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
Risk aware overbooking for commercial grids
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
Multiplexing low and high QoS workloads in virtual environments
JSSPP'10 Proceedings of the 15th international conference on Job scheduling strategies for parallel processing
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
Cloud Computing System Management Under Flat Rate Pricing
Journal of Network and Systems Management
ICA3PP'10 Proceedings of the 10th international conference on Algorithms and Architectures for Parallel Processing - Volume Part I
Client classification policies for SLA negotiation and allocation in shared cloud datacenters
GECON'11 Proceedings of the 8th international conference on Economics of Grids, Clouds, Systems, and Services
Client Classification Policies for SLA Enforcement in Shared Cloud Datacenters
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Revenue Maximization Using Adaptive Resource Provisioning in Cloud Computing Environments
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
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
Resource co-allocation framework based on hybrid gaming model in grid environments
International Journal of Grid and Utility Computing
Improving cloud infrastructure utilization through overbooking
Proceedings of the 2013 ACM Cloud and Autonomic Computing Conference
Improving user QoS by relaxing resource reservation policy in high-performance grid environments
International Journal of Grid and Utility Computing
International Journal of Computational Science and Engineering
Cloudy with a Chance of Load Spikes: Admission Control with Fuzzy Risk Assessments
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Advance reservation allows users to request available nodes in the future, whereas economy provides an incentive for resource owners to be part of the Grid, and encourages users to utilize resources optimally and effectively. In this paper, we use overbooking models from Revenue Management to manage cancellations and no-shows of reservations in a Grid system. Without overbooking, the resource owners are faced with a prospect of loss of income and lower system utilization. Thus, the models aim to find an ideal limit that exceeds the maximum capacity, without incurring greater compensation cost. Moreover, we introduce several novel strategies for selecting which bookings to deny, based on compensation cost and user class level, namely Lottery, Denied Cost First (DCF), and Lower Class DCF. The result shows that by overbooking reservations, a resource gains an extra 6-9% in the total net revenue.