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Labrador is an open source Web Services Hub written in Java. It is based on an incredibly simple, yet modular architecture, and attempts to transparently support the SOAP, XML-RPC, and REST protocols.
Latis is a distributable storage engine for the semantic web. We plan to build a cross-platform, high-performance server that enables users to build private clouds which are protocol-compatible with popular web service offerings from Google & Amazon.
A mobile agent framework. Instead of relying on protocols across the wire, send an agent to the server to execute.
An example is encryption: send an agent to retrieve data, but let it do the encryption. Client side encryption on the server!
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 Java library that simplifies thread development. It has support for continuations, fork/merge, signals, thread and process serialization, event picker (similar to BPEL's pick element), among other features.
The 'Monitor' application, which consists of 2 parts, a MonitorServer (linux daemon) and a MonitorClient (java gui), will enable the user to monitor and log server process, memory, network and cpu information of multiple servers at a time.
A transparent network messaging system for offloading computations to other possibly more capable machines when they are available. The intended use of the system is for when the results of a computation aren't needed immediately.
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MACOW is a formal and scalable mandatory access implementation suitable on open worlds such as the provided on Semantic Web, Autonomic Computing and Coaltions and Federations scenarios. It is able to access control on distributed systems.
MIC* comes with a new vision of multi-agent system engineering: The multi-agent system is devided explicitly into two dimensions: the deployment environment and the autonomous agents. MIC* is an algebraic model of a deployment environment (container of a
MPIRuby is a Ruby version of the MPI supercomputing standard interface. It enables massively parallel and distributed algorithms to be written in a platform-independent manner suitable for large-scale computation-intensive experiments. MPI is the \"Mes
MPY is an MPI implementation for Python using MPICH (or any other MPI implementation). MPY also provides helper functions for ease of programming, and a simple plug-in interface.
MQbench is a graphical message passing (mpi, mpich) benchmark, which involves Qt for graphical view of different MPI Calls. MQbench has the abiltiy to benchmark the communication behaviour between different groups of clusternodes with a single click.
The objective of the project is to provide a concrete framework based on MR, which provides an extensible and easily manageable distributed computational environment.
The MUSCLE system is a fast, portable, flexible client-server system for distributed applications. Clients send BMessage-like PortableMessages to each other either directly or via a centralized server (with built-in database and 'live query' support).
An easy-to-use simulator for decentralized distributed scheduling in Clusters, Grids, and Cloud ecosystem
MaGate 2.0 is now available from github!
https://github.com/huangye177/magate
Java based multi-agent platform built on an organizational model (agent, group, role). MadKit provides general agent facilities (lifecycle management, message passing, distribution, ...), and allows high heterogeneity in agents.
Mahatittha enables distributed transaction handling capability within the lightweight container Spring Framework, without necessitating its deployment in a fully-fledged J2EE application server.
The project Mandala helps the development of concurrent and/or distributed applications. It is based on the asynchronous reference concept which provide asynchronous and potentially remote method invocation.
MapPSO is a tool for Ontology Alignment, which uses Discrete Particle Swarm Optimisation. A particle swarm is used to search for the optimal alignment. The algorithm is massively parallel and adapts naturally on parallel architectures.