In the past few years, service providers have observed a pronounced increase in traffic associated with gaming downloads. Newer consoles such as the Xbox One and PlayStation 4 have sufficient onboard storage to enable gamers to download new games rather than buy them on disc. These graphically intense games are large files, and gaming traffic will reach 4 percent of all IP traffic by 2022. Furthermore, these downloads tend to occur during peak usage periods, with gaming downloads reaching up to 8 percent of busy hour traffic. We expect the growth of gaming traffic to continue, and gaming is one of the forms of traffic that will limit the likelihood that video traffic will exceed the projected 82 percent by 2022.
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Speed is a critical factor in Internet traffic. When speed increases, users stream and download greater volumes of content, and adaptive bit-rate streaming increases bit rates automatically according to available bandwidth. Service providers find that users with greater bandwidth generate more traffic. By 2022, households with high-speed fiber connectivity will generate 23 percent more traffic than households connected by DSL or cable broadband, globally (Figure 26). The average FTTH household generated 86 GB per month in 2017 and will generate 264 GB per month by 2022.
The rapid growth of mobile data traffic has been widely recognized and reported. The trend toward mobility carries over into the realm of fixed networks as well, in that an increasing portion of traffic will originate from portable or mobile devices. Figure 21 shows the growth in Wi-Fi and mobile traffic in relation to traffic from wired devices. By 2022, wired networks will account for 29 percent of IP traffic, and Wi-Fi and mobile networks will account for 71 percent of IP traffic. In 2017, wired networks accounted for 48 percent of IP traffic; Wi-Fi accounted for 43 percent; and mobile or cellular networks accounted for 9 percent of total global IP traffic.

Traffic classification is a major component of automated intrusion detection systems.[12][13][14] They are used to identify patterns as well as indication of network resources for priority customers, or identify customer use of network resources that in some way contravenes the operator’s terms of service. Generally deployed Internet Protocol (IP) traffic classification techniques are based approximately on direct inspection of each packet’s contents at some point on the network. Source address, port and destination address are included in successive IP packet's with similar if not the same 5-tuple of protocol type. ort are considered to belong to a flow whose controlling application we wish to determine. Simple classification infers the controlling application’s identity by assuming that most applications consistently use well known TCP or UDP port numbers. Even though, many candidates are increasingly using unpredictable port numbers. As a result, more sophisticated classification techniques infer application type by looking for application-specific data within the TCP or User Datagram Protocol (UDP) payloads.[15]

The forecast for Internet video begins with estimations of the number of consumer fixed Internet users. Even such a basic measure as consumer fixed Internet users can be difficult to assess, because few analyst firms segment the number of users by both segment (consumer versus business) and network (mobile versus fixed). The number of consumer fixed Internet users was not taken directly from an analyst source but was estimated from analyst forecasts for consumer broadband connections, data on hotspot users from a variety of government sources, and population forecasts by age segment. The number of Internet video users was collected and estimated from a variety of sources, and the numbers were then reconciled with the estimate of overall Internet users.
Akamai secures and delivers digital experiences for the world’s largest companies. Akamai’s intelligent edge platform surrounds everything, from the enterprise to the cloud, so customers and their businesses can be fast, smart, and secure. Top brands globally rely on Akamai to help them realize competitive advantage through agile solutions that extend the power of their multi-cloud architectures. Akamai keeps decisions, apps, and experiences closer to users than anyone — and attacks and threats far away. Akamai’s portfolio of edge security, web and mobile performance, enterprise access, and video delivery solutions is supported by unmatched customer service, analytics, and 24/7/365 monitoring. To learn why the world’s top brands trust Akamai, visit www.akamai.com, blogs.akamai.com, or @Akamai on Twitter. You can find our global contact information at www.akamai.com/locations.
Connected home applications, such as home automation, home security and video surveillance, connected white goods, and tracking applications, will represent 48 percent, or nearly half, of the total M2M connections by 2022, showing the pervasiveness of M2M in our lives (Figure 11). Connected car, with applications such as fleet management, in-vehicle entertainment and Internet access, roadside assistance, vehicle diagnostics, navigation, and autonomous driving, will be the fastest-growing industry segment, at a 28 percent CAGR. Connected cities applications will have the second-fastest growth, at an 26 percent CAGR each.
Affiliate marketing is commonly confused with referral marketing, as both forms of marketing use third parties to drive sales to the retailer. The two forms of marketing are differentiated, however, in how they drive sales, where affiliate marketing relies purely on financial motivations, while referral marketing relies more on trust and personal relationships.[citation needed]
If the above locations do not yield information pertaining to affiliates, it may be the case that there exists a non-public affiliate program. Utilizing one of the common website correlation methods may provide clues about the affiliate network. The most definitive method for finding this information is to contact the website owner directly if a contact method can be located.
The forecast for Internet video begins with estimations of the number of consumer fixed Internet users. Even such a basic measure as consumer fixed Internet users can be difficult to assess, because few analyst firms segment the number of users by both segment (consumer versus business) and network (mobile versus fixed). The number of consumer fixed Internet users was not taken directly from an analyst source but was estimated from analyst forecasts for consumer broadband connections, data on hotspot users from a variety of government sources, and population forecasts by age segment. The number of Internet video users was collected and estimated from a variety of sources, and the numbers were then reconciled with the estimate of overall Internet users.
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.
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