The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Sandpiper: Black-box and gray-box resource management for virtual machines
Open accessAbstract
Virtualization can provide significant benefits in data centers by enabling dynamic virtual machine resizing and migration to eliminate hotspots. We present Sandpiper, a system that automates the task of monitoring and detecting hotspots, determining a new mapping of physical to virtual resources, resizing virtual machines to their new allocations, and initiating any necessary migrations. Sandpiper implements a black-box approach that is fully OS- and application-agnostic and a gray-box approach that exploits OS- and application-level statistics. We implement our techniques in Xen and conduct a detailed evaluation using a mix of CPU, network and memory-intensive applications. Our results show that Sandpiper is able to resolve single server hotspots within 20s and scales well to larger, data center environments. We also show that the gray-box approach can help Sandpiper make more informed decisions, particularly in response to memory pressure.
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Cites
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Xen and the art of virtualization
Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., & Warfield, A. (2003) · ACM SIGOPS Operating Systems Review · doi:10.1145/1165389.945462 · Cited by 5,915
Time Series Analysis, Forecasting and Control.
Kendall, M. G., Box, G. E. P., & Jenkins, G. M. (1971) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344246 · Cited by 2,771
Live migration of virtual machines
Clark, C. J., Fraser, K. A., Hand, S., Hansen, J. G., Jul, E., Limpach, C., Pratt, I., & Warfield, A. (2005) · doi:10.5555/1251203.1251223 · Cited by 2,562
Xen and the art of virtualization
Barham, P., Dragovic, B., Fraser, K., Hand, S., Harris, T., Ho, A., Neugebauer, R., Pratt, I., & Warfield, A. (2003) · Proceedings of the nineteenth ACM symposium on Operating systems principles · doi:10.1145/945445.945462 · Cited by 2,107
Managing energy and server resources in hosting centers
Chase, J. S., Anderson, D. C., Thakar, P. N., Vahdat, A. M., & Doyle, R. P. (2001) · Proceedings of the eighteenth ACM symposium on Operating systems principles · doi:10.1145/502034.502045 · Cited by 1,284
Fast transparent migration for virtual machines
Nelson, M. N., Lim, B.-H., & Hutchins, G. (2005) · Cited by 565
Optimizing the migration of virtual computers
Sapuntzakis, C. P., Chandra, R., Pfaff, B., Chow, J., Lam, M. S., & Rosenblum, M. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844163 · Cited by 408
The design and implementation of Zap: a system for migrating computing environments
Osman, S., Subhraveti, D., Su, G., & Nieh, J. (2002) · ACM SIGOPS Operating Systems Review · doi:10.1145/844128.844162 · Cited by 406
Enforcing Performance Isolation Across Virtual Machines in Xen
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Energy and Performance Management of Green Data Centers: A Profit Maximization Approach
Ghamkhari, M., & Mohsenian-Rad, H. (2013) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2013.2237929 · Cited by 258
Energy-aware Virtual Machine Migration for Cloud Computing - A Firefly Optimization Approach
Kansal, N. J., & Chana, I. (2016) · Journal of Grid Computing · doi:10.1007/s10723-016-9364-0 · Cited by 151
A Survey of Virtual Machine Placement Techniques in a Cloud Data Center
Usmani, Z., & Singh, S. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.02.093 · Cited by 142
Shi, R., Zhang, J., Chu, W., Bao, Q., Jin, X., Gong, C., Zhu, Q., Yu, C., & Rosenberg, S. (2015) · 2015 IEEE International Conference on Services Computing · doi:10.1109/scc.2015.19 · Cited by 74
Optimizing Virtual Machine placement in IaaS data centers: Taxonomy, review and open issues
Talebian, H., Gani, A., Sookhak, M., Abdelatif, A. A., Yousafzai, A., Vasilakos, A. V., & Yu, F. R. (2020) · Cluster Computing · doi:10.1007/s10586-019-02954-w · Cited by 72
Metadata
- Authors
- Wood, T., Shenoy, P., Venkataramani, A., & Yousif, M.
- Venue
- Computer Networks
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 53
- Issue
- 17
- Pages
- 2923-2938
- ISSN
- 1389-1286 (ISSN-L)
- OpenAlex
- W1988497614
- Cited by
- 324
- References
- 19
- FWCI
- 41.49
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.