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Data replication is a key technique to achievedata availability, reliability, and optimized performance indistributed storage systems and data centers. In recent years, with the emergence of new storage devices, heterogeneousobject-based storage system, such as a storage system withthe co-existence of hard disk drives and solid state drives, have become increasingly attractive as they combine merits...
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 made in improving the agility of resizing small- and large-scale distributed storage systems. However, most of these studies focus on metadata based distributed storage systems. On the other hand, emerging consistent hashing...
Distributed storage systems play an increasingly critical role in data centers to meet the ever-increasing data growth demand. Heterogeneous storage systems, with the coexistence of hard disk drives (HDDs) and solid state drives (SSDs), can be an attractive distributed store solution due to the balanced performance, large capacity, and economic cost. The consistent hashing distribution algorithm that...
The data scale in many data centers is growing explosively with emerging applications and usages of big data technologies. Data distribution is a key issue in large-scale distributed storage systems to place petabytes of data or even beyond, among tens or hundreds of thousands of storage devices. In the meantime, heterogeneous storage systems, such as those having devices with hard disk drives (HDDs)...
Fast growing "Big Data" demands present new challenges to the traditional distributed storage system solutions. In order to support cloud-scale data centers, new types of distributed storage systems are emerging. They are designed to scale to thousands of nodes, maintain petabytes of data and be highly reliable. The support for virtual machines is also becoming essential as it is one of...
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