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Inside the bird's nest: measurements of large-scale live VoD from the 2008 olympics
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
Communications of the ACM
An evaluation of alternative architectures for transaction processing in the cloud
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Improving MapReduce performance in heterogeneous environments
OSDI'08 Proceedings of the 8th USENIX conference on Operating systems design and implementation
Runtime measurements in the cloud: observing, analyzing, and reducing variance
Proceedings of the VLDB Endowment
Optimal content placement for a large-scale VoD system
Proceedings of the 6th International COnference
SecondNet: a data center network virtualization architecture with bandwidth guarantees
Proceedings of the 6th International COnference
Understanding demand volatility in large VoD systems
Proceedings of the 21st international workshop on Network and operating systems support for digital audio and video
Better never than late: meeting deadlines in datacenter networks
Proceedings of the ACM SIGCOMM 2011 conference
Towards predictable datacenter networks
Proceedings of the ACM SIGCOMM 2011 conference
A tutorial on decomposition methods for network utility maximization
IEEE Journal on Selected Areas in Communications
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
Defragmenting the cloud using demand-based resource allocation
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
A study of pricing for cloud resources
ACM SIGMETRICS Performance Evaluation Review
Enabling fair pricing on HPC systems with node sharing
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Cost models - pillars for efficient cloud computing: position paper
International Journal of Intelligent Systems Technologies and Applications
A Game-Theoretic Model for Dynamic Pricing and Competition among Cloud Providers
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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In a public cloud, bandwidth is traditionally priced in a pay-as-you-go model. Reflecting the recent trend of augmenting cloud computing with bandwidth guarantees, we consider a novel model of cloud bandwidth allocation and pricing when explicit bandwidth reservation is enabled. We argue that a tenant's utility depends not only on its bandwidth usage, but more importantly on the portion of its demand that is satisfied with a performance guarantee. Our objective is to determine the optimal policy for pricing cloud bandwidth reservations, in order to maximize social welfare, i.e., the sum of the expected profits that can be made by all tenants and the cloud provider, even with the presence of demand uncertainty. The problem turns out to be a large-scale network optimization problem with a coupled objective function. We propose two new distributed solutions --- based on chaotic equation updates and cutting-plane methods --- that prove to be more efficient than existing solutions based on consistency pricing and subgradient methods. In addition, we address the practical challenge of forecasting demand statistics, required by our optimization problem as input. We propose a factor model for near-future demand prediction, and test it on a real-world video workload dataset. All included, we have designed a fully computerized trading environment for cloud bandwidth reservations, which operates effectively at a fine granularity of as small as ten minutes in our trace-driven simulations.