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Pioneering Private and Public Cloud Management since 2008
The UnifiedSessionsManager supports the integrated management of user sessions within Private-Clouds, comprising heterogeneous IT landscapes of various physical and virtual machines, hypervisor management, and virtual user sessions with remote desktops.
Extracted documents see https://sourceforge.net/projects/ctys-doc.
The Community Scheduler Framework (CSF) is a set of Grid Services, implemented using the Globus Toolkit, which provides an environment for the development of metaschedulers that can dispatch jobs to resource managers such as LSF, SGE, PBS and Condor.
DRBL provides diskless or systemless environment. It uses distributed hardware resources and makes it possible for clients to fully access local hardware. It also includes Clonezilla, a partition and disk cloning utility similar to Ghost.
These are 2 OS definitions and a scheduler script that are designed for the full virtualization of linux and windows systems on Ganeti.
They works good on my KVM-based production environment and provides all that you need in order to create, backup and restore instances.
Note: I was told that it works pretty good even under XEN hypervisor.
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DISTributed Adaptable Executable (DISTae) is a software layer that allows the portability of programs among different heterogeneous computing units and run the different parts of the code simultaneously in a distributed and heterogeneous environment.
LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
A highly modular client remote/web services library written in Python supporting multiple protocols and transports through a unified interface. All modules are as independent as possible from each other to ensure high re-usability.
The OpenSSI project is a comprehensive clustering solution offering a full, highly available SSI environment for Linux. Goals for OpenSSI Clusters include availability, scalability and manageability, built from standard servers.
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The project focuses on developing an environment where one can harness idle CPU cycles of numerous networked systems to work together on a particularly processing-intensive problem. (distributed computing you may call it)