
Disaster Recovery (DR) is a crucial feature to ensure availability and data protection in modern information systems. A common DR approach requires the replication of services in a set of virtual machines running in the cloud as backups. This leads to considerable monetary costs and managing efforts to keep such cloud VMs. We present GINJA, a DR solution for transactional database management systems (DBMS) that uses only cloud storage services such as Amazon S3. GINJA works at file-system level to efficiently capture and replicate data updates to a remote cloud storage service, achieving three important goals: (1) reduces the costs for maintaining a cloud-based DR to less than one dollar per month for relevant databases’ sizes and workloads (up to 222× less than the traditional approach of having a DBMS replica in a cloud VM); (2) allows a precise control of the operational costs, durability and performance trade-offs; and (3) introduces a small performance overhead to the DBMS (e.g., less than 5% overhead for the TPC-C workload with ≈ 10 seconds of data loss in case of disasters).
Databases, Disaster recovery, Cloud
Databases, Disaster recovery, Cloud
| 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). | 5 | |
| 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). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
