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检索条件"任意字段=9th International Conference on Distributed Computing and Internet Technology, ICDCIT 2013"

共 273 条记录，以下是101-110 订阅

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An Immuno-inspired distributed Artificial Classification System 1

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9th international conference on Soft computing for Problem Solving, SocProS 2019

作者： Semwal, Tushar Nair, Shivashankar B. Indian Institute of Technology Guwahati Guwahati781039 India

ISBN: (数字)9789811532900

ISBN: (纸本)9789811532894

With the advent of distributed systems such as the internet of things (IoT), there has been a surge in the amount of data being generated by the computational nodes. Classification of these datasets remains a challenging problem, especially in distributed scenarios where the data is not situated within a single node. this paper describes a novel immuno-inspired distributed Artificial Classification System (iDACS) to solve this problem within a distributed network of nodes. It uses a combination of mechanisms from the Clonal Selection theory, the Immune Network theory, and the Danger theory, to realize a system that can solve the classification problem in a distributed manner. the results obtained from experiments performed on real networks when compared with five other standard classification models revealed that the proposed system was more suited to distributed scenarios. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Classification (of information)

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A new method of privacy preserving computation over 2-part fully distributed data

A new method of privacy preserving computation over 2-part f...

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9th international conference on computing and Information technology, IC2IT 2013

作者： Luong, the Dung Tran, Dang Hung Academy of Cryotographic Techniques Hanoi Viet Nam Hanoi National University of Education Hanoi Viet Nam

ISBN: (纸本)9783642373701

In this paper, we propose a new protocol of privacy preserving frequency computation in 2-part fully distributed data (2PFD). this protocol are practical than of previous protocol. More specifically, we achieve a protocol that can be done in situations with various number of users and larger than a given threshold. © 2013 Springer-Verlag.

关键词： Data mining

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Pairing Computations at the Edge and Cloud Servers to Improve Performance of Heterogeneous Systems 9

Pairing Computations at the Edge and Cloud Servers to Improv...

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9th IEEE international conference on Fog and Mobile Edge computing (FMEC)

作者： Uddin, Md Raihan Abu Asaduzzaman Wichita State Univ Dept Elect & Comp Engn Wichita KS 67260 USA

ISBN: (纸本)9798350366495;9798350366488

High speed internet and advanced networking technology contribute to having large number of various edge devices in heterogeneous edge-cloud systems. In conventional cloud computing systems, all device data is processed in the centralized cloud servers. the growing number of devices, i.e., increasing amount of device data, poses a challenge to the cloud servers to process data in a time- and energy-efficient manner. Studies show promise to reduce execution time and energy consumption by introducing collaborative edge-cloud computing paradigm. In this work, we study collaborative edge-cloud computing by introducing a framework of pairing the computations at edge and cloud resources to minimize execution time and energy consumption. First, the cloud servers (CSs) are made about 90% utilized by adjusting the device data i. e., computed data. then, each edge server (ES) is optimized using 50% or less of the previously generated device data i.e., cloud computed data. Finally, computations (i.e., device data) are distributed among the ESs and CSs, and performance is assessed to obtain the optimal pairing of computations. A heterogeneous system with one CS, two ESs, 10 edges, and 30 devices of five different types is modeled and simulated using VisualSim. Experimental results show that the proposed method helps reduce execution time and energy consumption by 90% and 56%, respectively. the proposed framework holds a promise for enhancing the scalability of heterogeneous systems, an avenue we intend to explore in our upcoming venture.

关键词： Edge computing cloud computing execution time energy consumption heterogeneous systems utilization edge-cloud computing

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DNet: An efficient privacy-preserving distributed learning framework for healthcare systems 17th

DNet: An efficient privacy-preserving distributed learning f...

引用

17th international conference on distributed computing and internet technology, icdcit 2021

作者： Kulkarni, Parth Parag Kasyap, Harsh Tripathy, Somanath Department of Computer Science and Engineering Indian Institute of Technology Patna Patna India

ISBN: (纸本)9783030656201

Medical data held in silos by institutions, makes it challenging to predict new trends and gain insights, as, sharing individual data leaks user privacy and is restricted by law. Meanwhile, the Federated Learning framework [11] would solve this problem by facilitating on-device training while preserving privacy. However, the presence of a central server has its inherent problems, including a single point of failure and trust. Moreover, data may be prone to inference attacks. this paper presents a distributed Net algorithm called DNet to address these issues posing its own set of challenges in terms of high communication latency, performance, and efficiency. Four different networks have been discussed and compared for computation, latency, and precision. Empirical analysis has been performed over Chest X-ray Images and COVID-19 dataset. the theoretical analysis proves our claim that the algorithm has a lower communication latency and provides an upper bound. © Springer Nature Switzerland AG 2021.

关键词： Learning systems

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A Novel distributed computing Resource Operation Mechanism for Edge computing 9

A Novel Distributed Computing Resource Operation Mechanism f...

引用

9th international conference on Computer and Communications, ICCC 2023

作者： Wei, Hua Guan, Yunxia Zhao, Qihui Zhang, Tingting Liu, Jinglei Zhang, Hao China Mobile Research Institute Department of Network and It Technology Research Beijing100053 China

ISBN: (纸本)9798350317251

Traditional cloud computing services are generally deployed centrally, which can not meet the ultra-low delay requirements of services such as VR/AR, internet of Vehicles, and cloud games. Edge computing can solve this problem by deploying nodes near users. Edge nodes are geographically dispersed and great in number, which usually are not provided by single edge computing service provider but by multiple. these providers are in competitive relationship. Tradition centralized cloud computing resource operation model can't achieve unified resource orchestration and operation among edge nodes. therefore, a fair and efficient computing resources operation mechanism is necessary. In this paper, firstly, we design a new distributed computing resource operation strategy. In the state of perfect competition, each edge node decides the price of local computing resources by itself. Users can freely choose among many providers according to their own strategies, realizing fair competition among different edge computing service providers. then, to increase the market size while maximize the revenue of edge computing service providers, we define a multi-objective optimization model. Finally, we design a dynamic price adjustment mechanism to calculate reference price for edge node. the simulation results show that the computing resource operation mechanism we designed is significantly better than the traditional edge computing model. © 2023 IEEE.

关键词： Edge computing

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Assessing measurements of QoS for global cloud computing services

Assessing measurements of QoS for global cloud computing ser...

引用

9th IEEE Int. Conf. on Dependable, Autonomic and Secure Comput., DASC 2011, incl. 9th Int. Conf. on Pervasive Intelligence and computing, PICom 2011, 9th Int. Symp. on Embedded computing, EmbeddedCom 2011, 1st Int. Conf. on Cloud and Green Comput.CGC

作者： Pedersen, Jens Myrup Riaz, M. Tahir Celestino Jr., Joaquim Dubalski, Bozydar Ledzinski, Damian Patel, Ahmed Department of Electronic Systems Aalborg University Aalborg Denmark Fortaleza Ceará Brazil Institute of Telecommunications University of Technology and Life Sciences Bydgoszcz Poland Software Technology and Management Research Center Faculty of Information Science and Technology University Kebangsaan Malaysia UKM Bangi Sengalor Malaysia

ISBN: (纸本)9780769546124

Many global distributed cloud computing applications and services running over the internet, between globally dispersed clients and servers, will require certain levels of Quality of Service (QoS) in order to deliver and give a sufficiently smooth user experience. this would be essential for real-time streaming multimedia applications like online gaming and watching movies on a pay as you use basis hosted in a cloud computing environment. However, guaranteeing or even predicting QoS in global and diverse networks supporting complex hosting of application services is a very challenging issue that needs a stepwise refinement approach to be solved as the technology of cloud computing matures. In this paper, we investigate if latency in terms of simple Ping measurements can be used as an indicator for other QoS parameters such as jitter and throughput. the experiments were carried out on a global scale, between servers placed in universities in Denmark, Poland, Brazil and Malaysia. the results show some correlation between latency and throughput, and between latency and jitter, even though the results are not completely consistent. As a side result, we were able to monitor the changes in QoS parameters during a number of 24-hour periods. this is also a first step towards defining QoS parameters to be included in Service Level Agreements for cloud computing in the foreseeable future. © 2011 IEEE.

关键词： Quality of service

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Accurate weather forecasting through locality based collaborative computing

Accurate weather forecasting through locality based collabor...

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9th IEEE international conference on Collaborative computing: Networking, Applications and Worksharing, COLLABORATECOM 2013

作者： Fjukstad, Bård Bjørndalen, John Markus Anshus, Otto Department of Computer Science Faculty of Science and Technology University of Tromsø Norway Norwegian Meteorological Institute Forecasting Division for Northern Norway Norway

ISBN: (纸本)9781936968923

the Collaborative Symbiotic Weather Forecasting (CSWF) system lets a user compute a short time, high-resolution forecast for a small region around the user, in a few minutes, on-demand, on a PC. A collaborated forecast giving better uncertainty estimation is then created using forecasts from other users in the same general region. A collaborated forecast can be visualized on a range of devices and in a range of styles, typically as a composite of the individual forecasts. CSWF assumes locality between forecasts, regions, and PCs. Forecasts for a region are computed by and stored on PCs located within the region. To locate forecasts, CSWF simply scans specific ports on public IP addresses in the local area. Scanning is robust because it avoids maintaining state about others and fast because the number of computers is low and only a few forecasts are needed. © 2013 ICST.

关键词： distributed computer systems

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Towards a Human Centric Intelligent Society: Using Cloud and the Web of Everything to Facilitate New Social Infrastructures 9

Towards a Human Centric Intelligent Society: Using Cloud and...

引用

9th international conference on Innovative Mobile and internet Services in Ubiquitous computing, IMIS 2015

作者： thomas, Ian Fedon, Lou Jara, Antonio Bocchi, Yann Fujitsu RunMyProcess Paris France Sierre Switzerland

ISBN: (纸本)9781479988730

We believe we are witnessing the emergence of a new technology paradigm, one which focuses on the large scale integration and simplification of distributed technologies along with their fundamental realignment around the needs of people and society. the new Human Centric Intelligent Society which results from these changes will connect information from many different sources across the physical and virtual worlds, using the power of integration to achieve new insights and to enact change in ways which are quicker and more context aware than ever before. We believe that this new and more human centric form of technology has the potential to create safer, more comfortable and more prosperous societies, but we still face several challenges, including the difficulties of connecting disparate resources and the complexities of building the ICT systems required to react to the needs of people in real time as they move freely across physical, digital and social spaces. In this work, we briefly review the way in which new devices can be connected to the Web in pursuit of a fully interoperable 'Web of Everything' and summarize the way in which we have extended our cloud platform to seamlessly integrate things alongside people and systems. Once this is done we focus on explaining the way in which these technical foundations can enable the delivery of an innovative and human-centric scenario which transforms something as complex and technically diverse as the emergency response to a cycling accident. © 2015 IEEE.

关键词： internet of things

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Design and research of a distributed and scalable information platform for electric power sensing 9

Design and research of a distributed and scalable informatio...

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9th IEEE Joint international Information technology and Artificial Intelligence conference, ITAIC 2020

作者： Zeng, Pengfei Liang, Yun Tian, Wenfeng Sun, Xiaoyan Global Energy Interconnection Research Institute Co.Ltd. Beijing China Elec. Power Intelligent Sensing Technology and Application State Grid Corporation Joint Laboratory Beijing China

the development of power systems has called higher requirements for sensor information platforms, and sensor information platforms have become one key supporting technology for efficient and stable operation of power grids. this article first analyzes the current IoT reference architecture and the development trend of IoT platforms. then, a distributed sustainable integrated architecture sensor information platform is proposed to cater to the sensor requirements of the current power grid. Specifically, for the architecture, the distributed design and continuous integration design of the platform are introduced in detail. Finally, based on the designed architecture in this article, the practical work carried out by the information platform is introduced. this platform can be used for partial discharge detection of power equipment, providing edge intelligent computing support for the detection and analysis of radio frequency pulse signals. © 2020 IEEE.

关键词： internet of things

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New internet service pattern based on asset agent

New Internet service pattern based on asset agent

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international conference on Grid and Cloud computing

作者： Guo, Xiaobing Xu, Zhiwei Liu, Min Digital Live Laboratory Lenovo Research Lenovo Corporate Beijing 100085 China Institute of Computing Technology CAS Beijing 100190 China

ISBN: (纸本)9780769543130

Currently, major internet services are designed for consumer/personal usage and it tightly depends on service provider, which shows trends on monopolization. In this paper, we propose a new internet service model, PHCMM, based on systematic and thorough summary of contents' lifecycle. Equipped with PHCMM, we identify and analyze existing internet service patterns. Subsequently, we design a novel distributed service pattern based on asset agent (AASP), which can decrease the clients' dependency on specific ICP/ISP, and also break the increasing monopolization of provider in some areas. the new service pattern can also help to improve service efficiency and extendibility, and guarantee service with real "measurable, controllable and manageable". We have applied this pattern into storage-assets and implemented an SAA (Storage-Asset Agent) system. Based on this system, we have instantiated the current internet webmail service. Experiments show that SAA under Advanced AASP can significantly reduce the service workload on providers' side and completely eliminate the end users' dependency on specific service providers. © 2010 IEEE.

关键词： Web services

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