KONGMING: Performance Prediction in the Cloud via Multidimensional Interference Surrogates
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
As more and more applications are deployed in the cloud, it is important for both the user and the operator of the cloud that the resources of the cloud are utilized efficiently. Virtualization and workload consolidation techniques are pervasively applied in the cloud to increase resource utilization while providing isolated execution environments for different users. While virtualization hides the architectural details of the underlying hardware, it can also increase the variability in application execution times due to heterogeneity in available hardware, and interference from other applications sharing the same hardware resources. This reduces both the productivity of cloud platforms and limits the degree to which software colocation can be used to increase its efficiency.
- Research Organization:
- Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- W-7405-ENG-48
- OSTI ID:
- 1119949
- Report Number(s):
- LLNL-SR-648733
- Country of Publication:
- United States
- Language:
- English
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