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Titlebook: Advances on P2P, Parallel, Grid, Cloud and Internet Computing; Proceedings of the 1 Fatos Xhafa,Fang-Yie Leu,Chao-Tung Yang Conference proc

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發(fā)表于 2025-3-21 19:56:36 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱(chēng)Advances on P2P, Parallel, Grid, Cloud and Internet Computing
期刊簡(jiǎn)稱(chēng)Proceedings of the 1
影響因子2023Fatos Xhafa,Fang-Yie Leu,Chao-Tung Yang
視頻videohttp://file.papertrans.cn/151/150314/150314.mp4
發(fā)行地址Presents the proceedings of the 13th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, held on October 27–29, 2018 in Taichung, Taiwan.Includes recent research on P2P, par
學(xué)科分類(lèi)Lecture Notes on Data Engineering and Communications Technologies
圖書(shū)封面Titlebook: Advances on P2P, Parallel, Grid, Cloud and Internet Computing; Proceedings of the 1 Fatos Xhafa,Fang-Yie Leu,Chao-Tung Yang Conference proc
影響因子.This book presents the latest research findings, as well as innovative theoretical and practical research results, methods and development techniques related to P2P, grid, cloud and Internet computing. It also reveals the synergies among such large scale computing paradigms.?.P2P, Grid, Cloud and Internet computing technologies have rapidly become established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale...Grid computing. originated as a paradigm for high-performance computing, offering an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P .computing. emerged as a new paradigm following on from client-server and web-based computing and has proved useful in the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), and B2E (Business to Employee). .Cloud computing. has been described as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits”. Cloud computing has fast become t
Pindex Conference proceedings 2019
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書(shū)目名稱(chēng)Advances on P2P, Parallel, Grid, Cloud and Internet Computing影響因子(影響力)




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書(shū)目名稱(chēng)Advances on P2P, Parallel, Grid, Cloud and Internet Computing網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Advances on P2P, Parallel, Grid, Cloud and Internet Computing被引頻次




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Fault-Tolerant Fog Computing Models in the IoTIoT is realized by the fog computing model. Here, data and processes to handle the data are distributed to not only servers but also fog nodes. In our previous studies, the tree-based fog computing (TBFC) model is proposed to reduce the total electric energy consumption. However, if a fog node is fa
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Semi-synchronocity Enabling Protocol and Pulsed Injection Protocol For A Distributed Ledger Systemred due to transaction processing and verification. For efficient systems, high latency should be avoided for the governance of the ledger. To help reduce latency, we offer a distributed ledger architecture, Tango, that mimics the Iota-tangle design as articulated by Popov?[.] in his seminal paper.
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Texture Estimation System of Snacks Using Neural Network Considering Sound and Loadamine various foods. The system consists of an original equipment and a simple neural network model. The equipment examines the food by compressing it and observing load and sound simultaneously. The input of the neural network model is parameters expressing characteristics of the load change and th
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Parameterized Pulsed Transaction Injection Computation Model And Performance Optimizer For IOTA-Tang goal, dynamically and efficiently injecting the unverified transactions to enable synchronicity based on the current system configuration and the traffic of the network is crucial. To meet this need, we design the pulsed transaction injection parameterization (PTIP) protocol to provide a preliminar
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On Construction of a Caffe Deep Learning Framework based on Intel Xeon Phifinancial market analysis, medical technology and so on. The need for more intelligent data increases significantly. Deep Learning as a framework that able to understand the abstract information such as images, text, and sound has a challenging area in recent research works. This phenomenon makes th
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A Brief History of Self-destructing Data: From 2005 to 2017leakage, such as the PRISM and Instagram fappening, big data still maintain its leading position among the internet buzzwords. This paper strives to review and summarize the research process of self-destructing data in the past decade. Comparisons between landmark methods and systems have also been
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