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检索条件"任意字段=Proceedings of the ACM Symposium on Principles of Distributed Computing"

共 4473 条记录，以下是681-690 订阅

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XIndex: A Scalable Learned Index for Multicore Data Storage 20

XIndex: A Scalable Learned Index for Multicore Data Storage

引用

25th acm SIGPLAN symposium on principles and Practice of Parallel Programming (PPoPP)

作者： Tang, Chuzhe Wang, Youyun Dong, Zhiyuan Hu, Gansen Wang, Zhaoguo Wang, Minjie Chen, Haibo Shanghai Jiao Tong Univ Inst Parallel & Distributed Syst Shanghai Peoples R China Shanghai Jiao Tong Univ Shanghai Key Lab Scalable Comp & Syst Shanghai Peoples R China NYU Dept Comp Sci New York NY 10003 USA

ISBN: (纸本)9781450368186

We present XIndex, a concurrent ordered index designed for fast queries. Similar to a recent proposal of the learned index, XIndex uses learned models to optimize index efficiency. Comparing with the learned index, XIndex is able to effectively handle concurrent writes without affecting the query performance by leveraging fine-grained synchronization and a new compaction scheme, Two-Phase Compaction. Furthermore, XIndex adapts its structure according to runtime workload characteristics to support dynamic workload. We demonstrate the advantages of XIndex with both YCSB and TPC-C (KV), a TPC-C variant for key-value stores. XIndex achieves up to 3.2x and 4.4x performance improvement comparing with Masstree and Wormhole, respectively, on a 24-core machine, and it is open-sourced(1).

关键词： Compaction

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proceedings of the 2020 IEEE/acm 24th International symposium on distributed Simulation and Real Time Applications, DS-RT 2020

Proceedings of the 2020 IEEE/ACM 24th International Symposiu...

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24th IEEE/acm International symposium on distributed Simulation and Real Time Applications, DS-RT 2020

ISBN: (纸本)9781728173436

The proceedings contain 32 papers. The topics discussed include: model checking actor-based cyber-physical systems;e-scooter sharing: leveraging open data for system design;bio-inspired drones recruiting strategy for precision agriculture domain;collision avoidance proposal in a MEC based VANET environment;a novel deep reinforcement learning based service migration model for mobile edge computing;a cost-effective scheduling control for a safety critical hybrid power system;real-time feedback in node-RED for IoT development: an empirical study;agent-based modeling and simulation for emergency scenarios: a holistic approach;CoSim: a simulator for co-scheduling of batch and on-demand jobs in HPC datacenters;and heuristic contention-free scheduling algorithm for multi-core processor using LET model.

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Teaching distributed computing Fundamentals using Raspberry Pi Clusters 2022

Teaching Distributed Computing Fundamentals using Raspberry ...

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proceedings of the 53rd acm Technical symposium on Computer Science Education V. 2

作者： Elizabeth Shoop Richard Brown Joel Adams Suzanne Matthews Macalester College Saint Paul MN USA St. Olaf College Northfield MN USA Calvin University Grand Rapids MI USA United States Military Academy West Point NY USA

ISBN: (纸本)9781450390712

The 2019 ABET computer science criteria requires that all computing students learn parallel and distributed computing (PDC) as undergraduates, and CS2013 recommends at least fifteen hours of PDC in the undergraduate curriculum. Consequently, many educators are looking for easy ways to integrate PDC into courses at their institutions. This hands-on workshop introduces Message Passing Interface (MPI) basics in Python or C/C++ using clusters of Raspberry Pi single-board computers. MPI is a multi-language, platform independent, industry-standard library for PDC. Raspberry Pis are an inexpensive and engaging hardware platform for studying PDC as early as CS1. Participants will experience how to teach distributed computing essentials with MPI by means of reusable, effective "parallel patterns," including single program multiple data (SPMD) execution, send-receive message passing, and parallel loop patterns. No prior experience with MPI, PDC, or the Raspberry Pi is expected; participants will explore short programs designed to help students understand MPI basics, plus longer "exemplar" programs that use MPI to solve significant applied problems. The workshop includes: (i) personal experience with the Raspberry Pi (clusters provided); (ii) instructions on how to deploy Raspberry Pi clusters quickly in the classroom; (iii) self-paced hands-on experimentation with MPI programs; and (iv) a discussion of how to use Raspberry Pi clusters to align courses with CS2013 and ABET. All materials from this workshop are available from ***; participants should bring a laptop to access materials and connect to the Raspberry Pi clusters.

关键词： message passing parallel and distributed computing cluster computing undergraduate parallel computing pdc & education raspberry pi cluster

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High availability in cheap distributed key value storage 11

High availability in cheap distributed key value storage

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11th acm symposium on Cloud computing, SoCC 2020

作者： Kim, Thomas Wong, Daniel Lin-Kit Ganger, Gregory R. Kaminsky, Michael Andersen, David G. Carnegie Mellon Univ United States

ISBN: (纸本)9781450381376

Memory-based storage currently offers the highest-performance distributed storage, keeping the primary copy of all data in DRAM. Recent advances in non-volatile main memory (NVMM) technologies promise latency similar to DRAM at reduced cost and energy, but will make providing high availability more challenging. Previous approaches to failure recovery involve maintaining multiple identical replicas or relying on fast offline restoration of data from backup replicas stored on SSD. Unfortunately, NVMM's combination of lower write throughput and increased storage density means that offline restoration can no longer provide sufficiently fast recovery, and maintaining multiple identical replicas is generally cost prohibitive. CANDStore is a strongly consistent, distributed, replicated key-value store that uses a new fast crash recovery protocol. As a result, CANDStore can use NVMM and NVMe SSD technology to provide low-latency distributed storage that is cheaper and higher-availability than existing main memory-based distributed storage. Our evaluation shows that CANDStore's recovery protocol enables the system to restore performance and meet SLOs after the failure of a primary node 4.5 - 10.5x faster than offline recovery. © 2020 Owner/Author.

关键词： Dynamic random access storage

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proceedings of the International symposium on Mobile Ad Hoc Networking and computing (MobiHoc)

Proceedings of the International Symposium on Mobile Ad Hoc ...

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21st acm International symposium on Mobile Ad Hoc Networking and computing, MobiHoc 2020

ISBN: (纸本)9781450380157

The proceedings contain 45 papers. The topics discussed include: fair multi-resource allocation in mobile edge computing with multiple access points;robust resource provisioning in time-varying edge networks;fresher content or smoother playback? a Brownian-approximation framework for scheduling real-time wireless video streams;optimizing information freshness using low-power status updates via sleep-wake scheduling;online control of random access with splitting;de-anonymizability of social network: through the lens of symmetry;towards compression-resistant privacy-preserving photo sharing on social networks;truthful mobile crowd sensing with interdependent valuations;online dispatching and scheduling of jobs with heterogeneous utilities in edge computing;online scheduling of heterogeneous distributed machine learning jobs;and approximation algorithms for data-intensive service chain embedding.

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Network-accelerated distributed machine learning for multi-tenant settings 11

Network-accelerated distributed machine learning for multi-t...

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11th acm symposium on Cloud computing, SoCC 2020

作者： Viswanathan, Raajay Balasubramanian, Arjun Akella, Aditya Uber Technologies Inc Amazon Web Services University of Wisconsin-Madison United States

ISBN: (纸本)9781450381376

Many distributed machine learning (DML) workloads are increasingly being run in shared clusters. Training in such clusters can be impeded by unexpected compute and network contention, resulting in stragglers. We present MLfabric, a contention-aware DML system that manages the performance of a DML job running in a shared cluster. The DML application hands all network communication (gradient and model transfers) to the MLfabric communication library. MLfabric then carefully orders transfers to improve convergence, opportunistically aggregates them at idle DML workers to improve resource efficiency, and replicates them to support new notions of fault tolerance, while systematically accounting for compute stragglers and network contention. We find that MLfabric achieves up to 3x speed-up in training large deep learning models in realistic dynamic cluster settings. © 2020 acm.

关键词： Fault tolerance

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Enhanced Clustering Approach for Traffic Regulation in Directional Antennas based Nanonetworks 20

Enhanced Clustering Approach for Traffic Regulation in Direc...

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35th Annual acm symposium on Applied computing (SAC)

作者： Aliouat, Lina Mabed, Hakim Bourgeois, Julien Univ Bourgogne Franche Comte Montbeliard France

ISBN: (纸本)9781450368667

Wireless NanoNetworks (WNN) are gaining an increasing interest and attracting many researchers from the networking community. This is due to the huge potential offered by nanodevices development. A WNN is formed by a high number of nanonodes utilizing specific properties of nanomaterials and nanoparticles to act at nanometer scale. However, the intrinsic limitations of nanonodes (energy, memory, communication range, and computation capacity), impose WNN protocols to be adapted to these stringent requirements. Furthermore, the extremely high density of nanonodes leads to congestion phenomena, requiring thorough traffic regulation mechanisms in order to reduce hindering radio signal collisions. Traffic regulation aims also to reduce valuable energy consumption. In this paper, we operate with Terahertz directional antennas in order to efficiently direct the radio signals towards the targeted area which significantly reduces interference. For regulating the exchanged messages, we propose a synchronous communication protocol based on a clustering approach where intra and inter cluster communications will be achieved respectively by a Time Division Multiple Access (TDMA) protocol, and a new distributed TDMA combined with Forwarding Dominate Nodes (FDN) protocol. Several scenarios have been carried out and the obtained simulation results show that our proposition significantly reduces both the number of collisions and the number of exchanged messages required to broadcast data from the nanonodes.

关键词： Nanonetworks Directional Antennas Clustering distributed TDMA Traffic Regulation.

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Cloudlet dwell time model and resource availability for vehicular fog computing 21

Cloudlet dwell time model and resource availability for vehi...

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proceedings of the 2021 IEEE/acm 25th International symposium on distributed Simulation and Real Time Applications

作者： Md Tahmid Hossain Robson E. De Grande Brock University Canada

ISBN: (纸本)9781665433266

Urban computing has become a significant driver in supporting the delivery and sharing of services, being a strong ally to intelligent transportation. In an intelligent transportation scenario, smart vehicles present computing and communication capabilities that enable many autonomous vehicular safety and infotainment applications. Vehicular Fog computing appears as a new paradigm in enabling and facilitating efficient service and resource sharing in urban environments. Several vehicular resource management works have attempted to deal with the highly dynamic vehicular environment following diverse approaches, such as MDP, SMDP and policy-based greedy techniques. However, the high vehicular mobility causes several challenges compromising consistency and efficiency. RL-enabled adaptive vehicular Fogs can deal with the mobility for properly distributing load and resources over Fogs. Thus, we propose a mobility-based dwell time estimation method for accurately estimating vehicular resources in a Fog, leveraging the design of an adaptive and highly dynamic resource allocation model.

关键词： vehicular fog resource allocation dwell time mobility cloudlet

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Session details: Theme: distributed systems: CC - Cloud computing track 21

Session details: Theme: Distributed systems: CC - Cloud comp...

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proceedings of the 36th Annual acm symposium on Applied computing

作者： Priya Chandran S. D Madhu Kumar National Institute of Technology Calicut India

No abstract available.

ISBN: (纸本)9781450381048

No abstract available.

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Computer Science Frontiers: New Curricula to Advance Female Interest in computing 2022

Computer Science Frontiers: New Curricula to Advance Female ...

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proceedings of the 53rd acm Technical symposium on Computer Science Education V. 2

作者： Veronica Cateté Lauren Alvarez Shuchi Grover Isabella Gransbury Brian Broll Madeline Drayton Audrey Coats April Collins Ákos Lédeczi Tiffany Barnes North Carolina State University Raleigh NC USA Looking Glass Ventures & Stanford University Palo Alto CA USA Vanderbilt University Nashville TN USA Providence High School Charlotte NC USA Lynnfield High School Lynnfield MA USA MLK Jr. High School Nashville TN USA

ISBN: (纸本)9781450390712

The Computer Science Frontiers (CSF) project introduces teachers to the topics of artificial intelligence and distributed computing to engage their female students in computing by connecting lessons to relevant cutting edge technologies. Application topics include social media and news articles, as well as climate change, the arts (movies, music, and museum collections), and public health/medicine. CSF educators are prepared in a pedagogy and peer-teaching centered professional development program where they simultaneously learn and teach distributed computing, artificial intelligence, and internet of things lessons to each other. These professional developments allow educators to hone in on their teaching skills of these new topics and gain confidence in their ability to teach new computer science materials before running several activities with their students in the academic year classroom. In this workshop, teachers participating in the CS Frontiers professional development will give testimonials discussing their experiences teaching these topics in a two week summer camp. Attendees will then try out three computing activities, one from each Computer Science Frontiers module. Finally, there will be a question and answer session.

关键词： internet of things computer science education artificial intelligence visual-programming

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