Matrix analysis
Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Distributed Algorithms
A resource allocation model for QoS management
RTSS '97 Proceedings of the 18th IEEE Real-Time Systems Symposium
Adaptive Resource Allocation Control for Fair QoS Management
IEEE Transactions on Computers
Consensus Problem of Multi-Agent Systems with Non-linear Performance Functions
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Adaptive fair resource management with an arbiter for multi-tier computing systems
ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
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A consensus problem has been studied in many fundamental and application fields to analyze coordinated behavior in multi-agent systems. In a consensus problem, it is usually assumed that a state of each agent is scalar and all agents have an identical linear consensus protocol. We present a consensus problem of multi-agent systems where each agent has multiple state variables and a performance value evaluated by a nonlinear performance function according to its current state. We derive sufficient conditions for agents to achieve consensus on the performance value using an algebraic graph theory and the mean value theorem. We also consider an application of a performance consensus problem to resource allocation in soft real-time systems so as to achieve a fair QoS (Quality of Service) level.