Tian Guo
Cytowane przez
Cytowane przez
SpotOn: A Batch Computing Service for the Spot Market
S Subramany, T Guo, P Sharma, D Irwin, P Shenoy
Symposium on Cloud Computing, 2015
SpotCheck: Designing a Derivative IaaS Cloud on the Spot Market
P Sharma, S Lee, T Guo, D Irwin, P Shenoy
EuroSys'15, 2015
Cost-aware Cloud Bursting for Enterprise Applications
T Guo, U Sharma, P Shenoy, T Wood, S Sahu
Transactions on Internet Technology, 2013
Flint: Batch-Interactive Data-Intensive Processing on Transient Servers
P Sharma, T Guo, X He, D Irwin, P Shenoy
Proceedings of the Eleventh European Conference on Computer Systems (EuroSys), 2016
Seagull: intelligent cloud bursting for enterprise applications
T Guo, U Sharma, T Wood, S Sahu, P Shenoy
2012 {USENIX} Annual Technical Conference ({USENIX}{ATC} 12), 361-366, 2012
Cloud-based or on-device: An empirical study of mobile deep inference
T Guo
2018 IEEE International Conference on Cloud Engineering (IC2E), 184-190, 2018
MODI: Mobile Deep Inference Made Efficient by Edge Computing
SS Ogden, T Guo
USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018
Managing risk in a derivative IaaS cloud
P Sharma, S Lee, T Guo, D Irwin, P Shenoy
IEEE Transactions on Parallel and Distributed Systems 29 (8), 1750-1765, 2017
Analyzing the Efficiency of a Green University Data Center
P Pegus II, B Varghese, T Guo, D Irwin, P Shenoy, A Mahanti, J Culbert, ...
Proceedings of ACM International Conference on Performance Engineering (ICPE), 2016
On the feasibility of cloud-based SDN controllers for residential networks
CR Taylor, T Guo, CA Shue, ME Najd
2017 IEEE Conference on Network Function Virtualization and Software Defined …, 2017
Confidential deep learning: Executing proprietary models on untrusted devices
PM VanNostrand, I Kyriazis, M Cheng, T Guo, RJ Walls
arXiv preprint arXiv:1908.10730, 2019
An experimental evaluation of garbage collectors on big data applications
L Xu, T Guo, W Dou, W Wang, J Wei
The 45th International Conference on Very Large Data Bases (VLDB'19), 2019
Latency-aware virtual desktops optimization in distributed clouds
T Guo, P Shenoy, KK Ramakrishnan, V Gopalakrishnan
Multimedia Systems 24 (1), 73-94, 2018
Few-shot neural architecture search
Y Zhao, L Wang, Y Tian, R Fonseca, T Guo
International Conference on Machine Learning, 12707-12718, 2021
Characterizing the deep neural networks inference performance of mobile applications
SS Ogden, T Guo
arXiv preprint arXiv:1909.04783, 2019
VMShadow: Optimizing The Performance of Latency-sensitive Virtual Desktops in Distributed Clouds
T Guo, V Gopalakrishnan, KK Ramakrishnan, P Shenoy, ...
Perseus: Characterizing performance and cost of multi-tenant serving for cnn models
M LeMay, S Li, T Guo
2020 IEEE International Conference on Cloud Engineering (IC2E), 66-72, 2020
GeoScale: Providing Geo-Elasticity in Distributed Clouds
T Guo, P Shenoy, H Hacigu ̈mu ̈s
IEEE International Conference on Cloud Engineering (IC2E), 2016
Vmshadow: Optimizing the performance of virtual desktops in distributed clouds
T Guo, V Gopalakrishnan, KK Ramakrishnan, P Shenoy, ...
Proceedings of the 4th annual Symposium on Cloud Computing, 1-2, 2013
PointAR: Efficient Lighting Estimation for Mobile Augmented Reality
Y Zhao, T Guo
European Conference on Computer Vision, 678-693, 2020
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