Threshold‐based negotiation framework for grid resource allocation
| Autor: | Tuğrul Çavdar, Muhammet Talha Kakız |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Knowledge management
Computer science business.industry media_common.quotation_subject 020206 networking & telecommunications 02 engineering and technology computer.software_genre Grid Computer Science Applications Task (project management) Negotiation Resource (project management) Grid computing Risk analysis (engineering) 0202 electrical engineering electronic engineering information engineering Overhead (computing) Resource allocation 020201 artificial intelligence & image processing Resource management Electrical and Electronic Engineering business computer media_common |
| Zdroj: | IET Communications. 11:2236-2243 |
| ISSN: | 1751-8636 |
| DOI: | 10.1049/iet-com.2017.0352 |
| Popis: | Computational grid provides virtual powerful computer for solving any large-scale scientific, commercial, and engineering problems by aggregating and sharing heterogeneous resources. However, designing an effective resource allocation method is a complicated task. To undertake the task, several economic-based resource management models have been studied. Bargaining (or negotiation) is one of the most used and effective models even though it has several main defects such as high communication demand and the risk of losing a deal. Instead of repeating negotiation for every generated grid job (GJ), the novel contribution of threshold-based negotiation framework is to determine whether a new negotiation is needed or not, according to the current market conditions which depend on supply of resource providers and demand of consumers. In the proposed framework, agents request for renewing negotiation, provided that the amount of change in market conditions exceeds pre-defined threshold. Therefore, communication overhead and the risk of losing the deal are minimised by avoiding unnecessary negotiations. |
| Databáze: | OpenAIRE |
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