Reqos: Reactive static/dynamic compilation for qos in warehouse scale computers L Tang, J Mars, W Wang, T Dey, ML Soffa ACM SIGPLAN Notices 48 (4), 89-100, 2013 | 71 | 2013 |
Predicting the memory bandwidth and optimal core allocations for multi-threaded applications on large-scale NUMA machines W Wang, JW Davidson, ML Soffa 2016 IEEE International Symposium on High Performance Computer Architecture …, 2016 | 67 | 2016 |
Characterizing multi-threaded applications based on shared-resource contention T Dey, W Wang, JW Davidson, ML Soffa (IEEE ISPASS) IEEE International Symposium on Performance Analysis of …, 2011 | 66 | 2011 |
A Statistics-Based Performance Testing Methodology for Cloud Applications S He, G Manns, J Saunders, W Wang, L Pollock, ML Soffa Foundations of Software Engineering (FSE), 2019 | 58 | 2019 |
Forecasting Cloud Application Workloads with CloudInsight for Predictive Resource Management IK Kim, W Wang, Y Qi, M Humphrey IEEE Transactions on Cloud Computing, 2020 | 56 | 2020 |
Empirical Evaluation of Workload Forecasting Techniques for Predictive Cloud Resource Scaling IK Kim, W Wang, Y Qi, M Humphrey 2016 IEEE International Conference on Cloud Computing (CLOUD'16), San …, 2016 | 49 | 2016 |
DraMon: Predicting memory bandwidth usage of multi-threaded programs with high accuracy and low overhead W Wang, T Dey, JW Davidson, ML Soffa 2014 IEEE 20th International Symposium on High Performance Computer …, 2014 | 44 | 2014 |
Performance analysis of thread mappings with a holistic view of the hardware resources W Wang, T Dey, J Mars, L Tang, JW Davidson, ML Soffa 2012 IEEE International Symposium on Performance Analysis of Systems …, 2012 | 41 | 2012 |
CloudInsight: Utilizing a Council of Experts to Predict Future Cloud Application Workloads IK Kim, W Wang, Y Qi, M Humphrey 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), 41-48, 2018 | 40 | 2018 |
Testing Cloud Applications under Cloud-Uncertainty Performance Effects W Wang, N Tian, S Huang, S He, A Srivastava, ML Soffa, L Pollock 2018 IEEE 11th International Conference on Software Testing, Verification …, 2018 | 29 | 2018 |
ReSense: Mapping dynamic workloads of colocated multithreaded applications using resource sensitivity T Dey, W Wang, JW Davidson, ML Soffa ACM Transactions on Architecture and Code Optimization (TACO) 10 (4), 1-25, 2013 | 28 | 2013 |
iReplayer: in-situ and identical record-and-replay for multithreaded applications H Liu, S Silvestro, W Wang, C Tian, T Liu Proceedings of the 39th ACM SIGPLAN Conference on Programming Language …, 2018 | 27 | 2018 |
A survey on ARM Cortex A processors W Wang, T Dey Disponıvel em: http://www. cs. virginia. edu/skadron/cs8535 s11/ARM Cortex …, 2011 | 27 | 2011 |
PICS: A Public IaaS Cloud Simulator IK Kim, W Wang, M Humphrey 2015 IEEE 8th International Conference on Cloud Computing, 211-220, 2015 | 25 | 2015 |
A Self-Optimized Generic Workload Prediction Framework for Cloud Computing VK Jayakumar, J Lee, IK Kim, W Wang 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 20 | 2020 |
TIMER-Cloud: Time-Sensitive VM Provisioning in Resource-Constrained Clouds R Begam, W Wang, D Zhu IEEE Transactions on Cloud Computing, 1-1, 2017 | 20 | 2017 |
EdgeFaaSBench: Benchmarking Edge Devices Using Serverless Computing KR Rajput, CD Kulkarni, B Cho, W Wang, IK Kim 2022 IEEE International Conference on Edge Computing and Communications …, 2022 | 16 | 2022 |
An Empirical Analysis of VM Startup Times in Public IaaS Clouds J Hao, T Jiang, W Wang, IK Kim 2021 IEEE 14th International Conference on Cloud Computing (CLOUD), 398-403, 2021 | 15 | 2021 |
Wasserstein Adversarial Transformer for Cloud Workload Prediction S Arbat, VK Jayakumar, J Lee, W Wang, IK Kim Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 12433 …, 2022 | 14 | 2022 |
A Benchmarking Framework for Interactive 3D Applications in the Cloud T Liu, S He, S Huang, D Tsang, L Tang, J Mars, W Wang 2020 53rd Annual IEEE/ACM International Symposium on Microarchitecture …, 2020 | 13 | 2020 |