Search Results for "data"

This project provides Netflix OSS integrations for Spring Boot apps through autoconfiguration and binding to the Spring Environment and other Spring programming model idioms. With a few simple annotations you can quickly enable and configure the common patterns inside your application and build large distributed systems with battle-tested Netflix components. The patterns provided include Service Discovery (Eureka), Circuit Breaker (Hystrix), Intelligent Routing (Zuul) and Client Side Load...

...Service registration and discovery: instances can be registered with Alibaba Nacos and clients can discover the instances using Spring-managed beans. Supports Ribbon, the client side load-balancer via Spring Cloud Netflix. Distributed Configuration: using Alibaba Nacos as a data store.

... ▪ JMP also contains a simple cluster management / load balancing tool called JMP node. ▪ JMP = SSI + load balancing + multiprocessing API Two of the most obvious JMP use cases are: a. All kinds of data parallelism (exhaustive search algorithms, optimization problems). b. Server-side load balancing between available CPUs. See project Wiki for more.

JPPF makes it easy to parallelize computationally intensive tasks and execute them on a Grid.

...Pop can help users to customize a bean, a scope, a factory and a reference in object-oriented way. Pop treats a bean as the model of a web page (JSP or servlet), the webpage itself is a view of the bean. The model provides the data for the view, the view is responsible for rendering the data. The Pop itself acts as the general-purposed controller for all views and models. The beans defined in server-side can be referenced by hyperlinks in client-side directly. Views and Models are therefore loosely coupled in Pop. A model can have multiple views for different devices and different locales. ...

MNDACS (Mesh Networked Data Acquisition and Control System) is a Java, network based control system. The project approach is to build a mesh system to tolerate control unit breakdowns with load balancing between units.

Elastica is a highly efficient and extensible, rules-based load-balancer for JBoss that adds dynamic behavior to EJB load balancing. Rules can be defined to redirect EJB requests according to request data, server performance data, or even the time of day

This project constitutes an implementation of a custom-design distributed computing environment. The implementation is based on a form of Nbody simulation, which ran successfully across 33 networked-hosts.

Maximize number of requests handled in a IT Data Center by minimizing the Power Consumption for IT Data Center and ensuring the Power Consumption of IT Data Center is within the predefined threshold Limits of both Server and IT Data Center.