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检索条件"任意字段=5th International Conference on Distributed Computing and Internet Technology, ICDCIT 2008"

共 299 条记录，以下是31-40 订阅

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Implementation of distributed Crawler System Based on Spark for Massive Data Mining 5

Implementation of Distributed Crawler System Based on Spark ...

引用

IEEE 5th international conference on Computer and Communication Systems (ICCCS)

作者： Liu, Feng Xin, Wang Hebei GEO Univ Shijiazhuang Hebei Peoples R China Hebei Software Testing Ctr Shijiazhuang Hebei Peoples R China

ISBN: (纸本)9781728161365

In the era of rapid development of internet technology and increasing social needs of people, web crawlers have been maturely applied to major search engines and search fields. By using Spark's RDD elastic computing architecture and task assignment algorithm, this paper integrates the architecture of Spark-based distributed crawler system, gives the corresponding framework diagram, and introduces the distributed framework system in detail. through this Spark-based distributed crawler system we can solve the problem of insufficient resource utilization and low collection efficiency, and then solve the contradiction between the current explosive growth of data scale and the speed of obtaining information.

关键词： spark distributed web crawler framework

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Detection and Analysis Framework of Anomalous internet Crime Data Based on Edge computing 5

Detection and Analysis Framework of Anomalous Internet Crime...

引用

5th international conference on Inventive Computation Technologies (ICICT)

作者： Cai, Yijun Li, Dian Wang, Yuyue Shanghai Univ Polit Sci & Law Shanghai 201701 Peoples R China Jiaxing Univ Fac Literature & Law Jiaxing 314033 Zhejiang Peoples R China Autodesk Software China Co Ltd Shanghai 200122 Peoples R China

ISBN: (纸本)9781728146850

Detection and analysis framework of anomalous internet crime data based on edge computing is designed in this paper. the edge server is both the edge data processing center and the data storage center. the edge server receives the edge device data for processing and returns the processing result to the edge device. It complements cloud computing and cloud services, is close to users and data sources, and provides a new computing model for intelligent computing. therefore, edge computing is another new computing model after distributed computing, grid computing, and cloud computing. Inspired by the features of this technology, this paper proposes the novel data crime analytic framework. the numerical experiment has proven the satisfactory performance of the proposed method.

关键词： Edge computing internet Crime Data Mining Anomalous Information Detection and Analysis

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A Survey of RDMA distributed Storage 24

A Survey of RDMA Distributed Storage

引用

5th international conference on computing, Networks and internet of things (CNIOT)

作者： Wang, Ziqi Liu, Yaping Zhang, Shuo Hu, Jinrui Liu, Xinyi Guangzhou Univ Sch Cyberspace Inst Adv Technol Guangzhou Peoples R China Peng Cheng Lab Shenzhen Shenzhen 518000 Peoples R China

ISBN: (纸本)9798400716751

With the evolution of networking technology, RDMA (Remote Direct Memory Access) has become an increasingly critical component in data centers. Its zero-copy and kernel-bypass capabilities significantly boost network transmission speeds and reduce communication latency, leading to software layers such as drivers and libraries becoming the new bottlenecks. distributed storage also plays a vital role in data centers, and integrating RDMA into traditional distributed storage clusters presents a promising direction. However, distributed storage involves complex cluster designs, like hash index, making the deployment and effective utilization of features of RDMA a substantial challenge. Researchers must invest considerable effort to thoroughly understand these complexities. this paper organizes the principles of RDMA and its relation to distributed storage and challenges faced. We summarize recent research in the deployment of RDMA, covering aspects such as RDMA-based distributed file systems, distributed key-value storage systems, and compute offload using smart NICs. Finally, we look ahead at the future research of RDMA in distributed storage, offering direction and insight for ongoing and future research in this evolving field.

关键词： RDMA distributed Storage Datacenter

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A Computational Evaluation of distributed Machine Learning Algorithms 5

A Computational Evaluation of Distributed Machine Learning A...

引用

IEEE 5th international conference for Convergence in technology (I2CT)

作者： Magdum, Junaid Ghorse, Ritesh Chaku, Chetan Barhate, Rahul Deshmukh, Shyam PICT Dept Informat Technol Pune Maharashtra India MIT Coll Engn Dept Informat Technol Pune Maharashtra India

ISBN: (纸本)9781538680759

Over the past few years, availability of data throughout the internet has scaled to petabytes. Processing this data demands a strong computing mechanism rather than usual machine learning techniques. distributed machine learning solves this problem with distributed system environment. It refers to multi-node machine learning algorithms and systems that are designed to scale to larger input data sizes. To understand the best possible utilization for each algorithm in a parallel computing environment, a detailed study of these distributed machine learning algorithms is necessary. To summarize and evaluate their performance, parameters such as Execution time, CPU usage, Memory usage rate and Accuracy have been considered for each algorithm. the experiment conducted on LightGBM, CatBoost, AdaBoost and XGBoost demonstrated that CatBoost performed the best with an accuracy of 81.31% amongst the other algorithms. this analysis will thus help beginners and business firms chose the appropriate algorithm for their specific distributed machine learning application.

关键词： distributed Machine Learning XGBoost LightGBM CatBoost AdaBoost Performance Analysis

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On Performance Study of the Global Arrays Toolkit on Cluster and Grid computing Environments

On Performance Study of The Global Arrays Toolkit on Cluster...

引用

5th international conference on Electrical Engineering/Electronics, Computer Telecommunications and Information technology

作者： Sirisup, Sirod U-ruekolan, Suriya NECTEC Large Scale Simulat Res Lab Klongluang 12120 Pathumthani Thailand

ISBN: (纸本)9781424421015

the Global Arrays toolkit is a library that allows programmers to write parallel programs that use large arrays distributed across processing nodes. the toolkit provides advantage of one-sided communication operations through the Aggregate Remote Memory Copy Interface (ARMCI). In this study, we investigate the performance of a parallel application implemented with (he toolkit on cluster and Grid computing environments as well as comparison of performance of same application implemented with MPI library. In cluster computing environment, the performance of the evaluating application implemented with the toolkit outperforms MPICH implementation when message size is large enough. However, for Grid computing environment with lower bandwidth and high latency conditions, the performance of the evaluating application implemented with the toolkit is significantly dropped compared to that of the MPICH-G2 implementation.

关键词： Cluster computing

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Hierarchical self-destruction method and case study on distributed computing system

Hierarchical self-destruction method and case study on distr...

引用

5th international conference on internet computing for Science and Engineering, ICICSE 2010

作者： Lin, Junyu Wang, Huiqiang Qiu, Zhitao Feng, Guangsheng College of Computer Science and Technology Harbin Engineering University Harbin China

ISBN: (纸本)9780769543390

Self-destruction technology is very important to protect privacy information and is the ultimate means for information security. To achieve self-destruction of distributed system, a hierarchical self-destruction system model is established. Based on rough set theory, self-destructive conditions are determined and self-destruction realization method is designed based on components. At last, self-destruction process is analyzed combined with application examples. the results show that the method can self-destruct distributed system effectively and the self-destructed part can not be recovered. Self-destruction correctness and time-efficiency is higher, which has good feasibility and practicality © 2010 IEEE.

关键词： Rough set theory

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Privacy in internet of things: A Model and Protection Framework 6th

Privacy in Internet of Things: A Model and Protection Framew...

引用

6th international conference on Ambient Systems, Networks and Technologies (ANT) / 5th international conference on Sustainable Energy Information technology (SEIT)

作者： Samani, Afshan Ghenniwa, Hamada H. Wahaishi, Abdulmutalib Univ Western Ontario Elect & Comp Engn London ON Canada United Arab Emirates Univ Coll Informat Technol Al Ain U Arab Emirates

A new form of computation is being evolved to include massive number of diverse set of conventional computing systems, sensors, devices, equipments, software and information services and apps. this new form of computing environment is known as the "internet-of-things" (IoT). the adoption of IoT is fast and the "things" are becoming integral part of people day-to-day life as well as essential elements in the businesses everyday activities and processes. Open characteristics of IoT environments raises privacy concern as "things" are autonomous with some degree of authority to sharing their capabilities and knowledge to fulfil their individual or collective tasks. As such privacy becomes central and an inherit computational aspect of the "things". the work presented here is based on modelling IoT as Cooperative distributed Systems (CDS). It proposes a novel approach of analysing and modelling privacy concepts and concerns. Privacy protection is captured as a form of "sensitive information" management at the interaction level. A privacy protection management framework for CDS at the interaction level is proposed. the application of the framework has been demonstrated by extending Contract Net Protocol (CNP) to support privacy protection for CDS. (C) 2015 Published by Elsevier B.V. this is an open access article under the CC BY-NC-ND license (http://***/licenses/by-nc-nd/4.0/).

关键词： Privacy IoT Cooperative distributed Systems (CDS)

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distributed Semantic Reasoning enabled by Fog computing 12

Distributed Semantic Reasoning enabled by Fog Computing

引用

IEEE Int Congr on Cybermat / 12th IEEE Int Conf on Cyber, Phys and Social Comp (CPSCom) / 15th IEEE Int Conf on Green computing and Communications (GreenCom) / 12th IEEE Int Conf on internet of things (ithings) / 5th IEEE Int Conf on Smart Data

作者： Chien, Yu Hsiang Lin, Fuchun Joseph Natl Chiao Tung Univ Coll Comp Sci Dept Comp Sci Hsinchu Taiwan

ISBN: (纸本)9781728129808

the emergence of various internet of things (IoT) applications has hastened the introduction of Semantics Interoperability (SI). Instead of storing enormous raw data, SI attempts to annotate these data with semantic information (a.k.a. ontology) that can enable smart management of the ever-increasing data generated by IoT. One of the main features of ontology is semantic reasoning for deriving implicit knowledge from explicit context information. Nevertheless, such semantic reasoning in the cloud can be computationally expensive with the gigantic amount of incoming data. In this research, we propose the adoption of "Fog computing" to distribute the procedure of semantic reasoning among a hierarchy of distributed Fog nodes than in a centralized cloud. To verify the effectiveness of our methods, we compare the proposed distributed Fog architecture with a centralized Cloud system based on the use case of elderly care.

关键词： internet of things Fog computing Semantic Reasoning Smart Home Elderly Care oneM2M

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A novel algorithm for distributed data mining in HDFS 5

A novel algorithm for distributed data mining in HDFS

引用

5th international conference on Advanced computing, ICoAC 2013

作者： Natarajan, Surendar Sehar, Sountharrajan Bannari Amman Institute of Technology Sathyamangalam India

ISBN: (纸本)9781479934478

Evolution of Cloud computing technology over the internet and drastic increase in data size and intensity (Big Data) persuade Map Reduce and distributed file systems like HDFS (Hadoop distributed File System) as the paradigm of choice for distributed data mining applications. With size and complexity of data growing every day, distributed data mining algorithms has to be designed to handle Big Data in compatible with the latest technology available on distributed computing. Earlier research activities in data mining comprises, focus on increasing the performance for single task computing algorithms rather than distributed computing which would provide more fast and scalable environment for processing large datasets. Existing algorithms in the field of distributed frequent pattern data mining includes, TPFP-tree, BTP tree, and CARM. But these algorithms suffer from unbalanced workload management among its clusters. In this paper, a novel algorithm, named Association rule mining based on Hadoop (ARMH) has been proposed to utilize the clusters effectively and mining frequent pattern from large databases. Hadoop distributed framework helps in managing the workload among the clusters. the ARMH was implemented in hadoop using Map Reduce programming paradigm. © 2013 IEEE.

关键词： Data mining

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Securing Firmware in internet of things using Blockchain 5

Securing Firmware in Internet of Things using Blockchain

引用

5th international conference on Advanced computing and Communication Systems (ICACCS)

作者： Pillai, Akshay Sindhu, M. Lakshmy, K., V Amrita Vishwa Vidyapeetham Amrita Sch Engn TIFAC CORE Cyber Secur Coimbatore Tamil Nadu India

ISBN: (纸本)9781538695333

As of today, most of the internet of things (IoT) devices work in a centralized environment. With IoT devices having to execute thousands of operations per second, it has become difficult for centralized systems to handle such platforms. Also, factors like operational and maintenance cost of these server machines and danger of DoS(Denial of Service) attack on such servers has threatened the practitioners to come up with a more distributed way of storing the contents. With its decentralized and privacy preserving features, blockchain technology fits well into the scheme of things. this mitigates the quintessential challenges faced in most of the centralized systems. In this paper, we are focusing on the new firmware update scheme to perform the update operations securely. We propose a blockchain based solution for managing firmware updates in IoT. Improper management of devices and distribution of firmware updates from the device vendor could sabotage the IoT ecosystem. the objective of this proposed scheme is to verify and distribute the firmware binaries securely to the IoT device deployed by the device vendor. the PUSH-based method is used for a firmware update in which verification of firmware is done by Hash Chain. It preserves the integrity of firmware by linking the latest version information by previous versions information with the help of a smart contract mechanism.

关键词： internet of things Blockchain Smart Contracts Firmware Update

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