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Data replication has been widely used as a mean of increasing the data availability of large-scale cloud storage systems where failures are normal. Aiming to provide cost-effective availability, and improve performance and load-balancing of cloud storage, this paper presents a cost-effective dynamic replication management scheme referred to as CDRM. A novel model is proposed to capture the relationship...
Deduplication has been widely used in disk-based secondary storage systems to improve space efficiency. However, there are two challenges facing scalable high-throughput deduplication storage. The first is the duplicate-lookup disk bottleneck due to the large size of data index that usually exceeds the available RAM space, which limits the deduplication throughput. The second is the storage node island...
Similarity search has been widely studied in peer-to-peer environments. In this paper, we propose the Bounded Locality Sensitive Hashing (Bounded LSH) method for similarity search in P2P file systems. Compared to the basic Locality Sensitive Hashing (LSH), Bounded LSH makes improvement on the space saving and quick query response in the similarity search, especially for high-dimensional data objects...
Storage consolidation as a perspective paradigm inevitably leads to the extensive installations of shared storage servers in product environments. However, owing to the dynamics of both workloads and storage systems, it is pragmatic only if each workload accessing common storage servers can surely possess a specified minimum share of system resources even when competing with other workloads and consequently...
Load balancing is a key issue in large-scale object-based storage systems. Many data replication and migration algorithms have been proposed for load balancing in distributed systems. However, the two operations, data replication and migration, are studied separately. An adaptive load balancing algorithm is presented in this paper, which combines replication and migration in a uniform model. Furthermore,...
Load balancing is used to improve the search or other computing performance. Achieving balanced load is a costly processes whatever methods taken, static or dynamic. How to make an acceptable tradeoff in designing is a challenging issue. Most of previous methods focus only on either the application server tier or the storage tier. So the load balancing of integrating the application server tier and...
It obviously gets limited advantage in massive storage system that all the management works are done by the servers, such as file server and metadata server of traditional storage area network (SAN). Moreover, storage device with deficient intelligence leads to lack of supporting local policy and does not scale well in performance and functionality when the number of storage device is added. At the...
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