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21#
發(fā)表于 2025-3-25 07:10:22 | 只看該作者
22#
發(fā)表于 2025-3-25 10:33:11 | 只看該作者
23#
發(fā)表于 2025-3-25 13:47:46 | 只看該作者
The ArguGRID Platform: An Overviewctures, by means of argumentative agents, an agent environment, a service-composition environment, Peer-to-Peer technology and Grid middleware. Agents are argumentative in that they use argumentation-based decision-making and argumentation-supported negotiation of services and contracts. The integra
24#
發(fā)表于 2025-3-25 18:50:38 | 只看該作者
AssessGrid Strategies for Provider Ranking Mechanisms in Risk–Aware Grid SystemsSLAs) are powerful instruments for describing all obligations and expectations within such a Grid-based business relationship. Service selection has so far been based on performance and compatibility criteria while neglecting the factor of reliability and risk..The EC-funded project “AssessGrid” aim
25#
發(fā)表于 2025-3-25 20:40:27 | 只看該作者
26#
發(fā)表于 2025-3-26 02:08:40 | 只看該作者
27#
發(fā)表于 2025-3-26 07:19:35 | 只看該作者
https://doi.org/10.1007/978-94-015-9952-8ure that can also serve the needs of the business domain. Taking into consideration that the available service providers may have business / strategic relationships, this paper focuses on describing an approach for modeling these relationships. Furthermore and since these relationships may affect th
28#
發(fā)表于 2025-3-26 10:19:30 | 只看該作者
29#
發(fā)表于 2025-3-26 13:39:59 | 只看該作者
30#
發(fā)表于 2025-3-26 17:38:09 | 只看該作者
https://doi.org/10.1007/978-3-662-47359-7hnologies in the area of artificial intelligence, statistics and economics are playing together to achieve i) autonomic resource provisioning and usage of computational resources, to invent ii) competitive bidding strategies for widely used market mechanisms and to iii) incentivize consumers and pro
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