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RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.

B. Li, Y. Wang, R. Wang, C. Tai, R. Iyer, Z. Zhou, A. Herdrich, T. Zhang, A. Haj-Ali, I. Stoica, and K. Asanovic. NetSoft, page 335-343. IEEE, (2020)

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Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Theoretical and algorithmic aspects of congruences between modular Galois representationsX. Taixés i Ventosa. Uni Duisburg-Essen, (2009)

Other publications of authors with the same name

QEI: Query Acceleration Can be Generic and Efficient in the Cloud.Y. Yuan, Y. Wang, R. Wang, R. Chowdhury, C. Tai, and N. Kim. HPCA, page 385-398. IEEE, (2021)SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning SystemsB. Chen, T. Medini, J. Farwell, S. Gobriel, C. Tai, and A. Shrivastava. (2019)cite arxiv:1903.03129Comment: Published at MLSys 2020.RAMBO: Resource Allocation for Microservices Using Bayesian Optimization.Q. Li, B. Li, P. Mercati, R. Illikkal, C. Tai, M. Kishinevsky, and C. Kozyrakis. IEEE Comput. Archit. Lett., 20 (1): 46-49 (2021)Home networking with Universal Plug and Play.B. Miller, T. Nixon, C. Tai, and M. Wood. IEEE Commun. Mag., 39 (12): 104-109 (2001)PROMPT: Learning dynamic resource allocation policies for network applications.D. Penney, B. Li, J. Sydir, L. Chen, C. Tai, S. Lee, E. Walsh, and T. Long. Future Gener. Comput. Syst., (August 2023)DPM-NFV: Dynamic Power Management Framework for 5G User Plane Function using Bayesian Optimization.J. Sydir, B. Li, P. Mercati, C. Tai, R. Iyer, M. Kishinevsky, and B. Serafimov. GLOBECOM, page 4099-4105. IEEE, (2022)RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments.D. Penney, B. Li, L. Chen, J. Sydir, A. Drewek-Ossowicka, R. Illikkal, C. Tai, R. Iyer, and A. Herdrich. CoRR, (2023)Accelerating SLIDE Deep Learning on Modern CPUs: Vectorization, Quantizations, Memory Optimizations, and More.S. Daghaghi, N. Meisburger, M. Zhao, Y. Wu, S. Gobriel, C. Tai, and A. Shrivastava. CoRR, (2021)ORCA: A Network and Architecture Co-design for Offloading us-scale Datacenter Applications.Y. Yuan, J. Huang, Y. Sun, T. Wang, J. Nelson, D. Ports, Y. Wang, R. Wang, C. Tai, and N. Kim. CoRR, (2022)Rambda: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications.Y. Yuan, J. Huang, Y. Sun, T. Wang, J. Nelson, D. Ports, Y. Wang, R. Wang, C. Tai, and N. Kim. HPCA, page 499-515. IEEE, (2023)

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Disambiguation of "Tai, Charlie"

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RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.

Please choose a person to relate this publication to

Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Tai, Charlie"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.

Please choose a person to relate this publication to

Charlie Przetak

Charlie Hargood

Charlie Mahn

Charlie Mansfield

Xavier Taixés i Ventosa

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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RLDRM: Closed Loop Dynamic Cache Allocation with Deep Reinforcement Learning for Network Function Virtualization.