Hazelcast: The Art of Data Distribution

Hazelcast is an open source clustering and highly scalable data distribution platform for Java, which is:

• Lightening-fast; thousands of operations per sec.
• Fail-safe; no losing data after crashes.
• Dynamically scales as new servers added.
• Super-easy to deploy and use (include a single jar).

Hazelcast is pure Java. JVMs that are running Hazelcast will dynamically cluster. Although by default Hazelcast will use multicast for discovery, it can also be configured to only use TCP/IP for environments where multicast is not available or preferred. The program is released under Apache License and the project is hosted at Google Code. It can be freely used in commercial or non-commercial applications.

When Hazelcast?

Hazelcast will help you when you need to:

• Share data/state among many servers (e.g. web session sharing)
• Cache your data (distributed cache)
• Cluster your application
• Provide secure communication among servers
• Partition your in-memory data
• Distribute workload onto many servers
• Take advantage of parallel processing
• Provide fail-safe data management

(For more info please visit the their documentation page.)

MATLAB Distributed Computing Server

Perform MATLAB and Simulink computations on computer clusters and server farms.



MATLAB Distributed Computing Server™ lets users solve computationally and data-intensive problems by executing MATLAB® and Simulink® based applications on a computer cluster.

MATLAB Distributed Computing Server is available for all hardware platforms and operating systems supported by MATLAB and Simulink. It includes a basic scheduler and directly supports Platform LSF®, Microsoft® Windows® Compute Cluster Server, Microsoft Windows HPC Server 2008, Altair PBS Pro®, and TORQUE schedulers. Other schedulers can be integrated using the generic interface API. The product’s dynamic licensing feature frees administrators from managing the license profiles of individual users on the cluster; only a single MATLAB Distributed Computing Server license is required for the cluster.

Users program and prototype applications on their desktops using Parallel Computing Toolbox™ and then scale up to a cluster using MATLAB Distributed Computing Server. The server can also be used to scale up executables and shared libraries generated from parallel MATLAB applications with MATLAB Compiler™.

Click here to see detailed product info.