
Distributed storage systems store a substantial amount of data and maintain data integrity by storing redundancy in a large number of storage nodes. When storage nodes fail, the lost data should be regenerated on replacement nodes. Regenerating codes minimize the volume of network traffic brought by the regeneration process. However, regenerating codes consume less traffic by requiring a larger number of nodes participating in the regeneration process. In this paper, we propose a new pipelined regeneration process for regenerating codes, that enables the system to consume a smaller amount of network traffic during the regeneration without engaging a large number of participating nodes. Moreover, the time spent during the regeneration can be further saved, while the data integrity can still be maintained no worse than the conventional regeneration process with regenerating codes.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 9 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
