| A regression-based analytic model for dynamic resource provisioning of multi-tier applications Q Zhang, L Cherkasova, E Smirni Fourth International Conference on Autonomic Computing (ICAC'07), 27-27, 2007 | 353 | 2007 |
| Workload-aware load balancing for clustered web servers Q Zhang, A Riska, W Sun, E Smirni, G Ciardo IEEE Transactions on Parallel and Distributed Systems 16 (3), 219-233, 2005 | 179 | 2005 |
| Anomaly? application change? or workload change? towards automated detection of application performance anomaly and change L Cherkasova, K Ozonat, N Mi, J Symons, E Smirni 2008 IEEE International Conference on Dependable Systems and Networks With …, 2008 | 169 | 2008 |
| Multiple-queue backfilling scheduling with priorities and reservations for parallel systems BG Lawson, E Smirni Workshop on Job Scheduling Strategies for Parallel Processing, 72-87, 2002 | 147 | 2002 |
| Burstiness in multi-tier applications: Symptoms, causes, and new models N Mi, G Casale, L Cherkasova, E Smirni ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2008 | 136 | 2008 |
| Equiload: a load balancing policy for clustered web servers G Ciardo, A Riska, E Smirni Performance Evaluation 46 (2-3), 101-124, 2001 | 135 | 2001 |
| Robust partitioning policies of multiprocessor systems E Rosti, E Smirni, LW Dowdy, G Serazzi, BM Carlson Performance Evaluation 19 (2-3), 141-165, 1994 | 126 | 1994 |
| Workload characterization of input/output intensive parallel applications E Smirni, DA Reed International conference on modelling techniques and tools for computer …, 1997 | 125 | 1997 |
| Injecting realistic burstiness to a traditional client-server benchmark N Mi, G Casale, L Cherkasova, E Smirni Proceedings of the 6th international conference on Autonomic computing, 149-158, 2009 | 113 | 2009 |
| I/O requirements of scientific applications: An evolutionary view E Smirni, RA Aydt, AA Chien, DA Reed Proceedings of 5th IEEE International Symposium on High Performance …, 1996 | 113 | 1996 |
| Automated anomaly detection and performance modeling of enterprise applications L Cherkasova, K Ozonat, N Mi, J Symons, E Smirni ACM Transactions on Computer Systems (TOCS) 27 (3), 1-32, 2009 | 111 | 2009 |
| Lessons from characterizing the input/output behavior of parallel scientific applications E Smirni, DA Reed Performance Evaluation 33 (1), 27-44, 1998 | 95 | 1998 |
| Trace data characterization and fitting for Markov modeling G Casale, EZ Zhang, E Smirni Performance Evaluation 67 (2), 61-79, 2010 | 92 | 2010 |
| Data centers in the cloud: A large scale performance study R Birke, LY Chen, E Smirni 2012 IEEE Fifth International Conference on Cloud Computing, 336-343, 2012 | 91 | 2012 |
| An EM-based technique for approximating long-tailed data sets with PH distributions A Riska, V Diev, E Smirni Performance Evaluation 55 (1-2), 147-164, 2004 | 91 | 2004 |
| Metrics and benchmarks for self-aware computing systems N Herbst, S Becker, S Kounev, H Koziolek, M Maggio, A Milenkoski, ... Self-Aware Computing Systems, 437-464, 2017 | 89 | 2017 |
| R-capriccio: A capacity planning and anomaly detection tool for enterprise services with live workloads Q Zhang, L Cherkasova, G Mathews, W Greene, E Smirni ACM/IFIP/USENIX International Conference on Distributed Systems Platforms …, 2007 | 84 | 2007 |
| KPC-toolbox: Simple yet effective trace fitting using markovian arrival processes G Casale, EZ Zhang, E Smirni 2008 Fifth International Conference on Quantitative Evaluation of Systems, 83-92, 2008 | 83 | 2008 |
| A regression-based analytic model for capacity planning of multi-tier applications Q Zhang, L Cherkasova, N Mi, E Smirni Cluster Computing 11 (3), 197-211, 2008 | 83 | 2008 |
| The impact of I/O on program behavior and parallel scheduling E Rosti, G Serazzi, E Smirni, MS Squillante Proceedings of the 1998 ACM SIGMETRICS joint international conference on …, 1998 | 82 | 1998 |
