When more throughput is needed, more nodes are added to the grid. A workflow can be designed, and each step can be assigned to a node or set of nodes. For example, in a SaaS application, the steps to make a new tenant provisioning can be executed in a grid. See one such approach in the case studies of Digipede.
A grid can be used to scale out this heavy processing. A set of input data set must be processed. Then, each input data set could be given to a node or nodes in the grid. With more nodes, the simulation can produce more results. Point of view change: a grid can be exposed using web service. An interface can be defined to send tasks to the grid, tasks that can be written by grid programmers using an special SDK or framework.
What kind of software can be send to a grid? Some options:. Such grid can be offered as a service to other service even other grids. The concept of Grid as a Service emerges. The rent of its power, service level control, health monitoring, and more, are applications to consider in the future for these scenarios. For now, you can read the mentioned IBM article:. Digipede implementation is very interesing. They distributed assemblies. There is a server that receive tasks, distributes them into the grid nodes, where the Digipede agents are running.
The system keeps a database with the launched pending, and terminated tasks. It expose a control web interface. A user applicaction can communicate with the Digipede server, using a dedicated web service. Not all of these steps must be executed in order: most of them could be launched in parallel, ideally in a grid.
A code generation engine can consists of agents, mini expert systems, specialized on completing the model, making transformation, taking decisions, and more, in order to generate a system. A grid can host all these pieces. There is some work, gridifying GNUGo. Again, a community of agents, running distributed in a grid, can achieve more results than a common approach. The game of Go is not like chess: no game program could beat a professional human, yet. It merits more creative aproximations to the problem.
More about the Computer Go at:. It would be interesting to write such language: its programs could run in a sole machine, but, transparently, could be distributed to multiple nodes on a grid.
As you see, grid computing is a great topic. I want to thanks here to Gabriel Szlechtman : he suggested many of the enumerated scenarios. Pingback: Felix J. Great post really thanks for all information by you. In other words, the code for finding primes for , would not need any output from the processing of the first in order to do its work. In this article, we implement a grid service for testing special primes called Mersenne primes. Mersenne primes interest mathematicians because they represent the largest-known primes, and are perfect numbers.
We must use the BigInteger class to search for new Mersenne primes, because current Mersenne primes significantly exceed the bounds of a long. The BigInteger class implement integers of unbounded size. The Lucas-Lehmer test provides an extremely simple and efficient way to test for primality. The following pseudo-code implements this test:. Here are the latest Insider stories. More Insider Sign Out. Computers on the network contribute resources like processing power and storage capacity to the network.
Grid Computing is a subset of distributed computing, where a virtual super computer comprises of machines on a network connected by some bus, mostly Ethernet or sometimes the Internet. It can also be seen as a form of Parallel Computing where instead of many CPU cores on a single machine, it contains multiple cores spread across various locations.
Working: A Grid computing network mainly consists of these three types of machines Control Node: A computer, usually a server or a group of servers which administrates the whole network and keeps the account of the resources in the network pool. User: The computer that uses the resources on the network.
When a computer makes a request for resources to the control node, control node gives the user access to the resources available on the network. The nodes may consist of machines with similar platforms using same OS called homogeneous networks, else machines with different platforms running on various different OS called heterogeneous networks. This is the distinguishing part of grid computing from other distributed computing architectures.
As a grid computing system should use only unused resources of a computer, it is the job of the control node that any provider is not overloaded with tasks. Skip to content.
0コメント