Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
In search of clusters (2nd ed.)
In search of clusters (2nd ed.)
IEEE Transactions on Parallel and Distributed Systems
An economic paradigm for query processing and data migration in mariposa
PDIS '94 Proceedings of the third international conference on on Parallel and distributed information systems
High Performance Cluster Computing: Architectures and Systems
High Performance Cluster Computing: Architectures and Systems
The ANL/IBM SP Scheduling System
IPPS '95 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
REXEC: A Decentralized, Secure Remote Execution Environment for Clusters
CANPC '00 Proceedings of the 4th International Workshop on Network-Based Parallel Computing: Communication, Architecture, and Applications
A Case for Economy Grid Architecture for Service Oriented Grid Computing
IPDPS '01 Proceedings of the 10th Heterogeneous Computing Workshop â"" HCW 2001 (Workshop 1) - Volume 2
User-Centric Performance Analysis of Market-Based Cluster Batch Schedulers
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Market-based Proportional Resource Sharing for Clusters
Market-based Proportional Resource Sharing for Clusters
Libra: a computational economy-based job scheduling system for clusters
Software—Practice & Experience
Balancing Risk and Reward in a Market-Based Task Service
HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
International Journal of High Performance Computing Applications
Resource allocation in grid computing: an economic model
WSEAS Transactions on Computer Research
Future Generation Computer Systems
Autonomic metered pricing for a utility computing service
Future Generation Computer Systems
An Evaluation of the Benefits of Fine-Grained Value-Based Scheduling on General Purpose Clusters
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
An evaluation of the benefits of fine-grained value-based scheduling on general purpose clusters
Future Generation Computer Systems
A novel approach for QoS guided metascheduler for P2P grid system
ICICA'10 Proceedings of the First international conference on Information computing and applications
A survey of economic models in grid computing
Future Generation Computer Systems
Optimizing queries to remote resources
Journal of Intelligent Information Systems
An Economic Model for Resource Allocation in Grid Computing
Operations Research
Utilization-based pricing for power management and profit optimization in data centers
Journal of Parallel and Distributed Computing
Using clouds to scale grid resources: An economic model
Future Generation Computer Systems
A performance and energy optimization mechanism for cooperation-oriented multiple server clusters
Future Generation Computer Systems
A novel approach for QoS guided metascheduler for hypercubic P2P grid system
International Journal of Innovative Computing and Applications
Towards autonomic detection of SLA violations in Cloud infrastructures
Future Generation Computer Systems
SPA-based task scheduling for hypercubic P2P grid systems
International Journal of Communication Networks and Distributed Systems
On the use of a proportional-share market for application SLO support in clouds
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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Users perceive varying levels of utility for each different job completed by the cluster. Therefore, there is a need for existing cluster resource management systems (RMS) to provide a means for the user to express its perceived utility during job submission. The cluster RMS can then obtain and consider these user-centric needs such as Quality-of-Service requirements in order to achieve utility-driven resource management and allocation. We advocate the use of computational economy for this purpose. In this paper, we describe an architectural framework for a utility-driven cluster RMS. We present a user-level job submission specification for soliciting user-centric information that is used by the cluster RMS for making better resource allocation decisions. In addition, we propose a dynamic pricing function that the cluster owner can use to determine the level of sharing within a cluster. Finally, we define two user-centric performance evaluation metrics: Job QoS Satisfaction and Cluster Profitability for measuring the effectiveness of the proposed pricing function in realizing utility-driven resource management and allocation.