A flexible service model for advance reservation
Computer Networks: The International Journal of Computer and Telecommunications Networking
The Performance Impact of Advance Reservation Meta-scheduling
IPDPS '00/JSSPP '00 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Impact of More Accurate Requested Runtimes on Production Job Scheduling Performance
JSSPP '02 Revised Papers from the 8th International Workshop on Job Scheduling Strategies for Parallel Processing
ICPP '06 Proceedings of the 2006 International Conference on Parallel Processing
Flexible Time-Windows for Advance Reservation Scheduling
MASCOTS '06 Proceedings of the 14th IEEE International Symposium on Modeling, Analysis, and Simulation
Resource reservations with fuzzy requests: Research Articles
Concurrency and Computation: Practice & Experience - Adaptive Grid Middleware
Impact of Adaptive Resource Allocation Requests in Utility Cluster Computing Environments
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
On the User-Scheduler Dialogue: Studies of User-Provided Runtime Estimates and Utility Functions
International Journal of High Performance Computing Applications
Elastic reservations for efficient bandwidth utilization in LambdaGrids
Future Generation Computer Systems - Special section: Data mining in grid computing environments
Grid resource allocation: allocation mechanisms and utilisation patterns
AusGrid '08 Proceedings of the sixth Australasian workshop on Grid computing and e-research - Volume 82
Context-Driven Autonomic Adaptation of SLA
ICSOC '08 Proceedings of the 6th International Conference on Service-Oriented Computing
High occupancy resource allocation for grid and cloud systems, a study with DRIVE
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Optimum allocation of distributed service workflows with probabilistic real-time guarantees
Service Oriented Computing and Applications
An Analysis of Power Consumption Logs from a Monitored Grid Site
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
MORPHOSYS: Efficient Colocation of QoS-Constrained Workloads in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
An economic agent maximizing cloud provider revenues under a pay-as-you-book pricing model
GECON'12 Proceedings of the 9th international conference on Economics of Grids, Clouds, Systems, and Services
CloudPack* exploiting workload flexibility through rational pricing
Proceedings of the 13th International Middleware Conference
The Journal of Supercomputing
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Utility computing enables the use of computational resources and services by consumers with service obligations and expectations defined in Service Level Agreements (SLAs). Parallel applications and workflows can be executed across multiple sites to benefit from access to a wide range of resources and to respond to dynamic runtime requirements. A utility computing provider has the difficult role of ensuring that all current SLAs are provisioned, while concurrently forming new SLAs and providing multiple services to numerous consumers. Scheduling to satisfy SLAs can result in a low return from a provider's resources due to trading off Quality of Service (QoS) guarantees against utilisation. One technique is to employ advance reservations so that an SLA aware scheduler can properly manage and schedule its resources. To improve system utilisation we exploit the principle that some consumers will be more flexible than others in relation to the starting or completion time, and that we can juggle the execution schedule right up until each execution starts. In this paper we present a QoS scheduler that uses SLAs to efficiently schedule advance reservations for computation services based on their flexibility. In our SLA model users can reduce or increase the flexibility of their QoS requirements over time according to their needs and resource provider policies. We introduce our scheduling algorithms, and show experimentally that it is possible to use flexible advance reservations to meet specified QoS while improving resource utilisation.