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Improving Performance on the Internet

Tom Leighton
2008 Queue  
In many cases today, we see that the limiting bottleneck is the middle mile, or the time data spends traveling back and forth across the Internet, between origin server and end user.  ...  the Internet infrastructure to keep pace. 5 ven the Internet's bottlenecks, how can we build fast, scalable content-delivery systems?  ...  Although this may seem obvious and simple in theory, it can be challenging in practice.  ... 
doi:10.1145/1466443.1466449 fatcat:bj7or2mdofhxnby7revy7sa3xa

Federated Learning for Internet of Things: A Comprehensive Survey

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 IEEE Communications Surveys and Tutorials  
We complete this survey by highlighting the current challenges and possible directions for future research in this booming area.  ...  Traditionally, AI techniques require centralized data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing  ...  devices and the high data distribution of large-scale IoT networks.  ... 
doi:10.1109/comst.2021.3075439 fatcat:ycq2zydqrzhibfqyo4vzloeoqy

Federated Learning for Internet of Things: A Comprehensive Survey [article]

Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, Aruna Seneviratne, Jun Li, H. Vincent Poor
2021 arXiv   pre-print
We complete this survey by highlighting the current challenges and possible directions for future research in this booming area.  ...  Traditionally, AI techniques require centralized data collection and processing that may not be feasible in realistic application scenarios due to the high scalability of modern IoT networks and growing  ...  devices and the high data distribution of large-scale IoT networks.  ... 
arXiv:2104.07914v1 fatcat:b5wsrfcbynel7jqdxpfw4ftwh4

Global Diffusion of the Internet IV: The Internet in Ghana

William Foster, Eric Osiakwan
2004 Communications of the Association for Information Systems  
During the Internet boom years, 1998-2000, the ISP and Internet Café industries in Ghana grew rapidly.  ...  To reinvigorate Internet diffusion, we suggest that the Ghanaian government should allow some ISPs to operate in the rural VoIP and cellular markets on the condition that they invest their profits and  ...  Mike Best of MIT and Dr. Wes Shrum of Louisiana State University for their helpful comments on the draft of this manuscript. All omissions and errors are the responsibility of the authors.  ... 
doi:10.17705/1cais.01338 fatcat:pcalfb65jvdkzirknlp2py5cxy

WearableDL: Wearable Internet-of-Things and Deep Learning for Big Data Analytics—Concept, Literature, and Future

Aras R. Dargazany, Paolo Stegagno, Kunal Mankodiya
2018 Mobile Information Systems  
features) in an end-to-end fashion; and (3) offer accuracy or precision in learning raw unlabeled/labeled (unsupervised/supervised) data.  ...  of CNS connected to the brain) represents Internet-of-things for fog computing and big data flow/transfer. (3) Peripheral sensory and motor nerves (components of the peripheral nervous system (PNS)) represent  ...  In 2012, Google brain project (as a "large scale distributed deep networks") led by Geoff Dean and Andrew NG [48] , was applying DBN using massive data from Youtube videos on cats and 16,000 computers  ... 
doi:10.1155/2018/8125126 fatcat:ty3a7n4in5aahbqyl7wum5vonq

Usage of Skin Tumor Images on the Internet for Personal Computer Based Automated Cognition

Soh Nishimoto, Yohei Sotsuka, Kenichiro Kawai, Hisako Ishise, Masao Kakibuchi
2017 Journal of Dermatology Research and Therapy  
One of the bottlenecks in building an efficient cognition system is providing adequate amount of data to base on. The internet may be a mine of the data.  ...  Unsupervised data clustering: k-means clustering, principal component analysis and t-distributed stochastic neighbor embedding could not cluster them in human comprehensible fashion.  ...  It was one of the competitors for ImageNet Large Scale Visual Recognition Challenge (ILSVRC) [29] . The model and trained weights for 1000 clinical images with 2,032 diseases.  ... 
doi:10.23937/2469-5750/1510051 fatcat:mzgot5b6ebhljgy5ocux2pikv4

An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks

Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Martina
2020 Future Internet  
In this paper, the reader will first understand what a hardware accelerator is, and what are its main components, followed by the latest techniques in the field of dataflow, reconfigurability, variable  ...  Deep Neural Networks (DNNs) are nowadays a common practice in most of the Artificial Intelligence (AI) applications.  ...  Introduction In the era of Big Data and Internet-of-Things (IoT), Artificial Intelligence (AI) has found an ideal environment and a continuous stream of data from which to learn and thrive.  ... 
doi:10.3390/fi12070113 fatcat:heyq4l3rkrdc5p55xdbhsh4jxu

Innovation and Development Strategy of Logistics Service based on Internet of Things and RFID Automatic Technology

Jiafei Geng, Zhanglei He
2016 International Journal of Future Generation Communication and Networking  
In this paper, the author research on the innovation and development strategy of logistics service under the internet of things.  ...  Internet of things is a major change in the development of science and technology; it combines the virtual information with the physical world, so that economic activity and social activities are more  ...  Acknowledgments The work of this paper is supported by 2015 key research projects of provincial education in Anhui province: Research and construction of innovation oriented logistics Research on the path  ... 
doi:10.14257/ijfgcn.2016.9.12.23 fatcat:tcrun4kebbbkrco6ky2f6eeh7y

Multi-channel Blockchain Scheme for Internet of Vehicles

Liming Gao, Celimuge Wu, Tsutomu Yoshinaga, Xianfu Chen, Yusheng Ji
2021 IEEE Open Journal of the Computer Society  
With the development of advanced information and communication technology, the traditional centralized service model alone no longer meets the increasing demand of data exchange in intelligent transportation  ...  While Internet of Vehicles (IoV) technology has been introduced to achieve more advanced ITS, there are still some unsettled issues such as flexibility and fault tolerance.  ...  The ITS aims to provide large-scale and allaround services to traffic management using the data collected from various devices including smart vehicles, infrastructures, and pedestrians.  ... 
doi:10.1109/ojcs.2021.3070714 fatcat:rxxdksqm7rgyfngsm4i5ultbbe

Data Service Outsourcing and Privacy Protection in Mobile Internet [chapter]

Zhen Qin, Erqiang Zhou, Yi Ding, Yang Zhao, Fuhu Deng, Hu Xiong
2018 Data Service Outsourcing and Privacy Protection in Mobile Internet  
Preface The data of mobile Internet have the characteristics of large scale, variety of patterns, complex association and so on.  ...  control through effective user privacy protection mechanism, and the data sharing in the mobile Internet, which provide technical support for improving various service applications based on mobile Internet  ...  But the data on the mobile Internet have four features: large scale, complicated modules, diversified data format, and incongruous data sources.  ... 
doi:10.5772/intechopen.79903 fatcat:kvdisoudirgdhd7tvscnhsb6gm

Semantic Communications for 6G Future Internet: Fundamentals, Applications, and Challenges [article]

Wanting Yang, Hongyang Du, Ziqin Liew, Wei Yang Bryan Lim, Zehui Xiong, Dusit Niyato, Xuefen Chi, Xuemin Sherman Shen, Chunyan Miao
2022 arXiv   pre-print
Semantic communication (SemCom), a revolutionary architecture that integrates user as well as application requirements and meaning of information into the data processing and transmission, is predicted  ...  In a nutshell, this paper investigates the fundamentals of SemCom, its applications in 6G networks, and the existing challenges and open issues for further direction.  ...  Therefore, the consistency of user experience in CFN can facilitate the large-scale deployment of SemCom by mitigating the effects of imbalance in the distribution of computing resources.  ... 
arXiv:2207.00427v1 fatcat:uju2oufi25d7jdyh7zynjvbsii

A Survey on Deep Convolutional Neural Networks for Image Steganography and Steganalysis

2020 KSII Transactions on Internet and Information Systems  
In this paper, we analyzed current research states from the latest image steganography and steganalysis frameworks based on deep learning.  ...  Our objective is to provide for future researchers the work being done on deep learning-based image steganography & steganalysis and highlights the strengths and weakness of existing up-to-date techniques  ...  Bottleneck layers and shared features in WISER-Net [46] Steganalysis framework for JPEG color images. Introduce channel-wise convolution in their network. Obtained superior performance.  ... 
doi:10.3837/tiis.2020.03.017 fatcat:7ci7bfbjsfd2nn5yagnv2h3ora

The Layers Principle: Internet Architecture and the Law

Lawrence B. Solum, Minn Chung
2003 Social Science Research Network  
By making incremental decisions, we can focus on the mar- 114 Incrementalism can be used in another sense to distinguish small-scale changes from large-scale changes.  ...  Common law time and Internet time are measured on scales that vary by orders of magnitude.  ...  , as any type of data can cause network [VOL. 79:3 the Internet networking context.  ... 
doi:10.2139/ssrn.416263 fatcat:pskwxoakgjhpndmchtfyhqvlxm

Global Diffusion of the Internet - I: India: Is the Elephant Learning to Dance?

Peter Wolcott, Seymour E. Goodman
2003 Communications of the Association for Information Systems  
However, time is an ally; the basic elements for continued growth of the Internet are largely in place.  ...  The Indian experience provides an example of how fundamental, focused changes in policy and legislation can unleash forces that accelerate Internet diffusion.  ...  collection of data and information used in this study.  ... 
doi:10.17705/1cais.01132 fatcat:bchq7u6ewbdalmhyd5marhjhnu

Computing at Massive Scale: Scalability and Dependability Challenges

Renyu Yang, Jie Xu
2016 2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)  
Large-scale Cloud systems and big data analytics frameworks are now widely used for practical services and applications.  ...  We first introduce a data-driven analysis methodology for characterizing the resource and workload patterns and tracing performance bottlenecks in a massive-scale distributed computing environment.  ...  We would also like to extend our sincere thanks to the entire SIGRS group from Beihang University, DSS group from University of Leeds, and the Fuxi Distributed resource scheduling team in Alibaba Cloud  ... 
doi:10.1109/sose.2016.73 dblp:conf/sose/YangX16 fatcat:bsbdpnfzpnf5jbl2d3hobd7adu
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