BibSonomy ::  concept ::

Is Ehcache a NoSQL store? No, I would not characterise it as that, but I have seen it used for some NoSQL use cases. In these situations it compared very well — with higher performance and more flexible consistency than the well-known NoSQL stores. Let me explain.

Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. It is based on a hierarchical design targeted at federations of clusters. It leverages widely used technologies such as XML for data representation, XDR for compact, portable data transport, and RRDtool for data storage and visualization. It uses carefully engineered data structures and algorithms to achieve very low per-node overheads and high concurrency. The implementation is robust, has been ported to an extensive set of operating systems and processor architectures, and is currently in use on thousands of clusters around the world. It has been used to link clusters across university campuses and around the world and can scale to handle clusters with 2000 nodes.

The Journal of Intelligence Learning Systems and Applications (JILSA) is a peer reviewed international journal with a key objective to provide the academic and industrial community a medium for presenting original cutting-edge research related to intelligent learning systems and their applications. JILSA invites authors to submit their original and unpublished work that communicates current research on intelligent learning systems both in the theoretical and methodological aspects, as well as various applications in real-world applications. Learning is the fundamental and most important element for biological intelligent systems. To develop brain-like intelligent systems that are able to adaptively learn from uncertain environments to accumulate knowledge and predict future outcome to accomplish the desired goal is the long-term objective of the research in the domain of machine intelligence. In recent years, with the theoretical advances in artificial intelligence, machine learning, as well as related fields such as control theory, operation research, biomedical research, neuroscience, statistics and complex systems, intelligent learning systems have been more and more widely used in many real-world applications including nonlinear complex control, robotics, intelligent transportation systems, autonomic computing for information systems, national security, and many other fields. However, due to the complexity of real-world problems, the development of intelligent learning systems still remain a challenging topic. Therefore, it is critical to develop new theories, algorithms and applications of intelligent learning systems to promote the research in this domain, and benefit the long-term development goal of this research community.

First in short - clustering on an index forces the physical ordering of the data to be the same as the index order of the index chosen. Since you can have only one physical order of a table, you can have only one clustered index per table and should carefully pick which index you will use to cluster on or if you even want to cluster. Unlike Microsoft SQL Server, clustering on an index in PostgreSQL does not maintain that order. You have to reapply the CLUSTER process to maintain the order. Clustering helps by reducing page seeks. Once an index search is done and found, pulling out the data on the same page is vastly faster since once you find the start point all successive data nearby is easy picking.

Gephi is an open-source software for visualizing and analyzing large networks graphs. Gephi uses a 3D render engine to display graphs in real-time and speed up the exploration. Use Gephi to explore, analyse, spatialise, filter, cluterize, manipulate and export all types of graphs.