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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
Dataflow parallel programming language for clusters
PARUS is a data-flow parallel programming language that allows to build parallel programs for clusters and MPP multiprocessors. The data-flow graph is automatically converted to the C++/MPI source and linked with the libparus runtime library.
Also there are available tools for benchmarking cluster interconnect and visualize it.
A collection of performance analysis software that can assist with a variety of techniques useful for application software optimization and benchmarking. The current release provides support for analysis with hardware performance counters on Linux.
XDAQ is a software platform designed specifically for the development of distributed data acquisition systems. The development is carried out at CERN, the European Organization for Nuclear Research. Please visit http://xdaq.web.cern.ch
HyGrid provides a mechanism for building a grid of hybrid nature that could be used to handle the jobs requiring huge computational, storage or both the resources at the same time.
Managed MySQL, PostgreSQL, and SQL Databases on Google Cloud
Get back to your application and leave the database to us. Cloud SQL automatically handles backups, replication, and scaling.
Cloud SQL is a fully managed relational database for MySQL, PostgreSQL, and SQL Server. We handle patching, backups, replication, encryption, and failover—so you can focus on your app. Migrate from on-prem or other clouds with free Database Migration Service. IDC found customers achieved 246% ROI. New customers get $300 in credits plus a 30-day free trial.
Zeus Grid is a Grid Computing environment usefull to run systems in heterogenous machines at same time. In this first step, it will only compile, run and collect application results and file storage.
JVMCluster
Features:
- clusterable Java Virtual Machine (based on PVM)
- uses CPPVM as adapter layer to PVM
- object persistent layer integrated into JVM
- memory management unit is based on integrated relational database
- JDBC/ODBC api to acces