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【精品】六年级计算题练习大全
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【精品】六年级计算题练习大全.DOC
官方公共微信简便算法计算 求求大家了,好人一生平安101×7分之1-7分之1 46分之5×47 6分之1×26×6×13分之3（4分之1+5分之1）×4×5_百度作业帮
拍照搜题，秒出答案
简便算法计算 求求大家了,好人一生平安101×7分之1-7分之1 46分之5×47 6分之1×26×6×13分之3（4分之1+5分之1）×4×5
简便算法计算 求求大家了,好人一生平安101×7分之1-7分之1 46分之5×47 6分之1×26×6×13分之3（4分之1+5分之1）×4×5
101×7分之1-7分之1
简便算法要过程 46分之5×47
简便算法要过程
6分之1×26×6×13分之3（4分之1+5分之1）×4×5
简便算法要过程101×1/7-1/7=（101-1）X1/7=100X1/7=100/7=14又2/7 5/46×47=5/46×（46+1）=5/46×46+5/46×1=5+5/46=5又5/46 1/6×26×6×3/13=（1/6X6）X（26X3/13）=1X6=6 （4分之1+5分之1）×4×5=1/4X4X5+1/5X4X5=5+4=9当前位置：
＞＞＞用简便方法计算下面各题．①284+378+122+216②125×5×7×8③82×99④44×2..
用简便方法计算下面各题．
①284+378+122+216
②125×5×7×8
④44×27+27×55+27
⑤960÷6÷16
⑥1352-（352+365）
⑦14.25+7.3+5.75+2.7　　&&&&&&&&&
⑧18.23-6.35-2.65
⑨16.78-2.54+3.22-1.46　&&&&&&&&
⑩26.54-（5.23+6.54）
题型：解答题难度：中档来源：不详
①284+378+122+216=（284+216）+（378+122）=500+500=1000；②125×5×7×8=（125×8）×（5×7）=1000×35=35000；③82×99=82×（100-1）=82×100-82×1=8200-82=8118；④44×27+27×55+27=（44+55+1）×27=100×27=2700；⑤960÷6÷16=960÷（6×16）=960÷96=10；⑥1352-（352+365）===635；⑦14.25+7.3+5.75+2.7=（14.25+5.75）+（7.3+2.7）=20+10=30；⑧18.23-6.35-2.65=18.23-（6.35+2.65）=18.23-9=9.23；⑨16.78-2.54+3.22-1.46=（16.78+3.22）-（2.54+1.46）=20-4=16；⑩26.54-（5.23+6.54）=26.54-5.23-6.54=26.54-6.54-5.23=20-5.23=14.77．
马上分享给同学
据魔方格专家权威分析，试题“用简便方法计算下面各题．①284+378+122+216②125×5×7×8③82×99④44×2..”主要考查你对&&运算定律和简便算法&&等考点的理解。关于这些考点的“档案”如下：
现在没空？点击收藏，以后再看。
因为篇幅有限，只列出部分考点，详细请访问。
运算定律和简便算法
学习目标：1、掌握运算定律，并能运用运算定律和性质进行正确、合理、灵活的计算。2、养成良好审题习惯，提高计算能力。运算定律：
加法交换律
两个数相加，交换加数的位置，和不变。
25+14=14+25
加法结合律
三个数相加，先把前两数相加，再同第三个数相加，或者先把后两数相加，再同第一个数相加，它们的和不变。
a+b+c=a+（b+c）
20+14+36= 20+（14+36）
乘法交换律
两个数相乘，交换因数的位置，它们的积不变。
10×12=12×10
乘法结合律
三个数相乘，先把前两个数相乘，再同第三个数相乘，或者先把后两个数相乘，再同第一个数相乘，它们的积不变。
a×b×c= a×（b×c）
12×25×4= 12×（25×4）
乘法分配律
两个数的和同一个数相乘，可以把两个加数分别和这个数相乘，再把两个积相加，结果不变。
（a+b）×c= a×c+b×c
（12+15）×4= 12×4+15×4运算性质：
减法的性质
一个数连续减去几个数等于一个数减去这几个数的和
a-b-b= a-（b+c）
250-18-52= 250-（18+52）
除法的性质
一个数连续除以几个数（0除外）等于一个数除以这几个数的积
a÷b÷c= a÷（b×c）
180÷4÷25= 180÷（4×25）
发现相似题
与“用简便方法计算下面各题．①284+378+122+216②125×5×7×8③82×99④44×2..”考查相似的试题有：
94357037783309304100759398673418016Cisco Visual Networking Index: Forecast and Methodology,
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(730.2 KB)
May 27, 2015
This forecast is part of the Cisco Visual Networking Index(TM) (Cisco VNI(TM)), an ongoing initiative to track and forecast the impact of visual networking applications. This document presents the details of the Cisco VNI global IP traffic forecast and the methodology behind it. For a more analytical look at the implications of the data presented in this paper, refer to the companion document, —Trends and Analysis, or the .
Annual global IP traffic will surpass the zettabyte (1000 exabytes) threshold in 2016, and the two zettabyte threshold in 2019. Global IP traffic will&reach 1.1&zettabytes per year or 88.4 exabytes (one billion gigabytes) per&month in 2016. By 2019, global IP&traffic&will pass a new milestone figure of 2.0 zettabytes per year, or 168.0&exabytes per month.
Global IP traffic has increased more than fivefold in the past 5 years, and will increase nearly threefold over the&next 5&years. Overall, IP traffic will grow at a compound annual growth rate (CAGR) of 23 percent from 2014&to&2019.
Busy-hour Internet traffic is growing more rapidly than average Internet traffic. Busy-hour (or the busiest 60-minute period in a day) Internet traffic increased 34 percent in 2014, compared with 26 percent growth in average traffic. Busy-hour Internet traffic will increase by a factor of 3.4 between 2014 and 2019, while average Internet traffic will increase 2.8-fold. Busy-hour Internet traffic will reach 1.7 petabits per second (Pbps) by 2019.
Metro traffic will surpass long-haul traffic in 2015, and will account for 66 percent of total IP traffic by 2019. Globally, metro traffic will grow nearly twice as fast as long-haul traffic from 2014 to 2019. The higher growth in metro networks is due in part to the increasingly significant role of content delivery networks, which bypass long-haul links&and deliver traffic to metro and regional backbones.
Content delivery networks will carry over half of Internet traffic by 2019. Globally, Sixty-two percent of all Internet traffic will cross content delivery networks by 2019 globally, up from 39 percent in 2014.
Over half of all IP traffic will originate with non-PC devices by 2019. In 2014, only 40 percent of total IP&traffic originated with non-PC devices, but by 2019 the non-PC share of total IP traffic will grow to&67&percent. PC-originated traffic will grow at a CAGR of 9 percent, while TVs, tablets, smartphones, and&machine-to-machine (M2M) modules will have traffic growth rates of 17 percent, 65 percent, 62 percent, and&71&percent, respectively.
Traffic from wireless and mobile devices will exceed traffic from wired devices by 2019. By 2019, wired devices will account for 33 percent of IP traffic, while Wi-Fi and mobile devices will account for 66 percent of IP&traffic. In 2014, wired devices accounted for the majority of IP traffic at 54 percent.
Global Internet traffic in 2019 will be equivalent to 64 times the volume of the entire global Internet in 2005. Globally, Internet traffic will reach 18 gigabytes (GB) per capita by 2019, up from 6 GB per capita in 2014.
The number of devices connected to IP networks will be three times as high as the global population in 2019. There will be three networked devices per capita by 2019, up from nearly two networked devices per capita in 2014. Accelerated in part by the increase in devices and the capabilities of those devices, IP traffic per capita will reach 22 GB per capita by 2019, up from 8 GB per capita in 2014.
Broadband speeds will double by 2019. By 2019, global fixed broadband speeds will reach 43 Mbps, up&from 20&Mbps in 2014.
It would take an individual over 5 million years to watch the amount of video that will cross global IP networks each month in&2019. Every second, nearly a million minutes of video content will cross the network by&2019.
Globally, consumer internet video traffic will be 80 percent of all consumer Internet traffic in 2019, up&from&64 percent in 2014. This percentage does not include video exchanged through peer-to-peer (P2P) file&sharing. The sum of all forms of video (TV, video on demand [VoD], Internet, and P2P) will be in the range of&80&to 90 percent of&global consumer traffic by 2019.
Internet video to TV doubled in 2014. Internet video to TV will continue to grow at a rapid pace, increasing fourfold by 2019. Internet video to TV traffic will be 17 percent of consumer Internet video traffic by 2019, up from&16&percent in 2014.
Consumer VoD traffic will double by 2019. HD will be 70 percent of IP VOD traffic in 2019, up from 59 percent in&2014.
Content delivery network traffic will deliver over half of all internet video traffic by 2019. By 2019, 72&percent of all Internet video traffic will cross content delivery networks, up from 57 percent in 2014.
Globally, mobile data traffic will increase 11-fold between 2014 and 2019. Mobile data traffic will grow at a CAGR of 61 percent between 2014 and 2019, reaching 15.9 exabytes per month by 2019.
Global mobile data traffic will grow three times faster than fixed IP traffic from 2014 to 2019. Global mobile data traffic was 4 percent of total IP traffic in 2014, and will be 14 percent of total IP traffic by 2019.
IP traffic is growing fastest in the Middle East and Africa, followed by Asia Pacific. Traffic in the Middle East and Africa will grow at a CAGR of 44 percent between 2014 and 2019.
IP traffic in North America will reach 49.7 exabytes per month by 2019, at a CAGR of 20 percent. Monthly Internet traffic in North America will generate 9 billion DVDs’ worth of traffic, or 35.4 exabytes per month.
IP traffic in Western Europe will reach 24.7 exabytes per month by 2019, at a CAGR of 21 percent. Monthly Internet traffic in Western Europe will generate 5 billion DVDs’ worth of traffic, or 20.8 exabytes per month.
IP traffic in Asia Pacific will reach 54.4 exabytes per month by 2019, at a CAGR of 21 percent. Monthly Internet traffic in Asia Pacific will generate 11 billion DVDs’ worth of traffic, or 44.1 exabytes per month.
IP traffic in Latin America will reach 12.9 exabytes per month by 2019, at a CAGR of 25 percent. Monthly Internet traffic in Latin America will generate 3 billion DVDs’ worth of traffic, or 11.3 exabytes per month.
IP traffic in Central and Eastern Europe will reach 16.9 exabytes per month by 2019, at a CAGR of 33&percent. Monthly Internet traffic in Central and Eastern Europe will generate 4 billion DVDs’ worth of traffic, or&15.8&exabytes per month.
IP traffic in the Middle East and Africa will reach 9.4 exabytes per month by 2019, at a CAGR of 44 percent. Monthly&Internet traffic in the Middle East and Africa will generate 2 billion DVDs’ worth of traffic, or 8.8 exabytes per month.
Business IP traffic will grow at a CAGR of 20 percent from 2014 to 2019. Increased adoption of advanced video communications in the enterprise segment will cause business IP traffic to grow by a factor of two between 2014 and&2019.
Business Internet traffic will grow at a faster pace than IP WAN. IP WAN will grow at a CAGR of 23 percent, compared with a CAGR of 20 percent for fixed business Internet and 51 percent for mobile business Internet.
Business IP traffic will grow fastest in the Middle East and Africa. Business IP traffic in the Middle East and Africa will grow at a CAGR of 26 percent, a faster pace than the global average of 20 percent. In volume, Asia Pacific will have the largest amount of business IP traffic in 2019, at 9.6 exabytes per month. North America will&be&the second at 8.0 exabytes per month.
The Cisco Visual Networking Index Forecast methodology has been developed based on a combination of analyst projections, in-house estimates and forecasts, and direct data collection. The analyst projections for broadband connections, video subscribers, mobile connections, and Internet application adoption come from SNL Kagan, Ovum, Informa Telecoms & Media, Infonetics, IDC, Gartner, AMI, Arbitron Mobile, Ookla Speedtest.net, Strategy Analytics, Screen&Digest, Dell’Oro Group, Synergy, comScore, Nielsen, and others. Upon this foundation are layered Cisco’s&own estimates for application adoption, minutes of use, and kilobytes per minute. The adoption, usage, and&bitrate assumptions are tied to fundamental enablers such as broadband speed and computing speed. All&usage and traffic results are then validated using data shared with Cisco from service providers. Figure 1 shows&the forecast methodology.
Figure 1.& Cisco VNI Forecast Methodology Incorporates Fundamental Enablers of Adoption and Usage
Following the methodology through each step for a single application category (in this case, Internet video) illustrates the estimation process.
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). This year, 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.
After the number of Internet video users has been established, the number of users for each video subsegment must be estimated. It was assumed that all Internet video users view short-form video in addition to other forms of&video they may watch. The Internet video users that watch long form video (based partially on comScore Video&Metrix figures for video sites whose average viewing time is longer than 5 minutes), live video, ambient video&and Internet personal video recorder (PVR) is estimated.
For each application subsegment, minutes of use (MOU) are estimated. Multiple sources are used to determine MOU: the Cisco VNI Usage data collection program provides a minute-per-subscriber baseline for many applications, the Cisco Connected Life Market Watch survey provides MOU for markets that are not covered by the&Usage program, and comScore Video Metrix provides PC-based MOU for online video. Special care is taken to&help ensure that&the total number of Internet video minutes is well within the total number of video minutes (including television broadcast) for each user. For example, if the average individual watches a total of 4 hours of&video content per day, the sum of Internet, managed IP, and mobile video hours should be a relatively small portion of&the total 4 hours.
After MOU have been estimated for each subsegment 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 2014 through 2019. For each application category, a representative bitrate is established, and this representative bitrate grows at approximately the same pace as the broadband speed. For video categories, a 7-percent annual compression gain is applied to the bitrate. Local bitrates are then calculated based on how much the average broadband speed in the country differs from the global average, digital screen size in the country, and the computing power of the average device in the country. Combining these factors yields bitrates that are then applied to the MOU.
The next step in the methodology is to multiply the bitrates, MOU, and users together to get average petabytes&per&month.
The next step is to reconcile the Internet, managed IP, and mobile segments of the forecast. The portion of mobile&data traffic that has migrated from the fixed network is subtracted from the fixed forecast, and the amount of&mobile data traffic offloaded onto the fixed network through dual-mode devices and femtocells is added back to&the fixed forecast.
The&sections that follow present quantitative results of the forecast and details of the methodology for each segment and type.
Table 1 shows the top-line forecast. According to this forecast, global IP traffic in 2014 stands at 59.9 exabytes per&month and will nearly triple by 2019, to reach 168.4 exabytes per month. Consumer IP traffic will reach 138&exabytes per month and business IP traffic will surpass 29.6 exabytes per month.
Table 1.Global IP Traffic,
Fixed Internet
Managed IP
Mobile data
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Total IP traffic
Source: Cisco VNI, 2015
●Consumer: Includes fixed IP traffic generated by households, university populations, and Internet caf&s
●Business: Includes fixed IP WAN or Internet traffic generated by businesses and governments
●Mobile: Includes mobile data and Internet traffic generated by handsets, notebook cards, and mobile broadband&gateways
●Internet: Denotes all IP traffic that crosses an Internet backbone
●Managed IP: Includes corporate IP WAN traffic and IP transport of TV and VoD
The following tables show cross-tabulations of end-user segment and network type for the final year of the forecast&period (2019). Consumer Internet remains the primary generator of IP traffic, but mobile data has the&highest growth rate and begins to generate significant traffic by 2019 (Table 2).
Table 2.Exabytes per Month as of Year End 2019
Managed IP
Mobile data
Source: Cisco VNI, 2015
Table 3 shows the same data as Table 2, but in terms of annual traffic run rates. These run rates are based on the&monthly traffic at the end of 2019.
Table 3.Exabytes per Year as of Year End 2019
Managed IP
Mobile data
Source: Cisco VNI, 2015
Consumer and business traffic are both dominated by Internet traffic, although business traffic is more evenly distributed across public Internet and managed IP (Table 4).
Table 4.Traffic Share by End-User Segment as of Year End 2019
Managed IP
Mobile data
Source: Cisco VNI, 2015
Consumer traffic accounts for the majority of IP traffic in every network type segment. Consumer traffic will be 81&percent of all fixed Internet traffic, 84 percent of all of managed IP traffic, and 85 percent of all mobile data traffic (Table 5).
Table 5.Traffic Share by Network Type as of Year End 2019
Managed IP
Mobile Internet
Source: Cisco VNI, 2015
Consumer Internet traffic will represent over half of all IP traffic, followed by consumer managed IP (VoD), which represents 16 percent of traffic (Table 6).
Table 6.Overall Traffic Share as of Year End 2019
Managed IP
Mobile data
Source: Cisco VNI, 2015
Metro-only traffic (traffic that traverses only the metro and bypasses long-haul traffic links) surpasses long-haul traffic in 2014, and will account for 62 percent of total IP traffic by 2019. Metro-only traffic will grow nearly twice as&fast as&long-haul traffic from 2014 to 2019 (Table 7).
Table 7.Metro and Long-Haul Traffic,
North America
Asia Pacific
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Asia Pacific
Central and Eastern Europe
Latin America
Middle East and Africa
Western Europe
North America
Total IP traffic
Source: Cisco VNI, 2015
With the emergence of popular video-streaming services that deliver Internet video to the TV and other device&endpoints, content delivery networks have prevailed as a dominant method to deliver such content. Globally, 62&percent of all Internet traffic will cross content delivery networks by 2019, up from 39 percent in&2014.&Globally,&72 percent of all Internet video traffic will cross content delivery networks by 2019, up from&57&percent in&2014 (Table 8).
Table 8.Global Content Delivery Network Internet Traffic,
North America
Asia Pacific
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
CDN Internet traffic
Source: Cisco VNI, 2015
As shown in Table 9, global consumer IP traffic is expected to reach 139 exabytes per month in 2019. Most of today’s consumer IP traffic is Internet traffic.
Table 9.Global Consumer IP Traffic,
Managed IP
Mobile data
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Consumer IP traffic
Source: Cisco VNI, 2015
This category encompasses any IP traffic that crosses the Internet and is not confined to a single service provider’s network. Internet video streaming and downloads are beginning to take a larger share of bandwidth and will grow to more than 80 percent of all consumer Internet traffic by 2019 (Table 10).
Table 10.Global Consumer Internet Traffic,
Internet video
Web, email, and data
File sharing
Online gaming
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Consumer Internet traffic
Source: Cisco VNI, 2015
●Web, email, and data: Includes web, email, instant messaging, and other data traffic (excludes file sharing)
●File sharing: Includes peer-to-peer traffic from all recognized P2P systems such as BitTorrent and eDonkey, as&well&as traffic from web-based file-sharing systems
●Gaming: Includes casual online gaming, networked console gaming, and multiplayer virtual-world gaming
●Internet video: Includes short-form Internet video (for example, YouTube), long-form Internet video (for&example, Hulu), live Internet video, Internet-video-to-TV (for example, Netflix through Roku), online&video purchases and rentals, webcam viewing, and web-based video monitoring (excludes P2P video&file downloads)
This general category encompasses web browsing, email, instant messaging, data (which includes file transfer using HTTP and FTP), and other Internet applications (Table 11). Note that data may include the download of video files that are not captured by the Internet video to PC forecast. This category includes traffic generated by&all&individual Internet users. An Internet user is here defined as someone who accesses the Internet through a&desktop or laptop computer at home, school, Internet caf&, or other location outside the context of a business.
Table 11.Global Consumer Web, Email, and Data Traffic,
Fixed web and data
Mobile web and data
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Consumer web, email, and data
Source: Cisco VNI, 2015
This category includes traffic from P2P applications such as BitTorrent and eDonkey, as well as web-based file sharing. Note that a large portion of P2P traffic is due to the exchange of video files, so a total view of the impact of&video on the network should count P2P video traffic in addition to the traffic counted in the Internet video to PC&and Internet video to TV categories. Table 12 shows the forecast for consumer P2P traffic from 2014 to 2019. Note&that the P2P category is limited to traditional file exchange and does not include commercial video-streaming applications that are delivered through P2P, such as&PPStream or PPLive.
Table 12.Global Consumer File-Sharing Traffic,
P2P file transfer
Other file transfer
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Consumer file sharing
Source: Cisco VNI, 2015
With the exception of the Internet video to TV subcategory, all of the Internet video subcategories consist of online video that is downloaded or streamed for viewing on a PC screen (Table 13). Internet video to TV is Internet delivery of video to a TV screen through a set-top box (STB) or&equivalent device. Much of the video streamed or downloaded through the Internet consists of free clips, episodes, and other content offered by traditional content producers such as movie studios and television networks.
Table 13.Global Consumer Internet Video,
Internet video to TV
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Consumer Internet video
Source: Cisco VNI, 2015
●Internet video to TV: Video delivered through the Internet to a TV screen by way of an Internet-enabled set-top box (for example, Roku) or equivalent device (for example, Microsoft Xbox 360), Internet-enabled TV, or PC-to-TV connection
●Video: Video includes the following underlying categories:
Short form: User-generated video and other video clips generally less than 7 minutes in length
Video calling: Video messages or calling delivered on fixed Internet initiated by smartphones, non-smartphones, and&tablets
Long form: Video content generally greater than 7 minutes in length
Live Internet TV: Peer-to-peer TV (excluding P2P video downloads) and live television streaming over&the Internet
Internet PVR: Recording of live TV content for later viewing
Ambient video: Nannycams, petcams, home security cams, and other persistent video streams
Mobile video: All video that travels over a second-generation (2G), 3G, or 4G network
Managed IP video is IP traffic generated by traditional commercial TV services (Table 14). This traffic remains within the footprint of a single service provider, so it is not considered Internet traffic. (For Internet video delivered to the set-top box, see Internet video to TV in the previous section.)
Table 14.Global Consumer Managed IP Traffic,
North America
Asia Pacific
Western Europe
Latin America
Central and Eastern Europe
Middle East and Africa
Managed IP video traffic
Source: Cisco VNI, 2015
The enterprise forecast is based on the number of network-connected computers worldwide. In our experience, this&basis provides the most accurate measure of enterprise data usage. An average business user might generate&4 GB&per month of Internet and WAN traffic. A large-enterprise user would generate significantly more&traffic, 8–10 GB per month (Table 15).
Table 15.Business IP Traffic,
Business Internet traffic
Business managed IP traffic
Business mobile data
Asia Pacific
North America
Western Europe
Central and Eastern Europe
Latin America
Middle East and Africa
Business IP traffic
Source: Cisco VNI, 2015
●Business Internet traffic: All business traffic that crosses the public Internet
●Business managed IP traffic: All business traffic that is transported over IP but remains within the&corporate WAN
●Business mobile data traffic: All business traffic that crosses a mobile access point
Mobile data traffic includes handset-based data traffic, such as text messaging, multimedia messaging, and handset video services (Table 16). Mobile Internet traffic is generated by wireless cards for portable computers and&handset-based mobile Internet usage.
Table 16.Mobile Data and Internet Traffic,
Asia Pacific
North America
Central and Eastern Europe
Middle East and Africa
Western Europe
Latin America
Mobile data and Internet
Source: Cisco VNI, 2015
For more information, refer to the companion document —Trends and Analysis. Inquiries can be&directed to .