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Approximate Deep network Embedding for Mining Large-Scale Graphs

Approximate Deep Network Embedding for Mining Large-Scale Gr...

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ieee International conference on Cognitive Machine Intelligence (CogMI)

作者： Yang Zhou Ling Liu Auburn University Georgia Institute of Technology

ISBN: (纸本)9781728167381

In the Big Data era, we are witnessing the flood of big graph data in terms of volume, variety, and velocity. The use of online social media and online shopping sites has provided access to a huge volume of interactions among information entities and objects. Scaling compute-intensive graph analysis applications on huge graphs with millions or billions of vertices and edges is widely recognized as a challenging big data research problem. A lot of research efforts in network embedding aim to learn low-dimensional representation of big graphs, enable easy integration with existing graph mining algorithms, and thus allow to achieve acceptable quality of big graph analysis on network embedding results with superior efficiency and scalability. However, how to enhance network embedding itself in terms of both efficiency and scalability is still an open problem. We are still short of efficient and scalable network embedding techniques to scale themselves on big graphs with millions or billions of vertices and edges, with the awareness of the intrinsic global and local characteristics of graph data. Most network embedding techniques exploit shallow-structured architectures, and thus lead to sub-optimal network representations. We also see lots of potential to utilize approximation theories and deep learning techniques to elevate both efficiency and scalability. In order to promote big network embedding from theoretical points of view, by representing graph data in deep learning architectures, we develop a suite of competitive learning-based approximate deep network embedding techniques that are able to leverage both efficiency and scalability of network embedding while preserving the computational utility with three major components. First, we propose a dynamic competitive learning-based algorithm to combine global network embedding and local network embedding into a unified model to utilize the advantages of both techniques. Second, we develop a network embedding-based alg

关键词： Neurons Scalability Machine learning Heuristic algorithms Computational modeling Clustering algorithms Big Data

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Cloud-based Convergence of Heterogeneous RANs in 5G Disaggregated architectures

Cloud-based Convergence of Heterogeneous RANs in 5G Disaggre...

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ieee International conference on Communications (ICC) / Workshop on Integrating UAVs into 5G

作者： Makris, Nikos Zarafetas, Christos Basaras, Pavlos Korakis, Thanasis Nikaein, Navid Tassiulas, Leandros Univ Thessaly Dept Elect & Comp Engn Volos Greece CERTH Ctr Res & Technol Hellas Thessaloniki Greece Eurecom Sophia Antipolis France Yale Univ Dept Elect Engn New Haven CT USA

ISBN: (纸本)9781538631805

Cloud-RAN based architectures are widely considered a fundamental part of 5G networks. As a consequence, in the upcoming standards for 5G RAN, disaggregating the RAN functionality between a Central Unit (CU) and multiple Distributed Units (DUs) is considered, addressing the splitting of the 5G protocol stack at the PDCP/RLC point. This split is expected to bring numerous advantages to mobile network operators, as through the isolation of the stack from the PDCP layer and upwards, the CU will be able to act as the Cloud-based convergence point among multiple heterogeneous technologies in the provisioned networks and hence able to serve multiple heterogeneous DUs. Moreover, data rate requirements for this type of split are not very demanding, thus allowing the IP-based transferring of data from the DU to CU and vice-versa. In this work, we propose, implement and evaluate a protocol for a Cloud-RAN based architecture allowing the selection and dynamic switching of different heterogeneous networks in the RAN. We rely on the open source openAirInterface platform and extend it to support data plane splitting of the LTE functionality, and the subsequent data injection to WiFi networks. We evaluate the platform using a real network setup, under several scenarios of network selection and different delay settings.

关键词： CU/DU split Midhaul HetNets RAN disaggregation openAirInterface

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Evaluating Performance Tradeoffs on the Radeon open Compute Platform

Evaluating Performance Tradeoffs on the Radeon Open Compute ...

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ieee International Symposium on Performance Analysis of Systems and Software (ISPASS)

作者： Sun, Yifan Mukherjee, Saoni Baruah, Trinayan Dong, Shi Gutierrez, Julian Mohan, Prannoy Kaeli, David Northeastern Univ Boston MA 02115 USA

ISBN: (纸本)9781538650103

GPUs have been shown to deliver impressive computing performance, while also providing high energy efficiency, across a wide range of high-performance and embedded system workloads. However, limited support for efficient communication and synchronization between the CPU and the GPU impacts our ability to fully exploit the benefits of heterogeneous systems. Recently, the Heterogeneous System Architecture (HSA) was introduced to address these issues with synchronization and communication, but given the low-level nature of HSA, it was not easily adopted by the broader programming community. In 2016, AMD described the Radeon open Compute (ROC) platform that brings high-level programming frameworks such as openCL, HC++, and HIP to end users. These high-level programming frameworks offer a simpler programming experience by wrapping complex HSA APIs, while still delivering the power of HSA. To date, there has been little evaluation of the potential performance benefits and trade-offs of leveraging the ROC platform. In this work, we evaluate the performance of the ROC platform using the Hetero-Mark and DNNMark benchmark suites. Equipped with Hetero-Mark, we compare the performance of different programming frameworks, including openCL, HC++, and HIP on both integrated APUs and discrete GPUs. We also present three new CPU-GPU collaborative patterns and employ three new benchmarks to evaluate system-level atomics. With DNNMark and a new DNN Face Detection benchmark, we evaluate the performance of ROC libraries including rocBLAS and MIopen. We also provide guidance on best practices to programmers when developing applications leveraging the ROC platform.

关键词： Graphics processing units programming Hip Runtime Benchmark testing Performance evaluation Kernel

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Efficient NAS Benchmark Kernels with C++ Parallel programming 26

Efficient NAS Benchmark Kernels with C++ Parallel Programmin...

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26th Euromicro International conference on Parallel, Distributed, and network-Based Processing, PDP 2018

作者： Griebler, Dalvan Loff, Junior Mencagli, Gabriele Danelutto, Marco Fernandes, Luiz Gustavo Pontifical Catholic University of Rio Grande Do sul Parallel Application Modeling Group Porto Alegre Brazil University of Pisa Computer Science Department Pisa Italy

ISBN: (纸本)9781538649756

Benchmarking is a way to study the performance of new architectures and parallel programming frameworks. Well-established benchmark suites such as the NAS Parallel Benchmarks (NPB) comprise legacy codes that still lack portability to C++ language. As a consequence, a set of high-level and easy-to-use C++ parallel programming frameworks cannot be tested in NPB. Our goal is to describe a C++ porting of the NPB kernels and to analyze the performance achieved by different parallel implementations written using the Intel TBB, openMP and FastFlow frameworks for Multi-Cores. The experiments show an efficient code porting from Fortran to C++ and an efficient parallelization on average. © 2018 ieee.

关键词： Parallel programming

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A Low-Cost Software-Defined UHF RFID Reader with Active Transmit Leakage Cancellation 12

A Low-Cost Software-Defined UHF RFID Reader with Active Tran...

引用

ieee International conference on RFID (RFID)

作者： Keehr, Edward A. Superlat Semicond LLC Carlsbad CA 92009 USA

ISBN: (纸本)9781538614563

A monostatic UHF RFID reader targeting personal applications based on recently introduced commercial-off-the-shelf (COTS) software-defined radio (SDR) application-specific integrated circuits (ASICs) and field-programmable gate arrays (FPGAs) is proposed. The result is an RFID reader architecture whose principal components cost less than half of those of existing readers, but is flexible as a result of the programmable nature of the FPGA. The reader implements all mandatory EPC Gen 2 commands (except kill) and can perform inventory, targeted programming, blank tag programming, and single-tag analysis via a smartphone interface. The proposed RFID reader architecture adaptively cancels the large CW transmit signal using a reflected power canceller (RPC). The RPC is terminated by a novel subranging tunable microwave network comprising digitally tunable capacitors capable of attenuating transmit leakage at the receiver by over 50dB. The reader achieves -73dBm of sensitivity at the antenna port when attached to a channel model and connectorized tag and achieves an open area tag read range of 2.6m with a 1.2dBi dipole antenna and 15.2m with a 12.5dBi patch antenna.

关键词： Radiofrequency identification Field programmable gate arrays Dipole antennas Protocols Transmitting antennas programming Receivers

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Eavesdropping Prevention for Heterogeneous Internet of Things Systems 15

Eavesdropping Prevention for Heterogeneous Internet of Thing...

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15th ieee Annual Consumer Communications and networking conference (CCNC)

作者： Liao, Chen-Hung Shuai, Hong-Han Wang, Li-Chun Natl Chiao Tung Univ Hsinchu Taiwan

ISBN: (纸本)9781538647905

With the rapid growth of Internet of Things (IoT), the idea of integrating a variety of IoTs has been proposed to support a variety of novel applications. However, IoT devices are often deployed in an open environment in which IoTs are inclined to be malfunctioned. Although data reliability can be achieved by data recovery with conventional replication, the communication between IoTs is susceptible to eavesdropping. Since most of the current work focuses on designing the architectures for IoTs under the specific scenarios, the eavesdropping prevention for heterogeneous IoT systems remains unexplored. Therefore, in this paper, we consider using the network-coding-based distributed storage systems for security and show that repair bandwidth can be reduced by increasing storage per node. Moreover, we theoretically derive the relation between repair bandwidth and storage in heterogeneous IoT systems. Finally, we show the relation between storage cost and reliability with regard to different amounts of IoT devices.

关键词： Security Maintenance engineering Bandwidth Eavesdropping Internet of Things Reliability network coding

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Multi-objective Supply Restoration in Active Distribution networks with Soft open Points 2

Multi-objective Supply Restoration in Active Distribution Ne...

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2nd ieee conference on Energy Internet and Energy System Integration (EI2)

作者： Li, Zhicheng Tang, Zhijun Chao, Wujie Zou, Huanxiong Wu, Xiangyu Lin, Chenxiang State Grid Fujian Elect Power Res Inst Grid Technol Ctr Fuzhou Fujian Peoples R China

ISBN: (纸本)9781538685495

The flexible interconnection technology based on soft open points (SOPs) provides opportunities to improve the operating level of active distribution networks (ADNs). The capability to achieve fast supply restoration is one of the important advantages of SOPs. This paper proposes a hybrid bi-level optimization method for multi-objective supply restoration in the ADNs with SOPs. The model of supply restoration for minimizing the out-of-service loads, the number of switch operations, and the network losses, is established. The model is formulated as a typical mixed integer nonlinear programming (MINLP) problem, taking the power outputs of SOPs and switch states as controllable variables. The optimization method based on fast non-dominated sorting genetic algorithm (NSGA-II) and primal-dual interior-point method (PDIPM) is developed to solve it. NSGA-II is employed to reconfigure the switch states. For the network topology reconfigured by NSGA-II, an AC/ DC OPF based on PDIPM is conducted to obtain the minimum power losses and to ensure the system operation constraints satisfied. A modified ieee 33-node test system is carried out to demonstrate the effectiveness of this method. Results show that the application of SOPs effectively reduces the healthy out-of-service loads, and simplifies the switching operations required.

关键词： active distribution network supply restoration soft open point (SOP) multi-objective optimization mixed integer nonlinear programming

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Internet of Vehicles: Proposed Architecture, network Models, open Issues and Challenges

Internet of Vehicles: Proposed Architecture, Network Models,...

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Amity International conference on Artificial Intelligence (AICAI)

作者： Singh, Alankar Gaba, Lakshay Sharma, Atul Kurukshetra Univ UIET Dept Elect & Commun Engn Kurukshetra Haryana India Kurukshetra Univ UIET Dept Comp Sci & Engn Kurukshetra Haryana India

ISBN: (纸本)9781538693469

In recent times, a term is used to connect smart objects with each other defined as Internet of Things (IoT). The foremost idea of the Internet of Things is to train reallife tangible entities with communication and computing power so that they can interrelate with each other. Now the IoT is forcing the development of traditional Vehicle Ad-hoc networks (VANET) into the Internet of Vehicles (IoV). To overcome short comings of VANET and to establish a sustainable service globally IoV is introduced. IoV ensures vast commercial awareness and research value, thus fascinating a huge number of corporations and scholars. This paper recommends a evaluation of lately proposed IoV architectures and deliberate their salient features, an abstract network model of the IoV, displays various services based on convinced presently prevailing technologies, also provides numerous exposed explored challenges and defines important forthcoming study in the area of IoV.

关键词： Internet of Things Internet of Vehicles Vehicle Ad-hoc networks network Model Integrated network System

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Virtual network Embedding in Hybrid Data Center networks with Over-Subscription

Virtual Network Embedding in Hybrid Data Center Networks wit...

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ieee International conference on Communications (ICC) / Workshop on Integrating UAVs into 5G

作者： Li, Zhenhua Yang, Yuanyuan SUNY Stony Brook Dept Elect & Comp Engn Stony Brook NY 11794 USA

ISBN: (纸本)9781538631805

In this paper, we study virtual network embedding problem in hybrid data center networks (HDCN), where each top-on-rack switch is equipped with a directional antenna. Those antennas can dynamically construct a wireless network in the on-demand way, regarding to the current traffic flow. Hence, HDCN has a great potential to alleviate the over-subscription problem suffered by traditional data centers. However, how to embed virtual networks in HDCN while fully utilizing the benefits introduced by the wireless links remains as an open topic. To this end, we jointly consider virtual network embedding and the antenna scheduling. In particular, in our model, to some extend, over-subscription in links is acceptable. We first abstract the studied problem into an integer programming problem. Then we provide a heuristic algorithm to find sub-optimal solutions to the problem. Extensive simulation based evaluation has shown the great efficiency of the proposed algorithm, which makes it a promising solution for VNE in HDCN.

关键词： Virtual network embedding hybrid data center network over-subscription scheduling heuristic algorithm

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Energy-efficient Virtual network Function Placement in Telecom networks

Energy-efficient Virtual Network Function Placement in Telec...

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ieee International conference on Communications (ICC) / Workshop on Integrating UAVs into 5G

作者： Xu, Zhichao Zhang, Xiaoning Yu, Shui Zhang, Ji Univ Elect Sci & Technol China Sch Commun & Informat Engn Chengdu Peoples R China Deakin Univ Sch Informat Technol Geelong Vic Australia

ISBN: (纸本)9781538631805

network Function Virtualization (NFV) is an emerging network architecture, which decouples the software implementation of network functions from the underlying hardware. Telecom operators widely place diverse types of Virtual network Functions (VNFs) on specified software middlebox. Traffic needs to go through a set of ordered VNFs which forms a Service Function Chain (SFC). However, how to efficiently place VNFs at various network locations while minimizing energy consumption is still an open problem. To this end, we study joint optimization of VNF placement and traffic routing for energy efficiency in telecom networks. We first present the energy model in NFV-enabled telecom networks, and then formulate the studied problem as an Integer Linear programming (ILP) model. Since the problem is NP-hard, we design a polynomial algorithm using the Markov approximation technique to find the near-optimal result. Extensive simulation results show that our algorithm saves up to 14.84% energy consumption in telecom networks compared with previous VNF placement algorithms.

关键词： Virtualized network Functions Service Function Chain Energy Efficiency Markov Approximation

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