N2Grid: neural networks in the grid

N2SkyC - User Friendly and Efficient Neural Network Simulation Fostering Cloud Containers

“…New technology shifts enabled new concepts, as distributed cooperative environments over the Internet, as NeuroWeb [18]. With the advance of virtual resources by Grid and Cloud computing new collaborative environments motivated the authors of this paper to aim for an "everything about sharing" approach leading the way towards virtual collaborative organisations, as N2Grid [22] and N2Cloud [9].…”

“…-SNNS [24] [18] This project implements an Internet-based framework for the simulation of neural networks and provisioning of processing resources. -N2Grid [22] employs the novel infrastructure of the grid as a transparent environment to allow users the exchange of information (neural network objects, neural network paradigms) and the exploitation of available computing resources -N2Cloud [9] is Cloud-based neural network simulation system, which enables the exchange of knowledge, as neural network objects and paradigms, by a virtual organization environment and delivers ample resources by exploiting the Cloud computing principle. -N2Sky [21] provides a framework for neural network simulation by a virtual organization environment.…”

N2Sky — Neural networks as services in the clouds

“…NeuroAccess [4] deals with the conceptual and physical integration of neural networks into relational database systems. The N2Cloud system [11] is based on a service oriented architecture (SOA) and is a further evolution step of the N2Grid systems [23]. The original idea behind the N2Grid system was to consider all components of an artificial neural network as data objects that can be serialized and stored at some data site in the Grid, whereas N2Cloud will use the storage services provided by the Cloud environment.…”

Evolutionary Computing within Grid Environment

“…The layered architecture of the Grid provides a convenient way of representing human-readable optimisation rules and processes and machinereadable axioms on different layers. For example, to present a transparent view to users, semantic and knowledge-based rules should fall within the application level [33]. [33] demonstrated this way of using intelligent systems in their N2Grid project which uses neural networks to exchange information and exploit available computational resources using a 3-layered architecture.…”

“…For example, to present a transparent view to users, semantic and knowledge-based rules should fall within the application level [33]. [33] demonstrated this way of using intelligent systems in their N2Grid project which uses neural networks to exchange information and exploit available computational resources using a 3-layered architecture. The layers are knowledge layer which uses 2-dimensional information for analysis and mining of data to provide problem solving mechanisms, information layer which uses 1-dimensional information for semantic interpretation and data layer which provides data administration.…”