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Improving Performance on the Internet
2008
Queue
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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
2021
IEEE Communications Surveys and Tutorials
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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]
2021
arXiv
pre-print
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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
2004
Communications of the Association for Information Systems
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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
2018
Mobile Information Systems
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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
2017
Journal of Dermatology Research and Therapy
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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
2020
Future Internet
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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
2016
International Journal of Future Generation Communication and Networking
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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
2021
IEEE Open Journal of the Computer Society
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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]
2018
Data Service Outsourcing and Privacy Protection in Mobile Internet
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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]
2022
arXiv
pre-print
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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
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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
2003
Social Science Research Network
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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?
2003
Communications of the Association for Information Systems
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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
2016
2016 IEEE Symposium on Service-Oriented System Engineering (SOSE)
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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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