S-6: Smart Transportation, Advertising, and Blockchain, Session Prior works focus on single group searching, which refers to determining which ones in a given set of tags exist in the system. We analyze the impact of this joint multicasting and caching on the delay performance. Student Travel Grant to attend IEEE ISIT, 2016. Furthermore, we showcase a quantitative and qualitative analysis of the OP_RETURN along with a number of interesting findings. Through comprehensive experiments in different indoor scenarios, localization errors by different ranging models are compared to the CRLB, meanwhile our proposed ranging model is demonstrated to have better ranging and localization accuracy than the original ranging model. Yet, recent works showed the possibility of inferring plaintext data from OPE-encrypted databases, merely using the order-preserving constraints, or combined with an auxiliary plaintext dataset with similar frequency distribution. MIMO) transceiver architectures enable multiple simultaneous TX/RX beams, standing in stark contrast with phased arrays featuring analog beamformers that are capable of transmitting/receiving only one beam at a time. Congrats to Xiaolan! Extensive evaluations using real-world data demonstrate that it outperforms state-of-the-art schedulers in today's AI cloud systems. 3:45 PM EDT, Oct 13 Tue, 8:15 PM The 21st International Symposium on Mobile Ad Hoc Networking and Computing (ACM MobiHoc 2020) — — NSF Travel Grant to attend ACM MobiHoc, 2019. Evaluation results show that the proposed algorithm achieves near-optimal resource costs with up to 27.8% of the cost savings owed to the sharing of the data. ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) 2020 IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt) 2019 Submission and Publication Chair ACM SIGMETRICS 2021 We are searching for a new location and details regarding both the timing and location will soon follow. As Internet advertisements (also called ``ads'') revenue growth is being driven further than ever before, one challenge facing publishers, such as Google and Amazon, is to quickly select and place a group of ads in an ad space for each online user with the objective of maximizing the expected revenue. Our online algorithm consists of (i) an online scheduling framework that groups unprocessed ML training jobs into a batch iteratively, and (ii) a batch scheduling algorithm that configures each ML job to maximize the total weight of scheduled jobs in the current iteration. — It will bring together researchers and practitioners from a broad spectrum of networking research to present the most up-to-date results and achievements in the field. August 19, 2020; A paper accepted by IEEE TVLSI August 12, 2020; Invited to serve as PC at IEEE ICBC 2021 July 23, 2020; Welcome to the The Twenty-First International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2020) submissions site. Welcome to the ACM MobiHoc Workshop on “Cooperative data dissemination in future vehicular networks” (D2VNet 2020) submissions site. Our analysis uses a novel application of Heavy-Traffic theory under the assumption of vanishing caches to show that predictive caching fundamentally alters the asymptotic throughput-delay scaling. We present LLOCUS, a novel learning-based system that uses mobile crowdsourced RF sensing to estimate the location and power of unknown mobile transmitters in real time, while allowing unrestricted mobility of the crowdsourcing participants. Submission Deadline Friday 06 Dec 2019 Proceedings indexed by : Conference Dates Jan 11, 2020 - Jan 14, 2020 … 2020] Paper on multi-dimensional order-preserving matching is accepted by ACM Mobihoc 2020. S-5: Networks and Algorithms, Session 2020] Paper on vehicle motion verfication with a single receiver is accepted by ACM WiSec 2020. The goal is to maximize the total utility over all jobs in an edge system. Accepted papers are listed in the program. MobiHoc is a premier international symposium dedicated … — The mentioned capabilities are required not only at instantiation time but also during operation time to maintain the corresponding service level agreements in the presence of changing network conditions. Conference Information. We analyze the existence and uniqueness of equilibrium and propose a distributed algorithm to achieve the equilibrium in a uniform-delay setting. We formulate it as a 2-D order-preserving matching problem and explore both unweighted and weighted cases, where the former maximizes the number of points matched using only order information and the latter further considers points with similar frequencies. IEEE/ACM Transactions on Networking, vol. To fill this gap, in this paper, we formulate the data-intensive SCE problem with the goal of minimizing storage, computation, and communication resource costs subject to resource capacity, service chaining, and data sharing constraints. Ranked 1st over Electrical Engineering Class of 2011, Alexandria University. Compared with the state-of-the-art solutions, PTS significantly improves time efficiency in multiple group searching scenarios (by a factor of up to 7.54X when $k=10$) and achieves the same time efficiency in single group searching scenarios. — To address it, we propose an online scheduling algorithm to decide the execution time window, the number and the type of concurrent workers and parameter servers for each job upon its arrival, with a goal of minimizing the weighted average completion time. [October 2020]: Dr. Bin Li was elevated to a senior member of the IEEE. Runner-up of Best Paper Award, ACM MobiHoc Conference, 2020. We develop a predictive multicasting and caching scheme, where the Base Station (BS) in a wireless cell proactively multicasts popular content for end-users to cache, and access locally if requested. So far, the effectiveness of such attacks is limited to single-dimensional dense data (most values from the domain are encrypted), but it remains challenging to achieve it on high-dimensional datasets (e.g., spatial data) which are often sparse in nature. — We prove that after running our policy for $D$ days, the loss in the expected time-average payoff can be at most ${\mathcal O}\left({\left(\ln D\right)}^{\frac{1}{2}} D^{-\frac{1}{4}}\right)$, which decays to zero as $D$ approaches infinity. blockchain-based botnets). The acceptance rate is 15%. ML training jobs are typically resource elastic, completed using various time lengths with different resource configurations. To tackle this problem we present DANGER, a framework able to create a mesh networks of drones, which can be reached by any smartphone with WiFi. Differently from computation and communication resources, which are allocated in a dedicated per request manner, storage resources can be shared to satisfy multiple requests for the same data. In this demo, the team will: (1) prove the correct formation of different TX/RX beams by applying geometrically determined beamforming weights, and (2) prove the benefits of fully-digital beamforming by transmitting four independent streams of data with an OFDM-based physical layer. Has now become more important than ever to guarantee an always present connectivity to users, especially in emergency scenarios. Student Travel Grant to attend IEEE ISIT, 2017. Due to increasing concerns of data privacy, databases are being encrypted before they are stored on an untrusted server. A paper accepted by IACR SAC 2020 September 18, 2020; Received a grant from IARPA! ACM 2019 , ISBN 978-1-4503-6806-3 [contents] Proof of Capacity (PoC) is an eco-friendly alternative to Proof of Work for consensus in blockchains since it determines mining rights based on miners' storage rather than computation. We prove that the problem is NP-hard, and then propose a greedy algorithm, along with a polynomial-time algorithm with approximation guarantees. Registration is free! 2020 (Expected) University of Southern California, Los Angeles, California, USA ... ACM MobiHoc, Paderborn, Germany Jul 2016. The Fifth ACM/IEEE Symposium on Edge Computing. Considering that the provider needs to ensure the vehicle flow balance at each location, its pricing and supply decisions for different origin-destination pairs are tightly coupled. PoC has yet to be applied to mobile applications, due to the storage limitation of mobile devices. PTS achieves high parallelism due to some novel designs. A typical model of distributed ML is to partition training datasets over multiple worker nodes to update model parameters in parallel, adopting a parameter server architecture. In this paper we first analyze the estimation bias of the original CSI ranging model according to indoor wireless channel model. © Copyright 2019-2020 Jinbei Zhang, Creative Commons License. After filling out the Google form, you will receive links to Zoom live opening session, YouTube talk videos, and Slack discussion channels. We model interactions among miners as a non-cooperative game and formulate a Nash equilibrium problem to investigate the effects of offloading on miners' utilities. Different from prior works that have to execute $k$ times to search $k$ groups separately, PTS obtains searching results for all the $k$ groups with only \emph{one-shot} execution.
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