problem in data centers. Much progress has been …