Application of computational intelligence techniques in active networks
Proceedings of the 2001 ACM symposium on Applied computing
Congestion prices as feedback signals: an approach to QoS management
EW 9 Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system
New Resource Control Issues in Shared Clusters
IDMS '01 Proceedings of the 8th International Workshop on Interactive Distributed Multimedia Systems
Scalable Resource Control in Active Networks
IWAN '00 Proceedings of the Second International Working Conference on Active Networks
QuDAS: A QoS-Based Brokering Architecture for Data Services
DBTel '01 Proceedings of the VLDB 2001 International Workshop on Databases in Telecommunications II
QoS-Adaptive Multimedia Resource Regulation Scheme Based on Priority Classification
ICCNMC '01 Proceedings of the 2001 International Conference on Computer Networks and Mobile Computing (ICCNMC'01)
Auction based resource negotiation in NOMAD
ACSC '05 Proceedings of the Twenty-eighth Australasian conference on Computer Science - Volume 38
Markets are dead, long live markets
ACM SIGecom Exchanges
Virtual private machines: user-centric performance
Proceedings of the 11th workshop on ACM SIGOPS European workshop
A commodity market algorithm for pricing substitutable Grid resources
Future Generation Computer Systems
The use of economic models to capture importance policy for autonomic database management systems
Proceedings of the 1st ACM/IEEE workshop on Autonomic computing in economics
Embedded Systems Design
An economic approach for application qos management in clouds
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing - Volume 2
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Resource management is a fundamental concept in operating system design. In recent years it has become fashionable to consider the problem as an aspect of heterogeneous support for Quality of Service (`QoS'). The desire for QoS support leads to the dual management goals of global (system) and local (application) optimisation. In this paper we propose an architecture based on an economic model of resource management using frequently renegotiated timed resource contracts. We use dynamic pricing as a congestion feedback mechanism to enable applications to make system policy controlled adaptation decisions. We argue that this scheme has many advantages over a traditional central resource management entity including scalability and application specific adaptation.