As the topology of the Internet is not hierarchical, no single point of measurement is possible for total Internet traffic. Traffic data may be obtained from peering points of the Tier 1 network providers for indications of volume and growth. Such data, however, excludes traffic that remains within a single service provider's network as well as traffic that crosses private peering points.
A planned tax on Internet use in Hungary introduced a 150-forint (US$0.62, €0.47) tax per gigabyte of data traffic, in a move intended to reduce Internet traffic and also assist companies to offset corporate income tax against the new levy.[5] Hungary achieved 1.15 billion gigabytes in 2013 and another 18 million gigabytes accumulated by mobile devices. This would have resulted in extra revenue of 175 billion forints under the new tax based on the consultancy firm eNet.[5]

There are shifts within Internet video traffic itself as well (Figure 14). In particular, live Internet video has the potential to drive large amounts of traffic as it replaces traditional broadcast viewing hours. Live video already accounts for 5 percent of Internet video traffic and will grow 15-fold to reach 17 percent by 2022. Also, of note is the growth of video surveillance traffic (dropcams). This traffic is of a very different nature than live or on-demand streaming and represents a steady stream of upstream video camera traffic, uploaded continuously from homes and small businesses to the cloud.


The concept of affiliate marketing on the Internet was conceived of, put into practice and patented by William J. Tobin, the founder of PC Flowers & Gifts. Launched on the Prodigy Network in 1989, PC Flowers & Gifts remained on the service until 1996. By 1993, PC Flowers & Gifts generated sales in excess of $6 million per year on the Prodigy service. In 1998, PC Flowers and Gifts developed the business model of paying a commission on sales to the Prodigy Network.[8][9]
Accurate network traffic classification is elementary to quite a few Internet activities, from security monitoring to accounting and from quality of service to providing operators with useful forecasts for long-term provisioning. Yet, classification schemes are extremely complex to operate accurately due to the shortage of available knowledge to the network. For example, the packet header related information is always insufficient to allow for an precise methodology. Consequently, the accuracy of any traditional method are between 50%-70%.

After MOU have been estimated for each sub segment of video, the next step is to apply kilobytes (KB) per minute. To calculate KB per minute, first the regional and country average broadband speeds are estimated for the years 2017 through 2022. For each application category, a representative bit rate is established, and this representative bit rate grows at approximately the same pace as the broadband speed. For video categories, a 7 percent annual compression gain is applied to the bit rate. Local bit rates are then calculated based on how much the average broadband speed in the country differs from the global average, the digital screen size in the country, and the computing power of the average device in the country. Combining these factors yields bit rates that are then applied to the MOU.


Internet of Things (IoT) is no longer a phenomenon, but it has become a prevalent system in which people, processes, data, and things connect to the Internet and each other. Globally, M2M connections will grow 2.4-fold, from 6.1 billion in 2017 to 14.6 billion by 2022 (Figure 10). There will be 1.8 M2M connections for each member of the global population by 2022.
Affiliates were among the earliest adopters of pay per click advertising when the first pay-per-click search engines emerged during the end of the 1990s. Later in 2000 Google launched its pay per click service, Google AdWords, which is responsible for the widespread use and acceptance of pay per click as an advertising channel. An increasing number of merchants engaged in pay per click advertising, either directly or via a search marketing agency, and realized that this space was already occupied by their affiliates. Although this situation alone created advertising channel conflicts and debates between advertisers and affiliates, the largest issue concerned affiliates bidding on advertisers names, brands, and trademarks.[39] Several advertisers began to adjust their affiliate program terms to prohibit their affiliates from bidding on those type of keywords. Some advertisers, however, did and still do embrace this behavior, going so far as to allow, or even encourage, affiliates to bid on any term, including the advertiser's trademarks.
The changing mix of devices and connections and growth in multidevice ownership affects traffic and can be seen in the changing device contribution to total IP traffic. At the end of 2017, 59 percent of IP traffic and 51 percent of Internet traffic originated from non-PC devices. By 2022, 81 percent of IP traffic and Internet traffic will originate from non-PC devices (Figure 4).
Also, of note in the recent forecast is the growing number of countries whose fixed traffic growth rivals that of their mobile traffic growth. United States is the outlier, with a fixed growth of 26 percent in 2017 and a mobile growth of 23 percent over the same time period. Japan, Korea, Canada, Germany and Sweden, all have fixed growth that is only slightly lower than their mobile growth. The majority of countries still have significantly higher growth rates for mobile than for fixed.
Forms of new media have also diversified how companies, brands, and ad networks serve ads to visitors. For instance, YouTube allows video-makers to embed advertisements through Google's affiliate network.[22][23] New developments have made it more difficult for unscrupulous affiliates to make money. Emerging black sheep are detected and made known to the affiliate marketing community with much greater speed and efficiency.[citation needed]

Two-tier programs exist in the minority of affiliate programs; most are simply one-tier. Referral programs beyond two-tier resemble multi-level marketing (MLM) or network marketing but are different: Multi-level marketing (MLM) or network marketing associations tend to have more complex commission requirements/qualifications than standard affiliate programs.[citation needed]
●   Content providers and distributors could adopt P2P as a distribution mechanism. There has been a strong case for P2P as a low-cost Content-Delivery System (CDS) for many years, yet most content providers and distributors have opted for direct distribution, with the exception of applications such as PPStream and PPLive in China, which offer live video streaming through P2P and have had great success. If content providers in other regions follow suit, traffic could rapidly become highly symmetric.
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Total Internet traffic has experienced dramatic growth in the past two decades. More than 20 years ago, in 1992, global Internet networks carried approximately 100 GB of traffic per day. Ten years later, in 2002, global Internet traffic amounted to 100 Gigabytes per second (GB/second). In 2017, global Internet traffic reached more than 45,000 GB/second. Table 1 provides a view of the historical benchmarks for total Internet traffic.

Seek a payday loan or title loan as a last resort. Companies that offer payday and title loan services offer high interest rates (sometimes with percentages in the hundreds). If you cannot pay the loan and any interest back within the stated timeline, you risk even higher interest costs or, in the case of a title loan, the loss of your car. Avoid these types of loans in all but the direst circumstances, unless you are certain you will be able to pay the loan back.
Traffic classification describes the methods of classifying traffic by observing features passively in the traffic, and in line to particular classification goals. There might be some that only have a vulgar classification goal. For example, whether it is bulk transfer, peer to peer file sharing or transaction-orientated. Some others will set a finer-grained classification goal, for instance the exact number of application represented by the traffic. Traffic features included port number, application payload, temporal, packet size and the characteristic of the traffic. There are a vast range of methods to allocate Internet traffic including exact traffic, for instance port (computer networking) number, payload, heuristic or statistical machine learning.[8]
●   Virtual reality and augmented reality: With new hardware available to individuals, and a growing body of content to consume, VR and AR are expected to continue a high growth trajectory through this forecast period (2017 – 2022). Traffic associated with virtual and augmented reality applications is poised to grow 12-fold over the next five years (65 percent CAGR). This growth stems mainly from the download of large virtual reality content files and applications, but a significant wild card is the potential adoption of virtual reality streaming, which could raise our prediction of high-growth even higher.
Work[9] involving supervised machine learning to classify network traffic. Data are hand-classified (based upon flow content) to one of a number of categories. A combination of data set (hand-assigned) category and descriptions of the classified flows (such as flow length, port numbers, time between consecutive flows) are used to train the classifier. To give a better insight of the technique itself, initial assumptions are made as well as applying two other techniques in reality. One is to improve the quality and separation of the input of information leading to an increase in accuracy of the Naive Bayes classifier technique.
The basis of categorizing work is to classify the type of Internet traffic; this is done by putting common groups of applications into different categories, e.g., "normal" versus "malicious", or more complex definitions, e.g., the identification of specific applications or specific Transmission Control Protocol (TCP) implementations.[10] Adapted from Logg et al.[11]
Since the emergence of affiliate marketing, there has been little control over affiliate activity. Unscrupulous affiliates have used spam, false advertising, forced clicks (to get tracking cookies set on users' computers), adware, and other methods to drive traffic to their sponsors. Although many affiliate programs have terms of service that contain rules against spam, this marketing method has historically proven to attract abuse from spammers.
●   5G roll-outs provide mobility innovation and new levels of fixed/mobile convergence. By 2022, 22 percent of global Internet traffic will come from mobile (cellular) networks (up from 12 percent in 2017). By 2022, about 3 percent of global mobile devices/connections will be 5G-capable (and nearly 12 percent of global mobile traffic will come from 5G). As expected, mobile carriers from around the world are beginning to introduce trial 5G networks (see 5G Availability Around the World from Lifewire). Many industry experts believe that large-scale 5G deployments will begin to take shape in 2020, when mobile spectrum, standards, profitable business plans and other operational issues are more fully fleshed out.

The basis of categorizing work is to classify the type of Internet traffic; this is done by putting common groups of applications into different categories, e.g., "normal" versus "malicious", or more complex definitions, e.g., the identification of specific applications or specific Transmission Control Protocol (TCP) implementations.[10] Adapted from Logg et al.[11]
In 2006, the most active sectors for affiliate marketing were the adult gambling, retail industries and file-sharing services.[21]:149–150 The three sectors expected to experience the greatest growth are the mobile phone, finance, and travel sectors.[21] Soon after these sectors came the entertainment (particularly gaming) and Internet-related services (particularly broadband) sectors. Also several of the affiliate solution providers expect to see increased interest from business-to-business marketers and advertisers in using affiliate marketing as part of their mix.[21]:149–150
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