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ORCIDAditya Akella
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- affiliation: University of Texas at Austin, TX, USA
- affiliation (former): University of Wisconsin-Madison, Madison, USA
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2020 – today
- 2023
[j26]Jiaxin Lin
, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella:
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. Proc. ACM Meas. Anal. Comput. Syst. 7(2): 36:1-36:23 (2023)- [j25]Hokeun Cha, Xiangpeng Hao, Tianzheng Wang, Huanchen Zhang, Aditya Akella, Xiangyao Yu:
Blink-hash: An Adaptive Hybrid Index for In-Memory Time-Series Databases. Proc. VLDB Endow. 16(6): 1235-1248 (2023) - [j24]Divyanshu Saxena, Tao Ji, Arjun Singhvi, Junaid Khalid, Aditya Akella:
Navigating Performance-Efficiency Tradeoffs in Serverless Computing: Deduplication to the Rescue! ACM SIGOPS Oper. Syst. Rev. 57(1): 47-53 (2023) - [c152]Divyanshu Saxena, William Zhang, Madhav Tummala, Saksham Goel, Aditya Akella:
Invited Paper: Towards Efficient Microservice Communication. ApPLIED@PODC 2023: 8:1-8:5 - [c151]Henrique Fingler, Isha Tarte, Hangchen Yu, Ariel Szekely, Bodun Hu, Aditya Akella, Christopher J. Rossbach:
Towards a Machine Learning-Assisted Kernel with LAKE. ASPLOS (2) 2023: 846-861 - [c150]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Efficient Federated Learning via Scalable Client Clustering. SoCC 2023: 125-141 - [c149]Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella:
Yama: Providing Performance Isolation for Black-Box Offloads. SoCC 2023: 572-587 - [c148]Brian Chang, Aditya Akella, Loris D'Antoni, Kausik Subramanian:
Learned Load Balancing. ICDCN 2023: 177-187 - [c147]Yeonju Ro, Zhangyang Wang, Vijay Chidambaram, Aditya Akella:
Lowering the Pre-training Tax for Gradient-based Subset Training: A Lightweight Distributed Pre-Training Toolkit. ICML 2023: 29130-29142 - [c146]Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella:
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning. NSDI 2023: 703-723 - [c145]Kshiteej Mahajan, Ching-Hsiang Chu, Srinivas Sridharan, Aditya Akella:
Better Together: Jointly Optimizing ML Collective Scheduling and Execution Planning using SYNDICATE. NSDI 2023: 809-824 - [c144]Jiaxin Lin, Adney Cardoza, Tarannum Khan, Yeonju Ro, Brent E. Stephens, Hassan M. G. Wassel, Aditya Akella:
RingLeader: Efficiently Offloading Intra-Server Orchestration to NICs. NSDI 2023: 1293-1308 - [c143]Nikita Lazarev, Tao Ji, Anuj Kalia, Daehyeok Kim, Ilias Marinos, Francis Y. Yan, Christina Delimitrou, Zhiru Zhang, Aditya Akella:
Resilient Baseband Processing in Virtualized RANs with Slingshot. SIGCOMM 2023: 654-667 - [c142]Jiayi Chen, Nihal Sharma, Tarannum Khan, Shu Liu, Brian Chang, Aditya Akella, Sanjay Shakkottai, Ramesh K. Sitaraman:
Darwin: Flexible Learning-based CDN Caching. SIGCOMM 2023: 981-999 - [c141]Jiaxin Lin, Tao Ji, Xiangpeng Hao, Hokeun Cha, Yanfang Le, Xiangyao Yu, Aditya Akella:
Towards Accelerating Data Intensive Application's Shuffle Process Using SmartNICs. SIGMETRICS (Abstracts) 2023: 9-10 - [i25]Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella:
Quantitative Verification of Scheduling Heuristics. CoRR abs/2301.04205 (2023) - [i24]Yanfang Le, Jeongkeun Lee, Jeremias Blendin, Jiayi Chen, Georgios Nikolaidis, Rong Pan, Robert Soulé, Aditya Akella, Pedro Yebenes Segura, Arjun Singhvi, Yuliang Li, Qingkai Meng, Changhoon Kim, Serhat Arslan:
SFC: Near-Source Congestion Signaling and Flow Control. CoRR abs/2305.00538 (2023) - [i23]Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. CoRR abs/2308.00852 (2023) - [i22]Le Xu, Divyanshu Saxena, Neeraja J. Yadwadkar, Aditya Akella, Indranil Gupta:
Dirigo: Self-scaling Stateful Actors For Serverless Real-time Data Processing. CoRR abs/2308.03615 (2023) - [i21]Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella:
ChainedFilter: Combining Membership Filters by Chain Rule. CoRR abs/2308.13632 (2023) - [i20]Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella:
MOSEL: Inference Serving Using Dynamic Modality Selection. CoRR abs/2310.18481 (2023) - 2022
- [c140]Maruth Goyal, Aditya Akella:
Think before you shuffle: data-driven shuffles for geo-distributed analytics. BiDEDE@SIGMOD 2022: 10:1-10:6 - [c139]Anurag Khandelwal, Yupeng Tang, Rachit Agarwal, Aditya Akella, Ion Stoica:
Jiffy: elastic far-memory for stateful serverless analytics. EuroSys 2022: 697-713 - [c138]Divyanshu Saxena, Tao Ji, Arjun Singhvi, Junaid Khalid, Aditya Akella:
Memory deduplication for serverless computing with Medes. EuroSys 2022: 714-729 - [c137]Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna:
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. HOTI 2022: 39-48 - [c136]Sudarsanan Rajasekaran, Manya Ghobadi, Gautam Kumar, Aditya Akella:
Congestion control in machine learning clusters. HotNets 2022: 235-242 - [i19]Juncheng Gu, Mosharaf Chowdhury, Kang G. Shin, Aditya Akella:
Elastic Model Aggregation with Parameter Service. CoRR abs/2204.03211 (2022) - [i18]Tarannum Khan, Saeed Rashidi, Srinivas Sridharan, Pallavi Shurpali, Aditya Akella, Tushar Krishna:
Impact of RoCE Congestion Control Policies on Distributed Training of DNNs. CoRR abs/2207.10898 (2022) - [i17]Pengfei Zheng, Rui Pan, Tarannum Khan, Shivaram Venkataraman, Aditya Akella:
Shockwave: Fair and Efficient Cluster Scheduling for Dynamic Adaptation in Machine Learning. CoRR abs/2210.00093 (2022) - [i16]Jiachen Liu, Fan Lai, Yinwei Dai, Aditya Akella, Harsha V. Madhyastha, Mosharaf Chowdhury:
Auxo: Heterogeneity-Mitigating Federated Learning via Scalable Client Clustering. CoRR abs/2210.16656 (2022) - 2021
- [c135]Arjun Singhvi, Arjun Balasubramanian, Kevin Houck, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella:
Atoll: A Scalable Low-Latency Serverless Platform. SoCC 2021: 138-152 - [c134]Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing more by doing less: how structured partial backpropagation improves deep learning clusters. DistributedML@CoNEXT 2021: 15-21 - [c133]Brent E. Stephens, Darius Grassi, Hamidreza Almasi, Tao Ji, Balajee Vamanan, Aditya Akella:
TCP is Harmful to In-Network Computing: Designing a Message Transport Protocol (MTP). HotNets 2021: 61-68 - [c132]Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Hongyi Liu, Matty Kadosh, Alan Lo, Aditya Akella, Thomas Anderson, Arvind Krishnamurthy, T. S. Eugene Ng, Ang Chen:
A Vision for Runtime Programmable Networks. HotNets 2021: 91-98 - [c131]Anubhavnidhi Abhashkumar, Kausik Subramanian, Alexey Andreyev, Hyojeong Kim, Nanda Kishore Salem, Jingyi Yang, Petr Lapukhov, Aditya Akella, Hongyi Zeng:
Running BGP in Data Centers at Scale. NSDI 2021: 65-81 - [c130]Robert Grandl, Arjun Singhvi, Raajay Viswanathan, Aditya Akella:
Whiz: Data-Driven Analytics Execution. NSDI 2021: 407-423 - [c129]ChonLam Lao, Yanfang Le, Kshiteej Mahajan, Yixi Chen, Wenfei Wu, Aditya Akella, Michael M. Swift:
ATP: In-network Aggregation for Multi-tenant Learning. NSDI 2021: 741-761 - [c128]Arjun Singhvi, Aditya Akella, Maggie Anderson, Rob Cauble, Harshad Deshmukh, Dan Gibson, Milo M. K. Martin, Amanda Strominger, Thomas F. Wenisch, Amin Vahdat:
CliqueMap: productionizing an RMA-based distributed caching system. SIGCOMM 2021: 93-105 - [c127]Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella:
D2R: Policy-Compliant Fast Reroute. SOSR 2021: 148-161 - [i15]Yanfang Le, Radhika Niranjan Mysore, Lalith Suresh, Gerd Zellweger, Sujata Banerjee, Aditya Akella, Michael M. Swift:
PL2: Towards Predictable Low Latency in Rack-Scale Networks. CoRR abs/2101.06537 (2021) - [i14]Arjun Balasubramanian, Adarsh Kumar, Yuhan Liu, Han Cao, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Learned Caches. CoRR abs/2101.07344 (2021) - [i13]Adarsh Kumar, Kausik Subramanian, Shivaram Venkataraman, Aditya Akella:
Doing More by Doing Less: How Structured Partial Backpropagation Improves Deep Learning Clusters. CoRR abs/2111.10672 (2021) - 2020
- [c126]Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee:
SNF: serverless network functions. SoCC 2020: 296-310 - [c125]Raajay Viswanathan, Arjun Balasubramanian, Aditya Akella:
Network-accelerated distributed machine learning for multi-tenant settings. SoCC 2020: 447-461 - [c124]Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella:
AED: incrementally synthesizing policy-compliant and manageable configurations. CoNEXT 2020: 482-495 - [c123]Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella:
Tiramisu: Fast Multilayer Network Verification. NSDI 2020: 201-219 - [c122]Kaiyuan Zhang, Danyang Zhuo, Aditya Akella, Arvind Krishnamurthy, Xi Wang:
Automated Verification of Customizable Middlebox Properties with Gravel. NSDI 2020: 221-239 - [c121]Farnaz Yousefi, Anubhavnidhi Abhashkumar, Kausik Subramanian, Kartik Hans, Soudeh Ghorbani, Aditya Akella:
Liveness Verification of Stateful Network Functions. NSDI 2020: 257-272 - [c120]Kshiteej Mahajan, Arjun Balasubramanian, Arjun Singhvi, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla:
Themis: Fair and Efficient GPU Cluster Scheduling. NSDI 2020: 289-304 - [c119]Jiaxin Lin, Kiran Patel, Brent E. Stephens, Anirudh Sivaraman, Aditya Akella:
PANIC: A High-Performance Programmable NIC for Multi-tenant Networks. OSDI 2020: 243-259 - [c118]Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella:
Detecting network load violations for distributed control planes. PLDI 2020: 974-988 - [c117]Arjun Singhvi, Aditya Akella, Dan Gibson, Thomas F. Wenisch, Monica Wong-Chan, Sean Clark, Milo M. K. Martin, Moray McLaren, Prashant Chandra, Rob Cauble, Hassan M. G. Wassel, Behnam Montazeri, Simon L. Sabato, Joel Scherpelz, Amin Vahdat:
1RMA: Re-envisioning Remote Memory Access for Multi-tenant Datacenters. SIGCOMM 2020: 708-721 - [i12]Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Freezing. CoRR abs/2002.02645 (2020)
2010 – 2019
- 2019
- [c116]Yanfang Le, Mojtaba MalekpourShahraki, Brent E. Stephens, Aditya Akella, Michael M. Swift:
On the Impact of Cluster Configuration on RoCE Application Design. APNet 2019: 64-70 - [c115]Adarsh Kumar, Arjun Balasubramanian, Shivaram Venkataraman, Aditya Akella:
Accelerating Deep Learning Inference via Freezing. HotCloud 2019 - [c114]Brent E. Stephens, Aditya Akella, Michael M. Swift:
Loom: Flexible and Efficient NIC Packet Scheduling. NSDI 2019: 33-46 - [c113]Junaid Khalid, Aditya Akella:
Correctness and Performance for Stateful Chained Network Functions. NSDI 2019: 501-516 - [c112]Dmitry Duplyakin, Robert Ricci, Aleksander Maricq, Gary Wong, Jonathon Duerig, Eric Eide, Leigh Stoller, Mike Hibler, David Johnson, Kirk Webb, Aditya Akella, Kuang-Ching Wang, Glenn Ricart, Larry Landweber, Chip Elliott, Michael Zink, Emmanuel Cecchet, Snigdhaswin Kar, Prabodh Mishra:
The Design and Operation of CloudLab. USENIX Annual Technical Conference 2019: 1-14 - [i11]Anubhavnidhi Abhashkumar, Aaron Gember-Jacobson, Aditya Akella:
Tiramisu: Fast and General Network Verification. CoRR abs/1906.02043 (2019) - [i10]Raajay Viswanathan, Aditya Akella:
Network-accelerated Distributed Machine Learning Using MLFabric. CoRR abs/1907.00434 (2019) - [i9]Kshiteej Mahajan, Arjun Singhvi, Arjun Balasubramanian, Varun Batra, Surya Teja Chavali, Shivaram Venkataraman, Aditya Akella, Amar Phanishayee, Shuchi Chawla:
Themis: Fair and Efficient GPU Cluster Scheduling for Machine Learning Workloads. CoRR abs/1907.01484 (2019) - [i8]Arjun Singhvi, Junaid Khalid, Aditya Akella, Sujata Banerjee:
SNF: Serverless Network Functions. CoRR abs/1910.07700 (2019) - [i7]Arjun Singhvi, Kevin Houck, Arjun Balasubramanian, Mohammed Danish Shaikh, Shivaram Venkataraman, Aditya Akella:
Archipelago: A Scalable Low-Latency Serverless Platform. CoRR abs/1911.09849 (2019) - [i6]Kausik Subramanian, Anubhavnidhi Abhashkumar, Loris D'Antoni, Aditya Akella:
D2R: Dataplane-Only Policy-Compliant Routing Under Failures. CoRR abs/1912.02402 (2019) - 2018
- [j23]Kausik Subramanian, Loris D'Antoni, Aditya Akella:
Synthesis of Fault-Tolerant Distributed Router Configurations. Proc. ACM Meas. Anal. Comput. Syst. 2(1): 22:1-22:26 (2018) - [j22]Adam Wierman, Aditya Akella:
Message from the Editors. Proc. ACM Meas. Anal. Comput. Syst. 2(2): 23:1 (2018) - [j21]Paul Suganthan G. C., Adel Ardalan, AnHai Doan, Aditya Akella:
Smurf: Self-Service String Matching Using Random Forests. Proc. VLDB Endow. 12(3): 278-291 (2018) - [c111]Yanfang Le, Brent E. Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift:
RoGUE: RDMA over Generic Unconverged Ethernet. SoCC 2018: 225-236 - [c110]Anand Padmanabha Iyer, Aurojit Panda, Shivaram Venkataraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Bridging the GAP: towards approximate graph analytics. GRADES/NDA@SIGMOD/PODS 2018: 10:1-10:5 - [c109]Anand Padmanabha Iyer, Aurojit Panda, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica:
Monarch: Gaining Command on Geo-Distributed Graph Analytics. HotCloud 2018 - [c108]Brent E. Stephens, Aditya Akella, Michael M. Swift:
Your Programmable NIC Should be a Programmable Switch. HotNets 2018: 36-42 - [c107]Junaid Khalid, Eric Rozner, Wesley M. Felter, Cong Xu, Karthick Rajamani, Alexandre Ferreira, Aditya Akella:
Iron: Isolating Network-based CPU in Container Environments. NSDI 2018: 313-328 - [c106]Kshiteej Mahajan, Mosharaf Chowdhury, Aditya Akella, Shuchi Chawla:
Dynamic Query Re-Planning using QOOP. OSDI 2018: 253-267 - [c105]Kausik Subramanian, Loris D'Antoni, Aditya Akella:
Synthesis of Fault-Tolerant Distributed Router Configurations. SIGMETRICS (Abstracts) 2018: 87-89 - [e6]Konstantinos Psounis, Aditya Akella, Adam Wierman:
Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2018, Irvine, CA, USA, June 18-22, 2018. ACM 2018 [contents] - 2017
- [j20]Jay Aikat, Aditya Akella, Jeffrey S. Chase, Ari Juels, Michael K. Reiter, Thomas Ristenpart, Vyas Sekar, Michael M. Swift:
Rethinking Security in the Era of Cloud Computing. IEEE Secur. Priv. 15(3): 60-69 (2017) - [c104]Keqiang He, Weite Qin, Qiwei Zhang, Wenfei Wu, Junjie Yang, Tian Pan, Chengchen Hu, Jiao Zhang, Brent E. Stephens, Aditya Akella, Ying Zhang:
Low Latency Software Rate Limiters for Cloud Networks. APNet 2017: 78-84 - [c103]Yanfang Le, Hyunseok Chang, Sarit Mukherjee, Limin Wang, Aditya Akella, Michael M. Swift, T. V. Lakshman:
UNO: uniflying host and smart NIC offload for flexible packet processing. SoCC 2017: 506-519 - [c102]Anubhavnidhi Abhashkumar, Joon-Myung Kang, Sujata Banerjee, Aditya Akella, Ying Zhang, Wenfei Wu:
Supporting Diverse Dynamic Intent-based Policies using Janus. CoNEXT 2017: 296-309 - [c101]Arjun Singhvi, Sujata Banerjee, Yotam Harchol, Aditya Akella, Mark Peek, Pontus Rydin:
Granular Computing and Network Intensive Applications: Friends or Foes? HotNets 2017: 157-163 - [c100]Kausik Subramanian, Loris D'Antoni, Aditya Akella:
Genesis: synthesizing forwarding tables in multi-tenant networks. POPL 2017: 572-585 - [c99]Raja R. Sambasivan, David Tran-Lam, Aditya Akella, Peter Steenkiste:
Bootstrapping evolvability for inter-domain routing with D-BGP. SIGCOMM 2017: 474-487 - [c98]Aaron Gember-Jacobson, Aditya Akella, Ratul Mahajan, Hongqiang Harry Liu:
Automatically Repairing Network Control Planes Using an Abstract Representation. SOSP 2017: 359-373 - [c97]Anubhavnidhi Abhashkumar, Jeongkeun Lee, Jean Tourrilhes, Sujata Banerjee, Wenfei Wu, Joon-Myung Kang, Aditya Akella:
P5: Policy-driven optimization of P4 pipeline. SOSR 2017: 136-142 - [c96]Brent E. Stephens, Arjun Singhvi, Aditya Akella, Michael M. Swift:
Titan: Fair Packet Scheduling for Commodity Multiqueue NICs. USENIX Annual Technical Conference 2017: 431-444 - [e5]Aditya Akella, Jon Howell:
14th USENIX Symposium on Networked Systems Design and Implementation, NSDI 2017, Boston, MA, USA, March 27-29, 2017. USENIX Association 2017, ISBN 978-1-931971-37-9 [contents] - [i5]Robert Grandl, Arjun Singhvi, Aditya Akella:
Fast and Flexible Data Analytics with F2. CoRR abs/1703.10272 (2017) - 2016
- [j19]Aditya Akella:
ACM SIGCOMM Student Mentoring Column: On Testbeds and Datasets. Comput. Commun. Rev. 46(2): 40-42 (2016) - [j18]Aditya Akella:
The student mentoring column. Comput. Commun. Rev. 46(3): 13:1 (2016) - [j17]Ashok Anand, Athula Balachandran, Aditya Akella, Vyas Sekar, Srinivasan Seshan:
Enhancing Video Accessibility and Availability Using Information-Bound References. IEEE/ACM Trans. Netw. 24(2): 1223-1236 (2016) - [c95]Hongqiang Harry Liu, Raajay Viswanathan, Matt Calder, Aditya Akella, Ratul Mahajan, Jitendra Padhye, Ming Zhang:
Efficiently Delivering Online Services over Integrated Infrastructure. NSDI 2016: 77-90 - [c94]Junaid Khalid, Aaron Gember-Jacobson, Roney Michael, Anubhavnidhi Abhashkumar, Aditya Akella:
Paving the Way for NFV: Simplifying Middlebox Modifications Using StateAlyzr. NSDI 2016: 239-253 - [c93]Robert Grandl, Mosharaf Chowdhury, Aditya Akella, Ganesh Ananthanarayanan:
Altruistic Scheduling in Multi-Resource Clusters. OSDI 2016: 65-80 - [c92]Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan Kulkarni:
GRAPHENE: Packing and Dependency-Aware Scheduling for Data-Parallel Clusters. OSDI 2016: 81-97 - [c91]Raajay Viswanathan, Ganesh Ananthanarayanan, Aditya Akella:
CLARINET: WAN-Aware Optimization for Analytics Queries. OSDI 2016: 435-450 - [c90]Junaid Khalid, Mark Coatsworth, Aaron Gember-Jacobson, Aditya Akella:
A Standardized Southbound API for VNF Management. HotMiddlebox@SIGCOMM 2016: 38-43 - [c89]Keqiang He, Eric Rozner, Kanak Agarwal, Yu (Jason) Gu, Wes Felter, John B. Carter, Aditya Akella:
AC/DC TCP: Virtual Congestion Control Enforcement for Datacenter Networks. SIGCOMM 2016: 244-257 - [c88]Aaron Gember-Jacobson, Raajay Viswanathan, Aditya Akella, Ratul Mahajan:
Fast Control Plane Analysis Using an Abstract Representation. SIGCOMM 2016: 300-313 - [i4]Robert Grandl, Srikanth Kandula, Sriram Rao, Aditya Akella, Janardhan Kulkarni:
Do the Hard Stuff First: Scheduling Dependent Computations in Data-Analytics Clusters. CoRR abs/1604.07371 (2016) - [i3]Junaid Khalid, Aditya Akella:
StreamNF: Performance and Correctness for Stateful Chained NFs. CoRR abs/1612.01497 (2016) - 2015
- [j16]Aditya Akella:
ACM SIGCOMM Student Mentoring Column. Comput. Commun. Rev. 45(1): 26-27 (2015) - [j15]Aditya Akella:
ACM SIGCOMM Student Mentoring Column. Comput. Commun. Rev. 45(2): 51-52 (2015) - [j14]Aditya Akella:
ACM SIGCOMM Student Mentoring Column. Comput. Commun. Rev. 45(3): 49-50 (2015) - [j13]Aditya Akella:
ACM SIGCOMM Student Mentoring Column: Various Student Questions. Comput. Commun. Rev. 45(5): 43-44 (2015) - [j12]Aditya Akella:
Experimenting with Next-Generation Cloud Architectures Using CloudLab. IEEE Internet Comput. 19(5): 77-81 (2015) - [c87]Liang Wang, Kevin P. Dyer, Aditya Akella, Thomas Ristenpart, Thomas Shrimpton:
Seeing through Network-Protocol Obfuscation. CCS 2015: 57-69 - [c86]Raja R. Sambasivan, David Tran-Lam, Aditya Akella, Peter Steenkiste:
Bootstrapping Evolvability for Inter-Domain Routing. HotNets 2015: 12:1-12:7 - [c85]Aditya Akella, Theophilus Benson, Balakrishnan Chandrasekaran, Cheng Huang, Bruce M. Maggs, David A. Maltz:
A Universal Approach to Data Center Network Design. ICDCN 2015: 41:1-41:10 - [c84]Ashok Anand, Mehrdad Reshadi, Bowei Du, Hariharan Kolam, Sharad Jaiswal, Aditya Akella:
A case for application-managed cache for browser. ICME 2015: 1-6 - [c83]Aaron Gember-Jacobson, Wenfei Wu, Xiujun Li, Aditya Akella, Ratul Mahajan:
Management Plane Analytics. Internet Measurement Conference 2015: 395-408 - [c82]Wenfei Wu, Keqiang He, Aditya Akella:
PerfSight: Performance Diagnosis for Software Dataplanes. Internet Measurement Conference 2015: 409-421 - [c81]Chaithan Prakash, Jeongkeun Lee, Yoshio Turner, Joon-Myung Kang, Aditya Akella, Sujata Banerjee, Charles Clark, Yadi Ma, Puneet Sharma, Ying Zhang:
PGA: Using Graphs to Express and Automatically Reconcile Network Policies. SIGCOMM 2015: 29-42 - [c80]Aaron Gember-Jacobson, Aditya Akella:
Improving the Safety, Scalability, and Efficiency of Network Function State Transfers. HotMiddlebox@SIGCOMM 2015: 43-48 - [c79]Jeongkeun Lee, Joon-Myung Kang, Chaithan Prakash, Yoshio Turner, Aditya Akella, Charles Clark, Yadi Ma, Puneet Sharma, Ying Zhang:
Network Policy Whiteboarding and Composition. SIGCOMM 2015: 373-374 - [c78]Qifan Pu, Ganesh Ananthanarayanan, Peter Bodík, Srikanth Kandula, Aditya Akella, Paramvir Bahl, Ion Stoica:
Low Latency Geo-distributed Data Analytics. SIGCOMM 2015: 421-434 - [c77]Keqiang He, Eric Rozner, Kanak Agarwal, Wes Felter, John B. Carter, Aditya Akella:
Presto: Edge-based Load Balancing for Fast Datacenter Networks. SIGCOMM 2015: 465-478 - [c76]Keqiang He, Junaid Khalid, Sourav Das, Aaron Gember-Jacobson, Chaithan Prakash, Aditya Akella, Li Erran Li, Marina Thottan:
Latency in Software Defined Networks: Measurements and Mitigation Techniques. SIGMETRICS 2015: 435-436 - [c75]Keqiang He, Junaid Khalid,