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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
- 2024
[j28]Brian Chang
, Kausik Subramanian, Loris D'Antoni, Aditya Akella:
Learned load balancing. Theor. Comput. Sci. 1003: 114611 (2024)- [c154]Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. NSDI 2024 - [i31]Haoyu Li, Yuchen Xu, Jiayi Chen, Rohit Dwivedula, Wenfei Wu, Keqiang He, Aditya Akella, Daehyeok Kim:
Accelerating Distributed Deep Learning using Lossless Homomorphic Compression. CoRR abs/2402.07529 (2024) - [i30]Ajay Jaiswal, Bodun Hu, Lu Yin, Yeonju Ro, Shiwei Liu, Tianlong Chen, Aditya Akella:
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping. CoRR abs/2404.03865 (2024) - [i29]Jiamin Li, Le Xu, Hong Xu, Aditya Akella:
BlockLLM: Multi-tenant Finer-grained Serving for Large Language Models. CoRR abs/2404.18322 (2024) - [i28]ChonLam Lao, Jiaqi Gao, Ganesh Ananthanarayanan, Aditya Akella, Minlan Yu:
HawkVision: Low-Latency Modeless Edge AI Serving. CoRR abs/2405.19213 (2024) - [i27]Jeremy Carleton, Prathik Vijaykumar, Divyanshu Saxena, Dheeraj Narasimha, Srinivas Shakkottai, Aditya Akella:
CONGO: Compressive Online Gradient Optimization with Application to Microservices Management. CoRR abs/2407.06325 (2024) - 2023
- [j27]Haoyu Li, Liuhui Wang, Qizhi Chen, Jianan Ji, Yuhan Wu, Yikai Zhao, Tong Yang, Aditya Akella:
ChainedFilter: Combining Membership Filters by Chain Rule. Proc. ACM Manag. Data 1(4): 234:1-234:27 (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) - [c153]Divyanshu Saxena, William Zhang, Madhav Tummala, Saksham Goel, Aditya Akella:
Invited Paper: Towards Efficient Microservice Communication. ApPLIED@PODC 2023: 8:1-8:5 - [c152]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 - [c151]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 - [c150]Tao Ji, Divyanshu Saxena, Brent E. Stephens, Aditya Akella:
Yama: Providing Performance Isolation for Black-Box Offloads. SoCC 2023: 572-587 - [c149]Brian Chang, Aditya Akella, Loris D'Antoni, Kausik Subramanian:
Learned Load Balancing. ICDCN 2023: 177-187 - [c148]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 - [c147]Zerui Guo, Jiaxin Lin, Yuebin Bai, Daehyeok Kim, Michael M. Swift, Aditya Akella, Ming Liu:
LogNIC: A High-Level Performance Model for SmartNICs. MICRO 2023: 916-929 - [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 - [i26]Saksham Goel, Benjamin Mikek, Jehad Aly, Venkat Arun, Ahmed Saeed, Aditya Akella:
Quantitative Verification of Scheduling Heuristics. CoRR abs/2301.04205 (2023) - [i25]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) - [i24]Sudarsanan Rajasekaran, Manya Ghobadi, Aditya Akella:
CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters. CoRR abs/2308.00852 (2023) - [i23]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) - [i22]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) - [i21]Bodun Hu, Le Xu, Jeongyoon Moon, Neeraja J. Yadwadkar, Aditya Akella:
MOSEL: Inference Serving Using Dynamic Modality Selection. CoRR abs/2310.18481 (2023) - [i20]Divyanshu Saxena, Nihal Sharma, Donghyun Kim, Rohit Dwivedula, Jiayi Chen, Chenxi Yang, Sriram Ravula, Zichao Hu, Aditya Akella, Sebastian Angel, Joydeep Biswas, Swarat Chaudhuri, Isil Dillig, Alex Dimakis, Philip Brighten Godfrey, Daehyeok Kim, Christopher J. Rossbach, Gang Wang:
On a Foundation Model for Operating Systems. CoRR abs/2312.07813 (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 ATC 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 ATC 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]