Decision procedures for multiple auctions
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
Bilateral Trade and `Small-World' Networks
Computational Economics
Iterative Combinatorial Auctions: Theory and Practice
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A Comparison among Bidding Algorithms for Multiple Auctions
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Scheduling with Advanced Reservations
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
Developing a bidding agent for multiple heterogeneous auctions
ACM Transactions on Internet Technology (TOIT)
Grid resource commercialization: economic engineering and delivery scenarios
Grid resource management
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Resource Allocation in the Grid Using Reinforcement Learning
AAMAS '04 Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems - Volume 3
Exploring bidding strategies for market-based scheduling
Decision Support Systems - Special issue: The fourth ACM conference on electronic commerce
On advance reservation of heterogeneous network paths
Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
Addressing strategic behavior in a deployed microeconomic resource allocator
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
The Knowledge Grid
A commodity market algorithm for pricing substitutable Grid resources
Future Generation Computer Systems
Elastic reservations for efficient bandwidth utilization in LambdaGrids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A catallactic market for data mining services
Future Generation Computer Systems - Special section: Data mining in grid computing environments
A model for collective strategy diffusion in agent social law evolution
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A multi-agent coordination model for the variation of underlying network topology
Expert Systems with Applications: An International Journal
A comparison of advance resource reservation bidding strategies in sequential ascending auctions
APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
rBundle: an iterative combinatorial auction-based approach to supporting advance reservation
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
An economic model for resource management in a Grid-based content distribution network
Future Generation Computer Systems
Macroeconomics based Grid resource allocation
Future Generation Computer Systems
An auction method for resource allocation in computational grids
Future Generation Computer Systems
DFCA: a flexible refundable auction for limited capacity suppliers
GECON'07 Proceedings of the 4th international conference on Grid economics and business models
Managing risks in an open computing environment using mean absolute deviation portfolio optimization
Future Generation Computer Systems
Combining Futures and Spot Markets: A Hybrid Market Approach to Economic Grid Resource Management
Journal of Grid Computing
To reach consensus using uninorm aggregation operator: A gossip-based protocol
International Journal of Intelligent Systems
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In this paper, we explore a market-based grid resource trading system from a cognitive perspective. First, we introduce a six-layer framework for simulating the trading system of grid computing resources. Then we analyze a trading case: resource advance reservation through agents participating in multiple sequential auctions. We study the evolution of this trading system using cognitive agents that can automatically adapt to the environment, exchange private information and learn new experiences from their network neighborhoods. We compare the different outcomes of the experiments in non-cooperative and local cooperative perspectives. Finally, after analyzing the experiment results, some critical issues regarding the design of market-based trading system are discussed.