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23rd IEEE international conference on High Performance computing and Communications, 7th IEEE international conference on Data Science and Systems, 19th IEEE international conference on Smart City and 7th IEEE international conference on Dependability in Sensor, Cloud and Big Data Systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Feng, Xijin Liu, Qi Liu, Xiaodong School of Computer and Software Nanjing University of Information Science and Technology Engineering Research Center of Digital Forensics Nanjing China School of Computing Edinburgh Napier University Edinburgh United Kingdom

ISBN: (纸本)9781665494571

In order to build a smart city and pursue more efficient city management, various industries have introduced intelligent question answering into process management. the intelligent question answering system based on the knowledge graph is dedicated to feeding back the results of natural language questions to users, which greatly simplifies the urban management process. From the four methods of template-based, semantic parsing, sorting and retrieval, and deep learning, the intelligent question answer system based on the knowledge graph is summarized, and combined with the current application status, it summarizes and introduces the question answering system based on the knowledge graph that helps various industries in the construction of smart cities. It helps to provide new ideas for more researchers who are committed to urban management and knowledge graph question answering. © 2021 IEEE.

关键词： Industries Deep learning Smart cities Semantics Natural languages Sorting

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Personalized QoE Optimization with Edge-Aided Video Enhancement Services 23

Personalized QoE Optimization with Edge-Aided Video Enhancem...

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作者： Liao, Hanlong Tang, Guoming Liang, Teng Wang, Longguang Guo, Deke National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Hunan Changsha China Peng Cheng Laboratory Shenzhen China

ISBN: (纸本)9781665494571

Video enhancement technologies can not only improve video qualities but also enrich personalized video experiences. With these technologies, the requested videos can be enhanced either on end devices or cloud servers. However, client devices may not have sufficient computing resources or energy, while cloud servers may not satisfy users' short delay requirement. Motivated by the 5G and edge computing technologies, we present veEdge in this paper, an edge-assisted video transmission framework for general-purpose video enhancement services. To balance the trade-off between video enhancement quality and processing delay, we formulate an optimization problem considering video requesting, processing, and playback time simultaneously. To solve the problem in an online fashion, we develop a deep reinforcement learning (DRL) based approach to select the best video enhancement model in favor of various targets, such as bandwidth and quality. the experimental results show that our solutions can significantly improve users' quality of experience (QoE). © 2021 IEEE.

关键词： Adaptation models Processor scheduling Reinforcement learning Streaming media Delays Quality assessment Quality of experience

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BOBBLE: A Mixed Routing-Granularity Distributed Load Balancing for Data Center Networks 23

BOBBLE: A Mixed Routing-Granularity Distributed Load Balanci...

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作者： Xu, Zhengzhi Lu, Yifei Ma, Xu School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing210096 China State Key Lab of Mathematical Engineering and Advanced Computing Wuxi214215 China

ISBN: (纸本)9781665494571

In current Datacenter Networks (DCNs), Equal-Cost Multipath (ECMP) is a default load balancing scheme. However, using ECMP may result in rapid growth of Flow Completion Time (FCT) due to its well-known drawbacks. In order to solve the problem of ECMP, load balancing schemes with per-packet granularity (such as RPS) and per-flowlet granularity (such as LetFlow) are proposed. these two different granularities have their own features, but there's no existing load balancing considering both their advantages. In this paper, we mix per-flowlet and per-packet in scheduling decisions and introduce the potential performance bottleneck in mixed granularities load balancing. Based on this idea, we propose a hybrid scheme for load balancing, referred to as BOBBLE. the key idea of BOBBLE is to distinguish elephant and mouse flows and schedule them with different granularity. We evaluate BOBBLE in simulations with NS-3. Experiment shows that BOBBLE slightly sacrifices elephant flows FCT but it is worthy because our results demonstrate that BOBBLE is a good trade-off which outperforms RPS and LetFlow in mouse flows FCT in both symmetric and asymmetric topology. © 2021 IEEE.

关键词： Data centers Network topology Smart cities Load management Routing Mice Computer networks

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Cooperative Task Offloading for Internet of Vehicles in Cloud-edge computing 23

Cooperative Task Offloading for Internet of Vehicles in Clou...

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作者： Gu, Linjie Xu, Xiaolong Qi, Lianyong Zhang, Yiwen Zhang, Xuyun Dou, Wanchun Changwang School of Honors Nanjing University of Information Science and Technology Nanjing China School of Computer and Software Nanjing University of Information Science and Technology Nanjing China School of Information Science and Engineering Qufu Normal University China School of Computer Science and Technology Anhui University Anhui China Macquarie University The Department of Computing Sydney Australia Nanjing University State Key Laboratory for Novel Software Technology Nanjing China

ISBN: (纸本)9781665494571

In order to support computing-intensive and service-sensitive Internet of Vehicles (IoV) applications, Digital Twin and edge computing are attractive solutions. Most of the existing IoV service offloading solutions only consider edge-cloud collaboration, but the cooperation between small cell eNodeB(SCeNB) nodes should not be ignored. through reasonable cooperative computing between nodes, service delays far lower than offloading tasks to the cloud can be obtained. We generate and maintain the simulation of cooperation between SCeNB nodes by constructing a Digital twin to simulate SCeNB nodes in the small cell manager (SCM), thereby realizing user task offloading positions, sub-channel allocation and computing resource allocation. After that, we proposed an algorithm AUC-AC based on the dominant actor critic network and the auction-mechanism. In the DT of each SCeNB node, the global strategy is learned via deep reinforcement learning model. Numerical results show that our proposed experimental scheme is better than several baseline algorithms in terms of service delay. © 2021 IEEE.

关键词： Cloud computing Smart cities Computational modeling Reinforcement learning Digital twins Delays Numerical models

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Service-oriented computing: Agents, semantics, and engineering - AAMAS 2009 international Workshop SOCASE 2009, Budapest, Hungary, May 11, 2009. Proceedings: Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2009年 5907 LNCS卷 V-VI+VII页

作者： Kowalczyk, Ryszard Vo, Quoc Bao Maamar, Zakaria Huhns, Michael Swinburne University of Technology Hawthorn VIC 3122 Australia CIT Zayed University Dubai United Arab Emirates University of South Carolina Columbia SC 29208 United States

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Research on control flow conversion technique based on Domestic Sunway compiler 7

Research on control flow conversion technique based on Domes...

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7th international conference on Intelligent computing and Signal Processing, ICSP 2022

作者： Kong, JinYing Han, Lin Xu, JinLong Nie, Kai School of Information Engineering Zhengzhou University Henan Zhengzhou China Henan Supercomputing Center Zhengzhou University Henan China Information Engineering University Henan Zhengzhou China

ISBN: (纸本)9781665478571

Control flow conversion replaces a series of control-dependent instructions with only data-dependent instructions. Sunway compiler uses this technology to eliminate pipeline pauses caused by conditional branch statements, thereby improving the instruction-level parallelism of the overall program. Based on the instruction set characteristics and structural characteristics of the Sunway processor, the improvement is made for the inaccurate calculation of the control flow conversion cost in the RTL stage in the Sunway compiler. In the control flow conversion benefit judgment algorithm, by adding control flow basic blocks the execution frequency of the branch statement is weighted to calculate the expected value of the execution cost of the basic block of the branch statement to improve the accuracy of the cost calculation during the conversion process. Using SPEC2006 Benchmarks to test the performance of the improved compiler on the new generation of Sunway 1621 server, the overall performance is increased by 2%, and the maximum performance of a single subject is increased by 6%. this work improves the control flow conversion in the Sunway compiler. Efficiency is of great significance in order to give full play to the performance advantages of the domestic Sunway processor architecture. © 2022 IEEE.

关键词： Program compilers

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Winograd-CNN Accelerator Compatible with Sparse and Non-sparse Models 23

Winograd-CNN Accelerator Compatible with Sparse and Non-spar...

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作者： Li, Huazhen Chen, Weiting Wang, Jiangtao East China Normal University Hangzhou Hikvision Digital Technology Company Ltd Hikvision Research Institute Moe Engineering Research Center of Software/Hardware Co-Design Technology and Application Shanghai China East China Normal University Moe Engineering Research Center of Software/Hardware Co-Design Technology and Application Shanghai China

ISBN: (纸本)9781665494571

the inference speed of convolutional neural networks is a key factor for their application in the industry. the two research directions of non-sparse model acceleration and sparse model acceleration are now studied independently. In this paper, we propose a hybrid granular pruning method and a fixed-length binary pruning index scheme, based on which a compatible acceleration architecture is further designed. the hybrid granular pruning method is realized by executing fine-grained pruning after coarse-grained pruning. the binary pruning index scheme ensures a simple fixed-length binary mask to index valid weight positions no matter the model is pruned or not, thus makes it possible for an accelerator compatible with both non-sparse models without pruning and sparse models with hybrid granular pruning. An acceleration architecture is further designed, using a new data layout, a buffer-pipeline mechanism for the data buffering, and converting the Winograd algorithm into matrix operations with parallelism carried out from three aspects. the experimental results suggest that, our proposed acceleration solution shows not only better acceleration performance but also excellent compatibility, and it can be directly applied for the acceleration of models at different pruning levels without recompilation. © 2021 IEEE.

关键词： Industries Smart cities Layout Optimization methods Parallel processing Data models Sparse matrices

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the Latest Progress of Research on the Urban Functional Areas Based on CiteSpace Methods 23

The Latest Progress of Research on the Urban Functional Area...

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作者： Hu, Yanru Jing, Changfeng School of Geomatics and Urban Spatial Informatics Beijing University of Civil Engineering and Architecture Beijing China

ISBN: (纸本)9781665494571

With the rapid development of Information Communication technology (ICT), research on urban functional areas has been one of the hot research issue in urban study domain. CiteSpace as the bibliometric tools was widely used to detect the studies tendency toward several dimensions like country/institution, authors, cited references and keywords. therefore, the aim at this work is set to understand the research progress of urban functional areas in recent 30 years. this article explored the research hot-spots and development trended, and visualized the literature measurements of domestic and foreign literature. Finally, we tried to propose the challenge and research direction for future work based on the literature quantity and quality analysis. © 2021 IEEE.

关键词： Visualization Statistical analysis Smart cities Bibliometrics Collaboration Market research Software

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Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks 7th

Energy Efficient Routing Protocol for Multisink Wireless Sen...

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7th international conference on computing in engineering and technology, iccet 2022

作者： Rajanna, M. Shiva Murthy, G. Varaprasad, G. VTU PG Center Muddenahalli Chickballapur India BMS College of Engineering Bengaluru India

ISBN: (纸本)9789811927188

Wireless Sensor Network (WSN) is one of the major research areas. WSN contains thousands of sensor devices. these nodes can communicate with other nodes directly or indirectly through BaseStation (BS). Routing is one of the critical areas in the WSN. Many investigators proposed routing algorithms for single sink WSN. However, routing data in the multiple sink node is still more challenging. In this work, Energy Efficient Routing Protocol for Multisink Wireless Sensor Networks has routed the information through an optimal path between source to sink node. the optimal path is found considering parameters like residual energy, energy consumption rate, and hop count. Proposed EERP performs 48% improvement compared to EORA in average residual energy spent in routing. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Energy efficiency

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Analysis of Offloading Computation in Mobile Edge computing (MEC): A Survey 7

Analysis of Offloading Computation in Mobile Edge Computing ...

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7th international conference on Parallel, Distributed and Grid computing, PDGC 2022

作者： Sharma, Aarti Diwaker, Chander Nadiyan, Mamtesh University Institute of Engineering and Technology Computer Science and Engineering Kurukshetra India National Institute of Technology Computer Science and Engineering Kurukshetra India

ISBN: (纸本)9781665454018

Smartphones have made resource-intensive mobile applications indispensable in everyday life. To meet predetermined requirements and lighten the weight of such challenges brought on by the swift expansion of such serving technologies, distributed mobile edge computing (MEC) was developed to bring compute environments closer to end-users, frequently in a single step. To bridge the gap between the two, offloading techniques have been developed in the literature to shift resource-intensive tasks from mobile devices to nearby servers. there are many new concerns in the MEC context that make compute offloading problems more complex than ever before. these include the inherent software and hardware heterogeneity, constraints, ecosystem dynamics, and stochastic behaviour. the research also took into account a number of indicators relevant to computation offloading strategies in MEC. In this research, we provide a review of computation offloading strategies in the MEC setting in order to identify existing methods on this important topic and to raise unresolved challenges. the survey concludes with a case study illustrating MEC's applicability in the medical field. © 2022 IEEE.

关键词： Computation offloading

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