Abstract: Aspects of data management are described. A cluster-level state machine may be instantiated for an update procedure for updating software for a cluster of storage nodes, where the update procedure may be configured to serially update the plurality of storage nodes. The cluster-level state machine may be configured to monitor the update procedure at a cluster level. One or more node-level state machines may be instantiated for the update procedure, where the one or more node-level state machines may be configured to monitor the performance of the update procedure at a storage node level. During an update procedure, the state of the cluster-level state machine may reflect a state of the cluster of storage nodes and the state of a node-level state machine may reflect a state of a respective one or more storage nodes.

Abstract: Aspects of data management are described. During an update procedure for serially updating a cluster of storage nodes, a storage node of the cluster of storage nodes may enter a quiescent state. While in the quiescent state, the storage node may refrain from obtaining new jobs and may continue to execute jobs that were initiated at the storage node prior to entering the quiescent state. The storage node may enter the quiescent state while another storage node enters an update state for installing the update version. The storage node may also post, to a job queue, jobs running at the storage node that are terminated at an end of the quiescent state.

Abstract: A database management system may schedule, according to a first job allocation configuration, a first job allocation for a first computing node, where the first computing node is scheduled to perform a parent job. In some examples, the first job allocation configuration prevents scheduling the parent job on a computing node running a newer code version than a set of computing nodes running the set of child jobs until the set of child jobs terminates. The database management system may further schedule, according to a second job allocation configuration, a second job allocation for a second computing node, where the second computing node is scheduled to perform a child job of the set of child jobs. In some examples, the second job allocation configuration prevents scheduling the child job on computing nodes having a newer code version than the first computing node performing the parent job.

Abstract: The present invention provides new methods for the prevention of migration of leukocytes into the CNS. These methods, which rely on inhibition of EMMPRIN activity or expression, can be used to treat or slow the onset of diseases such as multiple sclerosis and EAE.