Hazelcast is an open source clustering and highly scalable data distribution platform for Java, which is:
* Lightening-fast; thousands of operations/sec.
* Fail-safe; no losing data after crashes.
* Dynamically scales as new servers added.
* Super-easy to 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 "Clustered Remoting For Spring Framework" (or Cluster4Spring) is alternative implementation of remoting subsystem included into Spring framework.
Clustered remoting scheme
While implementation of remoting in Spring is great, it has several limitations that are quite important and must be taken into consideration when building large enterprise-level distributed system.
Briefly, these limitations relate to the point-to-point model of remoting supported by Spring - generally speaking, the client may use only one instance of remote service. It is obvious that having only such a scheme of remoting, it is hard to develop fault-tolerant systems and implement some kinds of load balancing.
Another feature, which is currently missing in remoting subsystem offered by Spring framework, is lack of the ability to dynamically discover remote services.
The main purpose of Cluster4Spring is to extend remoting system of Spring framework and overcome limitations mentioned above.
Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, a