Content Distribution for Mobile Internet: A Cloud-based Approach

Content distribution, i.e., distributing digital content from one node to another node or multiple nodes, is the most fundamental function of the Internet. Since Amazon’s launch of EC2 in 2006 and Apple’s release of the iPhone in 2007, Internet content distribution has shown a strong trend toward po...

Mô tả đầy đủ

Đã lưu trong:
Chi tiết về thư mục
Những tác giả chính: Li, Zhenhua (Tác giả), Dai, Yafei (Tác giả), Chen, Guihai (Tác giả), Liu, Yunhao (Tác giả)
Tác giả của công ty: SpringerLink (Online service)
Định dạng: Điện tử eBook
Ngôn ngữ:Tiếng Anh
Được phát hành: Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Phiên bản:2nd ed. 2023.
Những chủ đề:
Truy cập trực tuyến:https://doi.org/10.1007/978-981-19-6982-9
Các nhãn: Thêm thẻ
Không có thẻ, Là người đầu tiên thẻ bản ghi này!

MARC

LEADER 00000nam a22000005i 4500
001 978-981-19-6982-9
003 DE-He213
005 20260810165746.0
007 cr nn 008mamaa
008 230214s2023 si | o |||| 0|eng d
020 |a 9789811969829  |9 978-981-19-6982-9 
024 7 |a 10.1007/978-981-19-6982-9  |2 doi 
050 4 |a TK5105.5-5105.9 
072 7 |a UKN  |2 bicssc 
072 7 |a COM043000  |2 bisacsh 
072 7 |a UKN  |2 thema 
082 0 4 |a 004.6  |2 23 
100 1 |a Li, Zhenhua.  |e author.  |0 (orcid)0000-0001-7286-122X  |1 https://orcid.org/0000-0001-7286-122X  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Content Distribution for Mobile Internet: A Cloud-based Approach  |h [electronic resource] /  |c by Zhenhua Li, Yafei Dai, Guihai Chen, Yunhao Liu. 
250 |a 2nd ed. 2023. 
264 1 |a Singapore :  |b Springer Nature Singapore :  |b Imprint: Springer,  |c 2023. 
300 |a 1 online resource (XVI, 252 p. 71 illus.).  |b 71 illus. in color. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
341 0 |b Table of contents navigation  |2 onix 
341 0 |b Single logical reading order  |2 onix 
341 0 |b Short alternative textual descriptions  |2 onix 
341 0 |b Use of color is not sole means of conveying information  |2 onix 
341 0 |b Use of high contrast between text and background color  |2 onix 
341 0 |b Next / Previous structural navigation  |2 onix 
341 0 |b All non-decorative content supports reading without sight  |2 onix 
347 |a text file  |b PDF  |2 rda 
505 0 |a Part I Get Started -- 1 Background and Overview -- Part II Bandwidth Is The First Concern -- 2 Fast and Light Bandwidth Testing for Mobile Internet -- 3 Offline Downloading via Cloud and/or Smart APs -- Part III Never Waste on Traffic Usage -- 4 Cross-App Cellular Traffic Optimization -- 5 Boosting Mobile Virtual Network Operator -- Part IV Stay Connected At All Times -- 6 Enhancing Nationwide Cellular Reliability -- 7 Heading Off Fake Base Stations at Scale -- Part V Do Not Relax Our Vigilance -- 8 Combating Nationwide WiFi Security Threats -- 9 Understanding IoT Security with HoneyCloud -- Part VI Last Thoughts -- 10 Concluding Remarks. 
520 |a Content distribution, i.e., distributing digital content from one node to another node or multiple nodes, is the most fundamental function of the Internet. Since Amazon’s launch of EC2 in 2006 and Apple’s release of the iPhone in 2007, Internet content distribution has shown a strong trend toward polarization. On the one hand, considerable investments have been made in creating heavyweight, integrated data centers (“heavy-cloud”) all over the world, in order to achieve economies of scale and high flexibility/efficiency of content distribution. On the other hand, end-user devices (“light-end”) have become increasingly lightweight, mobile and heterogeneous, creating new demands concerning traffic usage, energy consumption, bandwidth, latency, reliability, and/or the security of content distribution. Based on comprehensive real-world measurements at scale, we observe that existing content distribution techniques often perform poorly under the abovementioned new circumstances. Motivated by the trend of “heavy-cloud vs. light-end,” this book is dedicated to uncovering the root causes of today’s mobile networking problems and designing innovative cloud-based solutions to practically address such problems. Our work has produced not only academic papers published in prestigious conference proceedings like SIGCOMM, NSDI, MobiCom and MobiSys, but also concrete effects on industrial systems such as Xiaomi Mobile, MIUI OS, Tencent App Store, Baidu PhoneGuard, and WiFi.com. A series of practical takeaways and easy-to-follow testimonials are provided to researchers and practitioners working in mobile networking and cloud computing. In addition, we have released as much code and data used in our research as possible to benefit the community. 
532 8 |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. 
532 8 |a No reading system accessibility options actively disabled 
532 8 |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com 
588 |a Print version record. 
650 0 |a Computer networks . 
650 0 |a Mobile computing. 
650 0 |a Cloud Computing. 
650 0 |a Computer networks  |x Security measures. 
650 0 |a Electronic digital computers  |x Evaluation. 
650 0 |a Computer engineering. 
650 1 4 |a Computer Communication Networks. 
650 2 4 |a Mobile Computing. 
650 2 4 |a Cloud Computing. 
650 2 4 |a Mobile and Network Security. 
650 2 4 |a System Performance and Evaluation. 
650 2 4 |a Computer Engineering and Networks. 
700 1 |a Dai, Yafei.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Chen, Guihai.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Liu, Yunhao.  |e author.  |0 (orcid)0000-0001-8052-9200  |1 https://orcid.org/0000-0001-8052-9200  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789811969812 
776 0 8 |i Printed edition:  |z 9789811969836 
776 0 8 |i Printed edition:  |z 9789811969843 
856 4 0 |u https://doi.org/10.1007/978-981-19-6982-9 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)