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Proceedings - 16th IEEE international Symposium on Parallel and distributed Processing with Applications, 17th IEEE international conference on Ubiquitous computing and Communications, 8th IEEE international conference on Big Data and Cloud computing, 11th IEEE international conference on Social computing and networking and 8th IEEE international conference on Sustainable computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

Proceedings - 16th IEEE International Symposium on Parallel ...

引用

16th IEEE international Symposium on Parallel and distributed Processing with Applications, 17th IEEE international conference on Ubiquitous computing and Communications, 8th IEEE international conference on Big Data and Cloud computing, 11th IEEE international conference on Social computing and networking and 8th IEEE international conference on Sustainable computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018

ISBN: (纸本)9781728111414

the proceedings contain 161 papers. the topics discussed include: deep learning for phishing detection;a partition matching method for optimal attack path analysis;an energy and robustness adjustable optimization method of file distribution services;deriving the political affinity of twitter users from their followers;on the usability of big (social) data;re-running large-scale parallel programs using two nodes;predicting hacker adoption on darkweb forums using sequential rule mining;an on-the-fly scheduling strategy for distributed stream processing platform;deadlock-free adaptive routing based on the repetitive turn model for 3D network-on-chip;and radix: enabling high-throughput georeferencing for phenotype monitoring over voluminous observational data.

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TreeOptimizer: A classifier-based task scheduling framework 23

TreeOptimizer: A classifier-based task scheduling framework

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24th international conference on distributed computing and networking (icdcn)

作者： Venkatesh, Pruthvi Raj Srinivas, M. Krishna, P. Radha Openstream Technol Bangalore Karnataka India Natl Inst Technol Warangal Andhra Pradesh India

ISBN: (纸本)9781450397964

distributed computing (DC) involves a collection of tasks (or modules) executed in parallel on different compute nodes connected through a network. Cloud Service providers (CSP) such as Azure[1], Amazon[2], and Google[3] are providing DC platforms as PaaS (Platform As A Service) offerings. these cloud platforms reduce implementation costs but have a significant drawback as these services can be configured to spawn only a single type of compute node for executing all the tasks in the DC environment. these drawback lead to inefficiency in execution cost and time as each task will have specific compute node requirements. this paper presents a novel framework called TreeOptimizer(TO) to resolve these shortcomings. TO uses a classifier-based dynamic task scheduling to determine the best available node to perform the task. the framework has been tested in Azure Batch[1] for an Oil Industry use case for extracting data from scanned images. Experimental results indicate that TO significantly reduces the overall execution cost by 68% and processing time by 8%. Although this paper uses Batch Service to explain the proposed framework, it can be applied to other PaaS DC platforms.

关键词： distributed computing Azure Batch Decision Tree PaaS CSP

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the Anatomy of an Infrastructure for Digital Underground Mining 8

The Anatomy of an Infrastructure for Digital Underground Min...

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8th international conference on Internet of things, Big Data and Security (IoTBDS)

作者： Sreedharan, Sreekant Ramachandran, Muthu Ghosh, Soma Prakash, Suraj IIT ISM Dhanbad TEXMiN Fdn 3rd Floor CRE Bldg Dhanbad India Univ Southampton Dept Comp Sci Southampton England JPMorgan Chase & Co Engn & Architecture AI ML Bangalore India

ISBN: (纸本)9789897586439

Over 41.6 billion IoT devices are expected to come online by 2025, collectively capable of generating 80 zettabytes (ZB) of data. Despite the relentless progress in adoption of smart devices occurring around all us in our smart homes, our wearable devices, our smart cities and workplaces -, progress in the adoption of smart technology in the mining sector has languished. Yet the mining sector powers our energy systems and makes components for smart devices possible, while employing over 4.5 million people world-wide in some of the most extreme & hostile environments. this paper presents the design of a prototype industrial IoT platform for large-scale industrial automation of conventional mines.

关键词： Architecture Industrial IoT Mining4.0 Edge computing distributed computing Smart Infrastructure Private Cloud computing Real-Time Operating Systems Wireless Mesh networking Wearable computing distributed Automation

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Efficientdet Based Visial Perception for Autonomous Driving 8

Efficientdet Based Visial Perception for Autonomous Driving

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8th international conference on Cloud computing and Big Data Analytics (ICCCBDA)

作者： Lyu, Chenxi Fan, Xinwen Qiu, Zhenyu Chen, Jun Lin, Jingsong Dong, Chen Fuzhou Univ Coll Comp & Data Sci Fuzhou Peoples R China Xiamen Univ Sch Informat Xiamen Peoples R China Fujian Jiangxia Univ Coll Elect & Informat Sci Fuzhou Peoples R China

ISBN: (纸本)9781665455336

In the realm of big data and cloud computing, the autonomous vehicle is an extremely promising and complex research topic, which is driven primarily by computer systems that employ AI technology, radar, GPS, visual computing, cloud computing, and other technologies to operate. autonomous vehicles use LIDAR to sense road information, and highly accurate maps are integrated with V2X (vehicle networking technology) to recognize relevant information such as traffic lights and speed limit signs. However, in some remote areas where map information needs to be completed, recognition of traffic lights and traffic signs cannot rely on positioning to achieve this. this paper uses the Efficientdet-d1 target detection algorithm built on Pytorch to simulate autonomous vehicles sensing pedestrian, vehicle, traffic light, and traffic sign information. this target detection algorithm uses EfficientNet-B1 as the backbone network and enhances the feature extraction process using four stacked BiFPN modules. the method involves using the open source big dataset LISA traffic light dataset and GTSRB German traffic sign dataset to train the model. Considering the uneven distribution of samples in the dataset, these classes are distributed into three Efficientdet-d1 target detection frameworks for pedestrians and various types of vehicles, traffic lights, and traffic signs, respectively. A multi-threaded approach allows the three detection processes to be executed simultaneously. the detection results are stored in a queue before aggregation for mapping to improve the speed of single-image execution. the experiments show the three prediction networks used achieved better results overall. the method proposed in this paper is a practical guide for autonomous vehicles to make road condition judgments during driving in remote areas.

关键词： computer vision efficientdet automatic driving big data cloud computing

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Efficient Transparent Access to 5G Edge Services 8

Efficient Transparent Access to 5G Edge Services

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8th IEEE international conference on Network Softwarization (NetSoft) - Network Softwarization Coming of Age - New Challenges and Opportunities

作者： Hammer, Josef Hellwagner, Hermann Alpen Adria Univ Klagenfurt Inst Informat Technol Klagenfurt Austria

ISBN: (纸本)9781665406949

Multi-access Edge computing (MEC) is a central piece of 5G telecommunication systems and is essential to satisfy the challenging low-latency demands of future applications. MEC provides a cloud computing platform at the edge of the radio access network that developers can utilize for their applications. In [1] we argued that edge computing should be transparent to clients and introduced a solution to that end. this paper presents how to efficiently implement such a transparent approach, leveraging Software-Defined networking. For high performance and scalability, our architecture focuses on three aspects: (i) a modular architecture that can easily be distributed onto multiple switches/controllers, (ii) multiple filter stages to avoid screening traffic not intended for the edge, and (iii) several strategies to keep the number of flows low to make the best use of the precious flow table memory in hardware switches. A performance evaluation is shown, with results from a real edge/fog testbed.

关键词： 5G Multi-Access Edge computing MEC Patricia Trie SDN Software-Defined networking

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distributed Uniform Partitioning of a Region using Opaque ASYNC Luminous Mobile Robots 24

Distributed Uniform Partitioning of a Region using Opaque AS...

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25th international conference on distributed computing and networking, icdcn 2024

作者： Pramanick, Subhajit Jana, Saswata Bhattacharya, Adri Mandal, Partha Sarathi Indian Institute of Technology Guwahati Guwahati India

ISBN: (纸本)9798400716737

the uniform partitioning problem, driven by the need for an equitable distribution of workload, finds numerous practical applications in the real world. For that purpose, in this paper, we consider N autonomous mobile robots, deployed inside a bounded region. the robots are opaque which means that three collinear robots are unable to see each other as one of the robots acts as an obstruction for the other two. they operate in classical Look-Compute-Move (LCM) activation cycles. Moreover, the robots are oblivious except for a persistent light (which is why they are called Luminous robots) that can determine a color from a fixed color set. Obliviousness does not allow the robots to remember any information from past activation cycles. the Uniform Partitioning problem requires the robots to partition the whole region into sub-regions of equal area, each of which contains exactly one robot. Due to application-oriented motivation, we, in this paper consider the region to be well-known geometric shapes such as rectangle, square and circle. We investigate the problem in asynchronous setting where there is no notion of common time and any robot gets activated at any time with a fair assumption that every robot needs to get activated infinitely often. To the best of our knowledge, this is the first attempt to study the Uniform Partitioning problem using oblivious opaque robots working under asynchronous settings. We propose three algorithms considering three different regions: rectangle, square and circle. Robots partition the region in a distributed way and reach their respective positions in the partitions. the algorithms proposed for rectangular and square regions run in O(N) epochs whereas the algorithm for circular regions runs in O(N2) epochs, where an epoch is the smallest unit of time in which all robots are activated at least once and execute their LCM cycles. © 2024 ACM.

关键词： Multi agent systems

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Resource Allocation in Quantum Networks for distributed Quantum computing 8

Resource Allocation in Quantum Networks for Distributed Quan...

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8th IEEE international conference on Smart computing (SMARTCOMP)

作者： Cicconetti, Claudio Conti, Marco Passarella, Andrea CNR Inst Informat & Telemat Pisa Italy

ISBN: (纸本)9781665481526

the evolution of quantum computing technologies has been advancing at a steady pace in the recent years, and the current trend suggests that it will become available at scale for commercial purposes in the near future. the acceleration can be boosted by pooling compute infrastructures to either parallelize algorithm execution or solve bigger instances that are not feasible on a single quantum computer, which requires an underlying Quantum Internet: the interconnection of quantum computers by quantum links and repeaters to exchange entangled quantum bits. However, Quantum Internet research so far has been focused on provisioning point-to-point flows only, which is suitable for (e.g.) quantum sensing and metrology, but not for distributed quantum computing. In this paper, after a primer on quantum computing and networking, we investigate the requirements and objectives of smart computing on distributed nodes from the perspective of quantum network provisioning. We then design a resource allocation strategy that is evaluated through a comprehensive simulation campaign, whose results highlight the key features and performance issues, and lead the way to further investigation in this direction.

关键词： distributed Quantum computing Quantum Internet Quantum Routing

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Proceedings of DRBSD-8 2022: 8th international Workshop on Data Analysis and Reduction for Big Scientific Data, Held in conjunction with SC 2022: the international conference for High Performance computing, networking, Storage and Analysis

Proceedings of DRBSD-8 2022: 8th International Workshop on D...

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8th IEEE/ACM international Workshop on Data Analysis and Reduction for Big Scientific Data, DRBSD-8 2022

ISBN: (纸本)9781665463379

the proceedings contain 8 papers. the topics discussed include: understanding the effects of modern compressors on the community earth science model;analyzing the impact of lossy data reduction on volume rendering of cosmology data;exploring data reduction techniques for additive manufacturing analysis;what can real information content tell us about compressing climate model data?;evaluating nonuniform reduction in HIP and SYCL on GPUs;understanding impact of lossy compression on derivative-related metrics in scientific datasets;dynamic clustering-based sharding in distributed deduplication systems;and characterization of transform-based lossy compression for HPC datasets.

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An NFT-based distributed Auction Mechanism for Multi-Resource Trading in computing Power Network 8

An NFT-based Distributed Auction Mechanism for Multi-Resourc...

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8th IEEE international conference on Computer and Communications, ICCC 2022

作者： Han, Lu Xie, Renchao Ren, Yuzheng Yu, F. Richard Huang, Tao Beijing University of Posts and Telecommunications State Key Lab. of Networking and Switching Technology Beijing China Carleton University Depart. of Systems and Computer Eng. OttawaON Canada

ISBN: (纸本)9781665450515

As a recently proposed network architecture, the computing power network (CPN) combines the ability of end, edge, cloud computing, and transmission network to realize the flexible and efficient scheduling and transaction of ubiquitous multi-resources, such as computing, cache, communications, and intelligent models. However, in CPN, multi-resources are deployed in a distributed manner. So, efficient, reliable and distributed resource transaction solutions are sought. therefore, in this paper, we propose a non-fungible token (NFT)-based resource transaction scheme for CPN. We use NFT to tokenize and describe multi-resources by metadata to enable applications to network multi-resources efficiently and ensure transaction se-curity. Also, we formulate the trading utility of sellers and buyers and present a trusted trading process. To improve the system efficiency by increasing the matching success rate and simplify the complexity of combinatorial resources matching, we design the decision and pricing policy by distributed double auction mechanism. Simulation results demonstrate the effectiveness of the proposed scheme. © 2022 IEEE.

关键词： computing power

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Cloud computing and its Application in the Future Fire Control System of Ground Combat Platform 8

Cloud Computing and its Application in The Future Fire Contr...

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8th international conference on Big Data and Information Analytics, BigDIA 2022

作者： Wang, Quandong Xiao, Bo Niu, Zhiyi Center for Strategic Evaluation Consultation Academy of Military Sciences Beijing China

ISBN: (数字)9781665487962

ISBN: (纸本)9781665487962

this paper first discusses the concept, architecture and technical advantages of cloud computing. Secondly, focusing on the operational requirements of future information warfare, the development trend of existing fire control platforms is analyzed and the concept of cloud fire control is proposed. Taking the ground combat platform as the object, the basic principle, system structure and composition of the cloud fire control of the ground combat platform are analyzed and designed in depth. Finally, the key technologies of distributed dynamic networking, mobile cooperative awareness, and multi-platform collaborative attack and decision-making that need to be solved in cloud fire control system are pointed out, which can provide reference for the development of cloud fire control system for future ground combat platforms. © 2022 IEEE.

关键词： Fire control systems

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