Search results
Results from the WOW.Com Content Network
The channel is the endpoint for joining a cluster. Next, the receiver is set, which means that two callbacks will be invoked: viewAccepted (View view) when a new member joins, or an existing member leaves the cluster; receive (Message msg) when a message from some other cluster member is received; Then, the channel joins cluster "ChatCluster".
In addition to support for the JMS API, OpenMQ provides additional enterprise features including clustering for scalability and high availability, a C API, and a full JMX administration API. It also includes an implementation of the Java EE Connector Architecture (JCA) called the JMSRA, that allows OpenMQ to be used by a Java EE compliant ...
The following tables compare general and technical information for notable computer cluster software. This software can be grossly separated in four categories: Job scheduler , nodes management, nodes installation and integrated stack (all the above).
Availability Every request received by a non-failing node in the system must result in a response. This is the definition of availability in CAP theorem as defined by Gilbert and Lynch. [1] Note that availability as defined in CAP theorem is different from high availability in software architecture. [5] Partition tolerance
In either case, the cluster may use a high-availability approach. Note that the attributes described below are not exclusive and a "computer cluster" may also use a high-availability approach, etc. "Load-balancing" clusters are configurations in which cluster-nodes share computational workload to provide better overall performance.
Solaris Cluster is an example of kernel-level clustering software. Some of the processes it runs are normal system processes on the systems it operates on, but it does have some special access to operating system or kernel functions in the host systems.
In statistics and data mining, affinity propagation (AP) is a clustering algorithm based on the concept of "message passing" between data points. [1] Unlike clustering algorithms such as k-means or k-medoids, affinity propagation does not require the number of clusters to be determined or estimated before running the algorithm.
Raft offers a generic way to distribute a state machine across a cluster of computing systems, ensuring that each node in the cluster agrees upon the same series of state transitions. It has a number of open-source reference implementations, with full-specification implementations in Go, C++, Java, and Scala. [2]