Abstract: A system and method for partitioned snapshot creation of caches in a distributed data grid is provided. The system and method enables a snapshot to be created in a running system without quiescing a cache service. Moreover for each particular partition, execution of read/write requests are not blocked during the period that a snapshot creation task is being performed for the particular partition. The cache service thread continues to execute read requests for all partitions with write requests for the partition under snapshot experiencing delayed response. The system and method reduces the period of time for which partitions are unavailable during a snapshot process and increases the availability of cache services provided by a distributed data grid compared to prior snapshot systems.

Abstract: A system and method for supporting an association-aware executor service in a distributed computing environment comprising. The system can provide an executor service associated with a thread pool, the thread pool containing a plurality of threads. The system can receive, at the executor service, a plurality of work requests, each work request being associated with a key of a plurality of keys. The system can define groups of work requests, each group of work requests comprising one or more work requests having a same key. The system can queue, on the plurality of threads in the thread pool, the groups of work requests, each group of work requests being queued on a different thread. All work requests in a particular group are executed on the same thread.

Abstract: A system and method supports key management in a distributed computing environment such as a distributed data grid. A binary radix tree is used to intern a plurality of binary keys. The binary radix tree is serialized to a byte buffer and a view of the binary is created. A byte sequence interface to the nodes of the serialized binary radix tree allows use of references which refer to positions in the serialized binary radix tree instead of requiring byte array copes of the interned keys. Use of references into the byte array in place of a byte array copies of interned keys reduces the memory overhead associated with referrers such as reverse indices which make reference to values associated with the plurality of binary keys. The reduction in memory overhead enhances performance and capabilities of a distributed computing environment such as a distributed data grid.

Abstract: A system and method for automatic recovery of actively persisted data in a distributed data grid. A dynamic active recovery quorum function determines the number of cluster storage members that must be available before recovery starts. The use of the dynamic active recovery quorum allows time for a cluster to start and ensures that partitions can be recovered gracefully without overloading too few storage members. The dynamic active recovery quorum function automatically configures the recovery quorum based on a predefined algorithm and data collected about cluster membership during cluster operation prior to the catastrophic failure or shut down for planned maintenance.

Abstract: A system and method for supporting persistent store archival and retrieval in a distributed computing environment. The system provides a central portal operative to initiate the archiving (or retrieval) which is executed in parallel across all members with access to persisted stores, either being sent or gathered from an archive repository. The system and method can include an archive coordinator associated with an in-memory data grid. The archive coordinator receives an instruction to store a snapshot of a current state of the in-memory data grid, the instruction including a storage location, the storage location being a destination selected from the group consisting of a local disk and a shared disk. The system can archive the snapshot of the current state of the in-memory data grid at the storage location.

Abstract: A system and method for automatic recovery of actively persisted data in a distributed data grid. A dynamic active recovery quorum function determines the number of cluster storage members that must be available before recovery starts. The use of the dynamic active recovery quorum allows time for a cluster to start and ensures that partitions can be recovered gracefully without overloading too few storage members. The dynamic active recovery quorum function automatically configures the recovery quorum based on a predefined algorithm and data collected about cluster membership during cluster operation prior to the catastrophic failure or shut down for planned maintenance.

Abstract: A system and method for supporting multi-version remote function execution control in a distributed computing environment is provided. Remote functions are provided with a version identifier which uniquely identifies the version of the remote function. The version identifier can be a digest of the class definition of the remote function. The version identifier is used by an executor and/or class loader to ensure execution of correct class versions when on a node in a distributed computing environment. The definitive identification of class versions also provides for conditional transmission of class definition thereby reducing communication overhead for distribution of remote functions.

Abstract: A system and method for partitioned snapshot creation of caches in a distributed data grid is provided. The system and method enables a snapshot to be created in a running system without quiescing a cache service. Moreover for each particular partition, execution of read/write requests are not blocked during the period that a snapshot creation task is being performed for the particular partition. The cache service thread continues to execute read requests for all partitions with write requests for the partition under snapshot experiencing delayed response. The system and method reduces the period of time for which partitions are unavailable during a snapshot process and increases the availability of cache services provided by a distributed data grid compared to prior snapshot systems.

Abstract: A system and method supports dynamic deployment of executable code in a distributed computing environment. A server node in the distributed computing environment can receive a class definition from a client to execute, and generate and load into memory an instance of a class using said class definition without restarting or redeploying the server node. The class definition can define a new or updated class otherwise unavailable to the server node. Classes are identified with unique class identities which enables determination of whether a class is new or updated. The class identity can be used to determine the need for transmitting a class definition to a server node and also to ensure that a correct version of a class in implemented. In a particular case the new or updated class definition implements a lambda expression.

Abstract: A system and method can support metadata compression in a distributed data grid. The system can store a plurality of keys in compact data structure (such as a radix tree) in a heap, wherein each said key is associated with an entry in a journal off-heap. Furthermore, the system can look up the tree for a key, wherein the key is associated with a journal ticket that represents a virtual address of an entry in the journal. Then, the system can use the journal ticket to manage the entry in the journal that is associated with said key.

Abstract: A system and method supports key management in a distributed computing environment such as a distributed data grid. A binary radix tree is used to intern a plurality of binary keys. The binary radix tree is serialized to a byte buffer and a view of the binary is created. A byte sequence interface to the nodes of the serialized binary radix tree allows use of references which refer to positions in the serialized binary radix tree instead of requiring byte array copes of the interned keys. Use of references into the byte array in place of a byte array copies of interned keys reduces the memory overhead associated with referrers such as reverse indices which make reference to values associated with the plurality of binary keys. The reduction in memory overhead enhances performance and capabilities of a distributed computing environment such as a distributed data grid.

Abstract: A system and method support a reference store in a distributed computing environment such as a distributed data grid. The system associates a ticket with the reference store, wherein the reference store contains a plurality of references. Furthermore, the system uses the ticket to expose the reference store to one or more consumers in the distributed computing environment. The reference store type is selected in response to the number of references required to be stored and access overhead. Each reference store can be inflated or deflated according to the number of references it contains. Selection of different reference store types allows for reduced memory overhead while still providing acceptable reference retrieval times. The reduction in memory overhead enhances performance and capabilities of a distributed computing environment such as a distributed data grid.

Abstract: A system and method supports key management in a distributed computing environment such as a distributed data grid. A binary radix tree is used to intern a plurality of binary keys. The binary radix tree is serialized to a byte buffer and a view of the binary is created. A byte sequence interface to the nodes of the serialized binary radix tree allows use of references which refer to positions in the serialized binary radix tree instead of requiring byte array copes of the interned keys. Use of references into the byte array in place of a byte array copies of interned keys reduces the memory overhead associated with referrers such as reverse indices which make reference to values associated with the plurality of binary keys. The reduction in memory overhead enhances performance and capabilities of a distributed computing environment such as a distributed data grid.

Abstract: A system and method can support metadata compression in a distributed data grid. The system can store a plurality of keys in compact data structure (such as a radix tree) in a heap, wherein each said key is associated with an entry in a journal off-heap. Furthermore, the system can look up the tree for a key, wherein the key is associated with a journal ticket that represents a virtual address of an entry in the journal. Then, the system can use the journal ticket to manage the entry in the journal that is associated with said key.

Abstract: A system and method can support metadata compression in a distributed data grid. The system can store a plurality of keys in compact data structure (such as a radix tree) in a heap, wherein each said key is associated with an entry in a journal off-heap. Furthermore, the system can look up the tree for a key, wherein the key is associated with a journal ticket that represents a virtual address of an entry in the journal. Then, the system can use the journal ticket to manage the entry in the journal that is associated with said key.

Abstract: A system and method for supporting multi-version remote function execution control in a distributed computing environment is provided. Remote functions are provided with a version identifier which uniquely identifies the version of the remote function. The version identifier can be a digest of the class definition of the remote function. The version identifier is used by an executor and/or class loader to ensure execution of correct class versions when on a node in a distributed computing environment. The definitive identification of class versions also provides for conditional transmission of class definition thereby reducing communication overhead for distribution of remote functions.

Abstract: A system and method for supporting persistent store archival and retrieval in a distributed computing environment. The system provides a central portal operative to initiate the archiving (or retrieval) which is executed in parallel across all members with access to persisted stores, either being sent or gathered from an archive repository. The system and method can include an archive coordinator associated with an in-memory data grid. The archive coordinator receives an instruction to store a snapshot of a current state of the in-memory data grid, the instruction including a storage location, the storage location being a destination selected from the group consisting of a local disk and a shared disk. The system can archive the snapshot of the current state of the in-memory data grid at the storage location.

Abstract: A system and method for supporting an association-aware executor service in a distributed computing environment comprising. The system can provide an executor service associated with a thread pool, the thread pool containing a plurality of threads. The system can receive, at the executor service, a plurality of work requests, each work request being associated with a key of a plurality of keys. The system can define groups of work requests, each group of work requests comprising one or more work requests having a same key. The system can queue, on the plurality of threads in the thread pool, the groups of work requests, each group of work requests being queued on a different thread. All work requests in a particular group are executed on the same thread.

Abstract: A system and method can support memory allocation control in a distributed data grid. The system can designate a process, such as a logical process, to handle a request that is received from a client for storing data in a data storage using an elastic data structure with one or more journal files. Then, a resource manager associated with the data storage can suspend the process when the elastic data structure appears to be logically full. Furthermore, the resource manager can resume the suspended process associated with the client, after the resource manager has reclaimed sufficient memory from the elastic data structure.

Abstract: A system and method supports key management in a distributed computing environment such as a distributed data grid. A binary radix tree is used to intern a plurality of binary keys. The binary radix tree is serialized to a byte buffer and a view of the binary is created. A byte sequence interface to the nodes of the serialized binary radix tree allows use of references which refer to positions in the serialized binary radix tree instead of requiring byte array copes of the interned keys. Use of references into the byte array in place of a byte array copies of interned keys reduces the memory overhead associated with referrers such as reverse indices which make reference to values associated with the plurality of binary keys. The reduction in memory overhead enhances performance and capabilities of a distributed computing environment such as a distributed data grid.