Cheap recovery: a key to self-managing state
ACM Transactions on Storage (TOS)
Intelligent storage: Cross-layer optimization for soft real-time workload
ACM Transactions on Storage (TOS)
Exploring high performance distributed file storage using LDPC codes
Parallel Computing
BitVault: a highly reliable distributed data retention platform
ACM SIGOPS Operating Systems Review - Systems work at Microsoft Research
Ursa minor: versatile cluster-based storage
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Low-overhead byzantine fault-tolerant storage
Proceedings of twenty-first ACM SIGOPS symposium on Operating systems principles
HYDRAstor: a Scalable Secondary Storage
FAST '09 Proccedings of the 7th conference on File and storage technologies
A cooperation mechanism in agent-based autonomic storage systems
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
An autonomic framework for enhancing the quality of data grid services
Future Generation Computer Systems
Hi-index | 0.00 |
With the continuously improving price-performance ratio, building large, smart-brick based distributed storage system becomes increasingly attractive. The challenges, however, include not only reliability, adequate cost-performance ratio, online upgrades and so on, but also the systemýs ability to achieve these goals in as self-managing and self-adaptive a manner as possible. In this paper, we describe RepStore, a system that fulfills these goals. RepStore unites the self-organizing capability of P2P DHT and the completely autonomous, per-brick tuning mechanism to derive a scalable and cost-effective architecture. RepStore employs replication for active write-intensive data and erasure-coding for the rest, strives to achieve the best cost-performance balance automatically and transparent to application, and does so in a completely distributed manner. Our preliminary evaluations reveal that the system performs much as expected, achieving performance and reliability closer to a 3-way fully replicated system with only 60% of the cost.