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To reduce the probability of data unavailability, it is extremely important to quickly recover failed data in a (k+r, k) erasure-coded storage cluster. In practice, storage nodes in a large-scale storage system have various network bandwidths and I/O capabilities, therefore, the heterogeneity of storage systems increases along with the growing scale. Both traditional recovery scheme and Fastest recovery...
Storage systems become heterogeneous with the scale increasing, because they consist of a lot of different types of servers with various I/O capacities. Slow servers usually lead to long response time, raising a negative impact on the Quality of Service (QoS) of storage. In this paper, we exploit the heterogeneity of the storage system to shorten the user access latency. We propose a QoS-Aware Read...
The power consumption of a server is not linear to its activeness, i.e., a server with 10% load may still draw as much as 60% of its peak power, therefore, a significant amount of energy has been used to keep servers active even under very light or idle loads. The resulting effect has been increased low power-effectiveness in data centers which elevate ownership costs and put more pressure on rack...
Redundant Arrays of Independent Disks RAID is a popular storage architecture with high performance and reliability. RAID-6 with a higher level of reliability based on MDS (Maximum Distance Separable) code is well studied, for its optimal storage efficiency. RAID-6 could offer continuous services in degraded mode, during the period of online failure recovery. However, the online recovery would bring...
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