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Journal Articles
- 2022
[j1]Theo Jepsen
, Ali Fattaholmanan, Masoud Moshref, Nate Foster, Antonio Carzaniga, Robert Soulé:
Forwarding and Routing With Packet Subscriptions. IEEE/ACM Trans. Netw. 30(6): 2464-2479 (2022)
Conference and Workshop Papers
- 2023
- [c21]Weitao Wang, Masoud Moshref, Yuliang Li, Gautam Kumar, T. S. Eugene Ng, Neal Cardwell, Nandita Dukkipati:
Poseidon: Efficient, Robust, and Practical Datacenter CC via Deployable INT. NSDI 2023: 255-274 - 2022
- [c20]Saksham Agarwal, Rachit Agarwal, Behnam Montazeri, Masoud Moshref, Khaled Elmeleegy, Luigi Rizzo, Marc Asher de Kruijf, Gautam Kumar, Sylvia Ratnasamy, David E. Culler, Amin Vahdat:
Understanding host interconnect congestion. HotNets 2022: 198-204 - [c19]Mubashir Adnan Qureshi, Yuchung Cheng, Qianwen Yin, Qiaobin Fu, Gautam Kumar, Masoud Moshref, Junhua Yan, Van Jacobson, David Wetherall, Abdul Kabbani:
PLB: congestion signals are simple and effective for network load balancing. SIGCOMM 2022: 207-218 - 2021
- [c18]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik:
Scaling Distributed Machine Learning with In-Network Aggregation. NSDI 2021: 785-808 - 2020
- [c17]Theo Jepsen, Ali Fattaholmanan, Masoud Moshref, Nate Foster, Antonio Carzaniga, Robert Soulé:
Forwarding and routing with packet subscriptions. CoNEXT 2020: 282-294 - [c16]Shuhe Wang, Chen Sun, Zili Meng, Minhu Wang, Jiamin Cao, Mingwei Xu, Jun Bi, Qun Huang, Masoud Moshref, Tong Yang, Hongxin Hu, Gong Zhang:
Martini: Bridging the Gap between Network Measurement and Control Using Switching ASICs. ICNP 2020: 1-12 - 2019
- [c15]Theo Jepsen, Daniel Álvarez, Nate Foster, Changhoon Kim, Jeongkeun Lee, Masoud Moshref, Robert Soulé:
Fast String Searching on PISA. SOSR 2019: 21-28 - 2018
- [c14]Theo Jepsen, Masoud Moshref, Antonio Carzaniga, Nate Foster, Robert Soulé:
Packet Subscriptions for Programmable ASICs. HotNets 2018: 176-183 - [c13]Theo Jepsen, Leandro Pacheco de Sousa, Masoud Moshref, Fernando Pedone, Robert Soulé:
Infinite Resources for Optimistic Concurrency Control. NetCompute@SIGCOMM 2018: 26-32 - [c12]Theo Jepsen, Masoud Moshref, Antonio Carzaniga, Nate Foster, Robert Soulé:
Life in the Fast Lane: A Line-Rate Linear Road. SOSR 2018: 10:1-10:7 - [c11]Omid Alipourfard, Masoud Moshref, Yang Zhou, Tong Yang, Minlan Yu:
A Comparison of Performance and Accuracy of Measurement Algorithms in Software. SOSR 2018: 18:1-18:14 - 2016
- [c10]Masoud Moshref, Minlan Yu, Ramesh Govindan, Amin Vahdat:
Trumpet: Timely and Precise Triggers in Data Centers. SIGCOMM 2016: 129-143 - 2015
- [c9]Masoud Moshref, Minlan Yu, Ramesh Govindan, Amin Vahdat:
SCREAM: sketch resource allocation for software-defined measurement. CoNEXT 2015: 14:1-14:13 - [c8]Omid Alipourfard, Masoud Moshref, Minlan Yu:
Re-evaluating Measurement Algorithms in Software. HotNets 2015: 20:1-20:7 - 2014
- [c7]Masoud Moshref, Apoorv Bhargava, Adhip Gupta, Minlan Yu, Ramesh Govindan:
Flow-level state transition as a new switch primitive for SDN. HotSDN 2014: 61-66 - [c6]Masoud Moshref, Apoorv Bhargava, Adhip Gupta, Minlan Yu, Ramesh Govindan:
Flow-level state transition as a new switch primitive for SDN. SIGCOMM 2014: 377-378 - [c5]Masoud Moshref, Minlan Yu, Ramesh Govindan, Amin Vahdat:
DREAM: dynamic resource allocation for software-defined measurement. SIGCOMM 2014: 419-430 - 2013
- [c4]Masoud Moshref, Abhishek B. Sharma, Harsha V. Madhyastha, Leana Golubchik, Ramesh Govindan:
MRM: delivering predictability and service differentiation in shared compute clusters. SoCC 2013: 27:1 - [c3]Masoud Moshref, Minlan Yu, Abhishek B. Sharma, Ramesh Govindan:
Scalable Rule Management for Data Centers. NSDI 2013: 157-170 - [c2]Masoud Moshref, Minlan Yu, Ramesh Govindan:
Resource/accuracy tradeoffs in software-defined measurement. HotSDN 2013: 73-78 - 2012
- [c1]Masoud Moshref, Minlan Yu, Abhishek B. Sharma, Ramesh Govindan:
vCRIB: Virtualized Rule Management in the Cloud. HotCloud 2012
Informal and Other Publications
- 2019
- [i1]Amedeo Sapio, Marco Canini, Chen-Yu Ho, Jacob Nelson, Panos Kalnis, Changhoon Kim, Arvind Krishnamurthy, Masoud Moshref, Dan R. K. Ports, Peter Richtárik:
Scaling Distributed Machine Learning with In-Network Aggregation. CoRR abs/1903.06701 (2019)
Coauthor Index
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