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| Grid computing is an emerging computing model that provides the ability to perform higher throughput computing by taking advantage of many networked computers to model a virtual computer architecture that is able to distribute process execution across a parallel infrastructure. Grids use the resources of many separate computers connected by a network (usually the Internet) to solve large-scale computation problems. Grids provide the ability to perform computations on large data sets, by breaking them down into many smaller ones, or provide the ability to perform many more computations at once than would be possible on a single computer, by modeling a parallel division of labor between processes. Today resource allocation in a grid is done in accordance with service level agreements.
In the nodal model, a nodal network is formed from many separated peers running the nodal reduction algorithm and connected by the communications nodal organisation. Each peer has a local node space which consumes RAM and CPU resource, and has access to various external storage or processing resources such as hard-drives, databases, compilers and people.
The node spaces and nodal networks are unified so that the runtime environment is a seemless continuation of the high level applicational and organisational environment. The nodal reduction algorithm is an interpreter and compiler of nodal structure so that all functionality is described without syntax, and is therefore a seemless continuation of it's conceptual model.
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1 Resource
A nodal network is a shared repository of resource and changing information, all nodal networks consist of:
2 Storage
The unified node space uses any form of storage available such as databases, filesystems, RAM etc. The storage mechanisms are abstracted to sets of properties which include operational statistics such as access and update times, so that their scale of operation can be properly determined, and also reliability and persistence properties. For dynamic and responsive operation in accord with the philosophy, there needs to be P2P storage mechanisms available, a DHT is good for storing meta-data and acting as an overlay network for other kinds of space such as URL-space, IP-address-space or even.
3 Communications
The Nodal Network is formed from communications between all the Peers. Each Peer applies the Nodal Reduction process to its local Nodal Space which results in the organisation of globally unique node identities and the propagation of change throughout the network.
Communications is a nodal organisation which extends reduction out to form a single harmonic global reduction space called the nodal network. Large organisations involving the process and resources of many individual nodal peers are also formed from and loops, but they rotate on larger cycles which are the globally known harmonics of spectrum.
4 Architecture
The nodal network can be considered as an generic overlay network, ie each node can be represented by a URI, and relationships can form ontologies using the usual format of triples.
- To cover
- Network of runtime-objects forming a "live" runtime environment of organisations and applications
- p2p aspect
- prototype-based environment
- workflow & workspace based
- See also