Abstract: Embodiments presented herein disclose adaptive techniques for scheduling self-maintenance processes. A load predictor estimates, based on a current state of a distributed storage system, an amount of resources of the system required to perform each of a plurality of self-maintenance processes. A maintenance process scheduler estimates, based on one or more inputs, an amount of resources of the distributed system available to perform one or more of the self-maintenance processes during at least a first time period. The maintenance process scheduler determines a schedule for the one or more of the self-maintenance processes to perform during the first time period, based on the estimated amount of resources required and available.

Abstract: Embodiments presented herein disclose adaptive techniques for scheduling self-maintenance processes. A load predictor estimates, based on a current state of a distributed storage system, an amount of resources of the system required to perform each of a plurality of self-maintenance processes. A maintenance process scheduler estimates, based on one or more inputs, an amount of resources of the distributed system available to perform one or more of the self-maintenance processes during at least a first time period. The maintenance process scheduler determines a schedule for the one or more of the self-maintenance processes to perform during the first time period, based on the estimated amount of resources required and available.

Abstract: Embodiments presented herein disclose adaptive techniques for scheduling self-maintenance processes. A load predictor estimates, based on a current state of a distributed storage system, an amount of resources of the system required to perform each of a plurality of self-maintenance processes. A maintenance process scheduler estimates, based on one or more inputs, an amount of resources of the distributed system available to perform one or more of the self-maintenance processes during at least a first time period. The maintenance process scheduler determines a schedule for the one or more of the self-maintenance processes to perform during the first time period, based on the estimated amount of resources required and available.

Abstract: A method and apparatus for updating an application on a group of nodes is presented. According to one embodiment, an application is updated at a first node. The first node updates a registry to indicate that an update was performed at the first node and propagates the update to the registry to one or more second nodes. At a second node, the second node determines that one or more application updates are available at the first node. Upon such a determination, the second node requests one or more update packages from the first node. Based on an update policy associated with the second node, the second node updates the application using the one or more update packages.

Abstract: One embodiment of the invention includes a system for performing intelligent disaster recovery. The system includes a processor and a memory. The memory stores a first monitor application that, when executed on the processor, performs an operation. The operation includes communicating with a second monitor application hosted at a secondary data center to determine an availability of one or more computer servers at a primary data center. The operation also includes upon reaching a consensus with the second monitor application that one or more computer servers at the primary data center are unavailable to process client requests, relative to both the first monitor application and the second monitor application, initiating a failover operation. Embodiments of the invention also include a method and a computer-readable medium for performing intelligent disaster recovery.