SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Storage-Based Intrusion Detection for Storage Area Networks (SANs)
MSST '05 Proceedings of the 22nd IEEE / 13th NASA Goddard Conference on Mass Storage Systems and Technologies
Metadata Efficiency in Versioning File Systems
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
A Versatile and User-Oriented Versioning File System
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
A fresh look at the reliability of long-term digital storage
Proceedings of the 1st ACM SIGOPS/EuroSys European Conference on Computer Systems 2006
Matrix methods for lost data reconstruction in erasure codes
FAST'05 Proceedings of the 4th conference on USENIX Conference on File and Storage Technologies - Volume 4
Configuration debugging as search: finding the needle in the haystack
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Storage-based intrusion detection: watching storage activity for suspicious behavior
SSYM'03 Proceedings of the 12th conference on USENIX Security Symposium - Volume 12
Architectures for controller based CDP
FAST '07 Proceedings of the 5th USENIX conference on File and Storage Technologies
Detecting application-level failures in component-based Internet services
IEEE Transactions on Neural Networks
ShiftFlash: Make flash-based storage more resilient and robust
Performance Evaluation
RSCMap: resiliency planning in storage clouds
ICSOC'11 Proceedings of the 9th international conference on Service-Oriented Computing
| Hi-index | 0.00 |
Data corruption is one of the key problems that is on top of the radar screen of most CIOs. Continuous Data Protection (CDP) technologies help enterprises deal with data corruption by maintaining multiple versions of data and facilitating recovery by allowing an administrator restore to an earlier clean version of data. The aim of the recovery process after data corruption is to quickly traverse through the backup copies (old versions), and retrieve a clean copy of data. Currently, data recovery is an ad-hoc, time consuming and frustrating process with sequential brute force approaches, where recovery time is proportional to the number of backup copies examined and the time to check a backup copy for data corruption. In this paper, we present the design and implementation of SWEEPER architecture and backup copy selection algorithms that specifically tackle the problem of quickly and systematically identifying a good recovery point. We monitor various system events and generate checkpoint records that help in quickly identifying a clean backup copy. The SWEEPER methodology dynamically determines the selection algorithm based on user specified recovery time and recovery point objectives, and thus, allows system administrators to perform trade-offs between recovery time and data currentness. We have implemented our solution as part of a popular Storage Resource Manager product and evaluated SWEEPER under many diverse settings. Our study clearly establishes the effectiveness of SWEEPER as a robust strategy to significantly reduce recovery time.