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- Artigo Científico
- mar 20
Understanding and Minimizing Disk Contention Effects for Data-Intensive Processing in Virtualized Systems
Power budgeting is a commonly employed solution to reduce the negative consequences of high power consumption of large scale data centers. While various power budgeting techniques and algorithms have been proposed at different levels of data center infrastructures to optimize the power allocation to servers and hosted applications, testing them has been challenging with no available simulation platform that enables such testing for different scenarios and configurations. To facilitate evaluation and comparison of such techniques and algorithms, we introduce a simulation model for Quality-of-Service aware power budgeting and its implementation in CloudSim. We validate the proposed simulation model against a deployment on a real testbed, showcase simulator capabilities, and evaluate its scalability.
https://ieeexplore.ieee.org/abstract/document/8514449/
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Interference-aware Scheduling for Data-processing Frameworks in Container-based Clusters
- 26/10/2019
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Performance Evaluation of Container-Based Virtualization for High Performance Computing Environments
- 26/10/2019
- [rt_reading_time postfix="mins read" postfix_singular="min read"]
A Performance Comparison of Container-Based Virtualization Systems for MapReduce Clusters
- 26/10/2019
- [rt_reading_time postfix="mins read" postfix_singular="min read"]
Towards better manageability of database clusters on cloud computing platforms
- 26/10/2019
- [rt_reading_time postfix="mins read" postfix_singular="min read"]
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