IEEE INFOCOM 2023
Cloud/Edge Computing 1
Balancing Repair Bandwidth and Sub-packetization in Erasure-Coded Storage via Elastic Transformation
Kaicheng Tang, Keyun Cheng and Helen H. W. Chan (The Chinese University of Hong Kong, Hong Kong); Xiaolu Li (Huazhong University of Science and Technology, China); Patrick Pak-Ching Lee (The Chinese University of Hong Kong, Hong Kong); Yuchong Hu (Huazhong University of Science and Technology, China); Jie Li and Ting-Yi Wu (Huawei Technologies Co., Ltd., Hong Kong)
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On Efficient Zygote Container Planning toward Fast Function Startup in Serverless Edge Cloud
Yuepeng Li and Deze Zeng (China University of Geosciences, China); Lin Gu (Huazhong University of Science and Technology, China); Mingwei Ou (China University of Geosciences(wuhan) & China University of Geosciences, China); Quan Chen (Shanghai Jiao Tong University, China)
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Layered Structure Aware Dependent Microservice Placement Toward Cost Efficient Edge Clouds
Deze Zeng (China University of Geosciences, China); Hongmin Geng (China University of Geosciences, Wuhan, China); Lin Gu (Huazhong University of Science and Technology, China); Zhexiong Li (University of Geosciences, China)
cloud. Fortunately, Docker, as the most widely used container, provides a unique layered architecture that allows the same layer to be shared between microservices so as to lower the deployment cost. Meanwhile, it is highly desirable to deploy dependent microservices of an application together to lower the operation cost. Therefore, the balancing of microservice deployment cost and the operation cost should be considered comprehensively to achieve minimal overall cost of an on-demand application. In this paper, we first formulate this problem into a Quadratic Integer Programming form (QIP) and prove it as a NP-hard problem. We further propose a Randomized Rounding-based Microservice Deployment and Layer Pulling (RR-MDLP) algorithm with low computation complexity and guaranteed approximation ratio. Through extensive experiments, we verify the high efficiency of our algorithm by the fact that it significantly outperforms existing state-of-the-art microservice deployment strategies.
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How to Attack and Congest Delay-Sensitive Applications on the Cloud
Jhonatan Tavori (Tel-Aviv University, Israel); Hanoch Levy (Tel Aviv University, Israel)
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Session Chair
Bo Ji
Wireless/Mobile Learning
Opportunistic Collaborative Estimation for Vehicular Systems
Saadallah Kassir and Gustavo de Veciana (The University of Texas at Austin, USA)
As vehicles might have different sensing capabilities, combining and sharing information from a judiciously selected subset is often sufficient to considerably improve all the vehicles' estimation errors.
We develop an opportunistic framework for vehicular collaborative sensing determining (1) which nodes require assistance, (2) which ones are best suited to provide it, and (3) the corresponding information-sharing rates, so as to minimize the communication overheads while meeting the vehicles' target estimation error. We leverage the supermodularity of the problem to devise an efficient vehicle information sharing algorithm with suboptimality guarantees to solve this problem and make it suitable to deploy in dynamic environments where network conditions might fluctuate rapidly. We support our analysis with simulations showing evidence that vehicles can considerably benefit from the proposed opportunistic collaborative sensing framework compared to operating autonomously. Finally, we explore the value of information-sharing in vehicular collaborative sensing networks by evaluating the associated safe driving velocity gains.
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Online Learning for Adaptive Probing and Scheduling in Dense WLANs
Tianyi Xu (Tulane University, USA); Ding Zhang (George Mason University, USA); Zizhan Zheng (Tulane University, USA)
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HTNet: Dynamic WLAN Performance Prediction using Heterogenous Temporal GNN
Hongkuan Zhou (University of Southern California, USA); Rajgopal Kannan (US Army Research Lab, USA); Ananthram Swami (DEVCOM Army Research Laboratory, USA); Viktor K. Prasanna (University of Southern California, USA)
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FEAT: Towards Fast Environment-Adaptive Task Offloading and Power Allocation in MEC
Tao Ren (Institute of Software Chinese Academy of Sciences, China); Zheyuan Hu, Hang He, Jianwei Niu and Xuefeng Liu (Beihang University, China)
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Session Chair
Bin Li
Security and Privacy
Communication Efficient Secret Sharing with Dynamic Communication-Computation Conversion
Zhenghang Ren (Hong Kong University of Science and Technology, China); Xiaodian Cheng and Mingxuan Fan (Hong Kong University of Science and Technology, Hong Kong); Junxue Zhang (Hong Kong University of Science and Technology, China); Cheng Hong (Alibaba Group, China)
To reduce the communication overhead of SS, prior works statically convert interactive operations to equivalent non-interactive operations with extra computation cost. However, we show that such static conversion misses chances for optimization, and further present SOLAR, a SS-based MPC framework that aims to reduce the communication overhead through dynamic communication-computation conversion. At its heart, SOLAR converts interactive operations that involve communication among parties to equivalent non-interactive operations within each party with extra computations and introduces a speculative strategy to perform opportunistic conversion when CPU is idle for network transmission. We have implemented and evaluated SOLAR on several popular MPC applications, and achieved 1.6-8.1x speedup in multi-thread setting compared to the basic SS and 1.2-8.6x speedup over static conversion.
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Stateful Switch: Optimized Time Series Release with Local Differential Privacy
Qingqing Ye and Haibo Hu (Hong Kong Polytechnic University, Hong Kong); Kai Huang (The Hong Kong University of Science and Technology, Hong Kong); Man Ho Au (The University of Hong Kong & The Hong Kong Polytechnic University, Hong Kong); Qiao Xue (Hong Kong Polytechnic University, Hong Kong)
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Privacy-preserving Stable Crowdsensing Data Trading for Unknown Market
He Sun, Mingjun Xiao and Yin Xu (University of Science and Technology of China, China); Guoju Gao (Soochow University, China); Shu Zhang (University of Science and Technology of China, China)
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Privacy as a Resource in Differentially Private Federated Learning
Jinliang Yuan, Shangguang Wang and Shihe Wang (Beijing University of Posts and Telecommunications, China); Yuanchun Li (Tsinghua University, China); Xiao Ma (Beijing University of Posts and Telecommunications, China); Ao Zhou (Beijing University of Posts & Telecommunications, China); Mengwei Xu (Beijing University of Posts and Telecommunications, China)
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Session Chair
Wenhai Sun
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