Grid computing with a market twist: smarter resource scheduling
Think of many computers around the world sharing work, finding spare time and power so big problems get solved faster.
This idea treats computing like a small market where owners earn by lending resources and users choose deals to meet a task fast or save money.
A simple trading system helps match supply and demand so resources dont sit idle and people gets what they need.
It uses Grid computing to mix different machines, and resource trading to make sharing fair and useful.
Schedulers learn what users want and then balance quality of service, time and cost, so choices fit each goal.
That means if you need results quick you pay more, if you have time you pay less and wait.
Experiments showed these ideas work on a real worldwide setup for many small jobs, so the system scales.
It makes resource owners willing to join, and users was motivated to set budgets and deadlines.
The result: smarter sharing, less wasted power, and projects finish with better predictability.
Read article comprehensive review in Paperium.net:
Economic-based Distributed Resource Management and Scheduling for Grid Computing
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