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Wei Wang
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Forecasting Cloud Application Workloads with CloudInsight for Predictive Resource Management
IK Kim, W Wang, Y Qi, M Humphrey
IEEE Transactions on Cloud Computing, 2020
782020
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
742013
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
682016
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
682011
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
672019
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
532016
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
492018
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
472014
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
392012
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
322018
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
312018
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
282013
A survey on ARM Cortex A processors
W Wang, T Dey
Disponıvel em: http://www. cs. virginia. edu/skadron/cs8535 s11/ARM Cortex …, 2011
282011
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
272022
PICS: A Public IaaS Cloud Simulator
IK Kim, W Wang, M Humphrey
2015 IEEE 8th International Conference on Cloud Computing, 211-220, 2015
252015
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
232022
KneeScale: Efficient resource scaling for serverless computing at the edge
X Li, P Kang, J Molone, W Wang, P Lama
2022 22nd IEEE International Symposium on Cluster, Cloud and Internet …, 2022
232022
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
232020
TIMER-Cloud: Time-Sensitive VM Provisioning in Resource-Constrained Clouds
R Begam, W Wang, D Zhu
IEEE Transactions on Cloud Computing, 1-1, 2017
222017
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
202021
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