System News
Manugistics Runtime Environment and Swarm Technology
Control Hardware Costs and Enable Advanced Computing, Optimization and Decision-support
March 15, 2004,
Volume 73, Issue 3

Manugistics uses its Runtime Environment to allow IT organizations to control hardware costs by using existing hardware assets, incrementally expanding high-end hardware as the enterprise grows or leveraging commodity computing according to an overall IT strategy. The Runtime Environment is the set of features and capabilities that governs the ongoing IT resource needed to support a software implementation.

The Runtime Environment strictly adheres to the JavaTM 2 Platform, Enterprise Edition (J2EETM) standards, which reduces IT training and specialized resource requirements. By making use of open technology standards, a user can leverage existing, general IT resources and better ensure compatibility with other open-standards-based systems.

The Runtime Environment helps ensure that whatever hardware is deployed, server utilization is maximized through a simultaneous read-process-write approach. Manugistics applications are able to maintain a steady, high level of server utilization instead of the peaks and valleys characteristic of other applications. Hardware requirements can thus be reduced by maintaining high, steady server utilization.

Manugistics' ability to reduce hardware and IT operational costs is also enabled by Swarm Technology. Swarm is a software architecture that is able to offer a high degree of reliability, performance and extreme scalability through distributed computing. The standards-based architecture is built of the JavaTM platform, which allows it to break complex problems -- such as supply chain optimization -- into smaller jobs and distribute them in parallel to JavaTM Virtual Machine (JVMTM) Nodes. These nodes reside across multiple processors and servers. (The terms "Java Virtual Machine" and "JVM" mean a Virtual Machine for the Java platform.)

Swarm technology helps to enable advanced computing, optimization and decision-support and can also significantly reduce planning and optimization solve times. The nodes are also capable of cooperating to produce a balanced workload, efficient resource utilization and reliable task completion. A healthy node will detect a failure, compensate for a work-in-progress and redistribute a task if a separate node is unable to continue due to a failure at the hardware or software layer.

For more information on these solutions, see:

http://www.manugistics.com/solutions/webworks_re.asp

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