On the road to recovery: restoring data after disasters

—Restoring data operations after a disaster is a daunting task: how should recovery be performed to minimize data loss and application downtime? Administrators are under considerable pressure to recover quickly, so they lack time to make good scheduling decisions. They schedule recovery based on rules of thumb, or on pre-determined orders that might not be best for the failure occurrence. With multiple workloads and recovery techniques, the number of possibilities is large, so the decision process is not trivial. This paper makes several contributions to the area of data recovery scheduling. First, we formalize the description of potential recovery processes by defining recovery graphs. Recovery graphs explicitly capture alternative approaches for recovering workloads, including their recovery tasks, operational states, timing information and precedence relationships. Second, we formulate the data recovery scheduling problem as an optimization problem, where the goal is to find the...

• Type: Conference
• Year: 2006
• Where: EUROSYS
• Authors: Kimberly Keeton, Dirk Beyer 0002, Ernesto Brau, Arif Merchant, Cipriano A. Santos, Alex Zhang
• Keywords: Data Recovery Scheduling, EUROSYS 2006, Recovery Graphs, Recovery Scheduling Problem, System Software