Predicting Inter-Thread Cache Contention on a Chip Multi-Processor Architecture
HPCA '05 Proceedings of the 11th International Symposium on High-Performance Computer Architecture
CacheScouts: Fine-Grain Monitoring of Shared Caches in CMP Platforms
PACT '07 Proceedings of the 16th International Conference on Parallel Architecture and Compilation Techniques
Verifiable resource accounting for cloud computing services
Proceedings of the 3rd ACM workshop on Cloud computing security workshop
Optimizing datacenter power with memory system levers for guaranteed quality-of-service
Proceedings of the 21st international conference on Parallel architectures and compilation techniques
Towards verifiable resource accounting for outsourced computation
Proceedings of the 9th ACM SIGPLAN/SIGOPS international conference on Virtual execution environments
An equation-based Heap Sizing Rule
Performance Evaluation
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With cloud and utility computing models gaining significant momentum, data centers are increasingly employing virtualization and consolidation as a means to support a large number of disparate applications running simultaneously on a CMP server. In such environments, it is important to meter the usage of resources by each datacenter application so that customers can be charged accordingly. In this paper, we describe a simple metering and chargeback model (pay-as-you-go) and describe a solution based on virtual platform architectures (VPA) to accurately meter visible as well as transparent resources.