Net Neutrality as Global Principle for Internet Governance

This paper discusses the concept of network neutrality (NN) and explores its relevance to global Internet governance. The paper identifies three distinct ways in which the concept of network neutrality might attain a status as a globally applicable principle for Internet governance. The paper concludes that the concept of a "neutral" Internet has global applicability in a variety of contexts relevant to Internet governance

The Future of the Internet III

Presents survey results on technology experts' predictions on the Internet's social, political, and economic impact as of 2020, including its effects on integrity and tolerance, intellectual property law, and the division between personal and work lives

Performance Comparison of a Hadoop DFS to a Centralized File System of a Single Machine

With the coming of a big data era, Hadoop, developed by Doug Cutting and Mike Cafarella, was presented in 2005 [1], which turned over a new page in the history of cloud computing. The Hadoop Distributed File System (HDFS) is one of the most fundamental layers in Hadoop. In the big data world, the performance of dealing with big data from HDFS cannot satisfy the need because the amount of big data is getting larger and larger, and simultaneously, the increasing rate of growth of big data is faster and faster. Nowadays various new distributed file systems (DFS) are published attempting to solve this issue. The core problem hindering the performance from becoming more effective is the metadata service layer in HDFS, and most of the new DFSs are focusing on improving the metadata service as well. Most of the above-mentioned cases are centering on the issue of solving the big data problem. However, for a small or medium-sized company, the data they may use is not so big. In this case, do they need to build a distributed system to deal with their data? Of course, the data in these companies will be getting larger and larger. When will be the best time for them to need a distributed system to manage their data? This paper attempts to address this problem by comparing the different performances between a distributed system computation and a serial computation

Performance Comparison of a Hadoop DFS to a Centralized File System of a Single Machine

With the coming of a big data era, Hadoop, developed by Doug Cutting and Mike Cafarella, was presented in 2005 [1], which turned over a new page in the history of cloud computing. The Hadoop Distributed File System (HDFS) is one of the most fundamental layers in Hadoop. In the big data world, the performance of dealing with big data from HDFS cannot satisfy the need because the amount of big data is getting larger and larger, and simultaneously, the increasing rate of growth of big data is faster and faster. Nowadays various new distributed file systems (DFS) are published attempting to solve this issue. The core problem hindering the performance from becoming more effective is the metadata service layer in HDFS, and most of the new DFSs are focusing on improving the metadata service as well. Most of the above-mentioned cases are centering on the issue of solving the big data problem. However, for a small or medium-sized company, the data they may use is not so big. In this case, do they need to build a distributed system to deal with their data? Of course, the data in these companies will be getting larger and larger. When will be the best time for them to need a distributed system to manage their data? This paper attempts to address this problem by comparing the different performances between a distributed system computation and a serial computation

Untangling the Web: A Guide To Internet Research

[Excerpt] Untangling the Web for 2007 is the twelfth edition of a book that started as a small handout. After more than a decade of researching, reading about, using, and trying to understand the Internet, I have come to accept that it is indeed a Sisyphean task. Sometimes I feel that all I can do is to push the rock up to the top of that virtual hill, then stand back and watch as it rolls down again. The Internet—in all its glory of information and misinformation—is for all practical purposes limitless, which of course means we can never know it all, see it all, understand it all, or even imagine all it is and will be. The more we know about the Internet, the more acute is our awareness of what we do not know. The Internet emphasizes the depth of our ignorance because our knowledge can only be finite, while our ignorance must necessarily be infinite. My hope is that Untangling the Web will add to our knowledge of the Internet and the world while recognizing that the rock will always roll back down the hill at the end of the day

ACUTA Journal of Telecommunications in Higher Education

In This Issue lT Market Clock for Enterprise Networking lnfrastructure, 2010 Emerging Technology Trends-Finding the Next Big Thing Money and Mobile Access Challenge Community Colleges A Business Perspective on Hosted Communications FMC: Ready to Fly or Flop? Challenges Facing Broadband Wireless Providers Deploying IEEE 802.11n Data and Security Networks Campuswide While Optimizing Energy Efficiency Interview President\u27s Message. From the Executive Director O&A from the CI

ACUTA Journal of Telecommunications in Higher Education

In This Issue lT Market Clock for Enterprise Networking lnfrastructure, 2010 Emerging Technology Trends-Finding the Next Big Thing Money and Mobile Access Challenge Community Colleges A Business Perspective on Hosted Communications FMC: Ready to Fly or Flop? Challenges Facing Broadband Wireless Providers Deploying IEEE 802.11n Data and Security Networks Campuswide While Optimizing Energy Efficiency Interview President\u27s Message. From the Executive Director O&A from the CI

INTEGRATION OF INTERNET OF THINGS AND HEALTH RECOMMENDER SYSTEMS

The Internet of Things (IoT) has become a part of our lives and has provided many enhancements to day-to-day living. In this project, IoT in healthcare is reviewed. IoT-based healthcare is utilized in remote health monitoring, observing chronic diseases, individual fitness programs, helping the elderly, and many other healthcare fields. There are three main architectures of smart IoT healthcare: Three-Layer Architecture, Service-Oriented Based Architecture (SoA), and The Middleware-Based IoT Architecture. Depending on the required services, different IoT architecture are being used. In addition, IoT healthcare services, IoT healthcare service enablers, IoT healthcare applications, and IoT healthcare services focusing on Smartwatch are presented in this research. Along with IoT in smart healthcare, Health Recommender Systems integration with IoT is important. Main Recommender Systems including Content-based filtering, Collaborative-based filtering, Knowledge-based filtering, and Hybrid filtering with machine learning algorithms are described for the Health Recommender Systems. In this study, a framework is presented for the IoT-based Health Recommender Systems. Also, a case is investigated on how different algorithms can be used for Recommender Systems and their accuracy levels are presented. Such a framework can help with the health issues, for example, risk of going to see the doctor during pandemic, taking quick actions in any health emergencies, affordability of healthcare services, and enhancing the personal lifestyle using recommendations in non-critical conditions. The proposed framework can necessitate further development of IoT-based Health Recommender Systems so that people can mitigate their medical emergencies and live a healthy life

2020 media futures trends package

2020 Media Futures is a mul6-­‐industry strategic foresight project designed to understand and envision what media may look like in the year 2020; what kind of cross-­‐plaAorm Internet environment may shape our media and entertainment in the coming decade; and how Ontario firms take ac6on today toward capturing and maintaining posi6ons of na6onal and interna6onal leadership. The project asks: In the face of sweeping and disrupDve changes driven by the Internet, how can we help companies in the book, film, interacDve, magazine, music and television industries – Ontario’s CreaDve and Entertainment Cluster – to beNer idenDfy emerging opportuniDes, create more resilient strategic plans and partnerships, boost innovaDon, and compete in increasingly demanding global markets? This document is a product of our ‘horizon scanning’ process. Trends and Countertrends represent direcDonal paNerns in data, a rising Dde of signals, in which, for example, a criDcal mass of headlines about people using Facebook to call for help in emergency situaDons points to a larger trend regarding the increasing mission-­‐criDcal importance of social networks. To date we have idenDfied more than sixty trends at the project website: hNp://2020mediafutures.ca/Trend