Building a Low Latency Highly Scalable Data Serialization Protocol

At the heart of every big data solution, such as XAP, is data synchronization. While there are a number of solutions and approaches available today, they are either overly complex or incredibly inefficient. Fortunately, we have been able to combine

Building a dynamic high-speed data-hub with multi-semantic querying capabilities

After having the opportunity to present this topic at the recent Big Data Expo in Utrecht, Netherlands (and a few other expos) I thought it would also be a good time to share my thinking with the online community. Data storage &

Moving away from Mainframe to Commodity – How?

Moving away from Mainframe to Commodity – How? Mainframe (Z/OS) based systems running COBOL programs are legacy systems in many organizations. These are planned to be replaced with low cost commodity servers running Java or .Net based systems, saving the

Possible Impossibility – The Race to Zero Latency

I recently read a book called: "Physics of the Impossible" by the theoretical physicist Michio Kaku. Dr. Kaku lists "Possible Impossibilities" and classifies these into different categories where all these "impossibilities" may happen in the near/distant future. When talking about "zero

new and modified best practices

Our best practices wiki is growing rapidly and full with good and useful material. Here are few new best practices added lately: – Finding Partition Load – routing data based on partition load. – Even Data Distribution – simple example explains how to evenly partition

Custom Matching-Two Dimensional Cartesian space Comparison using GigaSpaces

Usually you index and execute queries using primitive fields (long, float, string, etc). The fields may be within the root level of the space object, or embedded within nested objects within the space object. You may construct a query using