The increasingly distributed nature of users and the prevalence of teleworkers, coupled with emerging application deployment models that leverage external cloud computing, introduce additional tsress on existing network connections in the form of more data being exchanged more often.
Optimizing Wi-Fi Device Adaptability to High-Interference Environments
Employee productivity can be dramatically affected by slow networks that result in poorly performing applications. Business continuity plans—no matter how carefully thought out and implemented—can go awry when backups fail to complete, take more time than expected, and cause some applications to go unprotected.
The technologies that they will use include techniques such as compression, deduplication, caching, quality of service, and protocol acceleration. To date, most network compression systems have been packet-based. Packet-based compression systems buffer packets destined for a remote network with a decompressor. These packets are compressed either one at a time or as a group and then sent to the decompressor where the process is reversed see Figure 1. Packet-based compression has been available for many years and can be found in routers and VPN clients.
Packet-based compression systems have additional problems. When compressing packets, these systems must choose between writing small packets to the network and performing additional work to aggregate and encapsulate multiple packets. Neither option produces optimal results. This enables BIG-IP AAM to apply compression across a completely homogenous data set while addressing all application types, resulting in higher compression ratios than comparable packet-based systems.
Furthermore, by operating at the session layer, packet boundary and repacketization problems are eliminated. System throughput is also increased when compression is performed at the session layer through the elimination of the encapsulation stage. One limitation all compression routines have in common is limited storage space.
Others techniques, such as disk-based compression systems, can store as much as 1 terabyte of data. To understand the impact of dictionary size, a basic understanding of cache management is required. Zipf's and Heaps' laws are linguistics-derived mathematical equations used to predict the repetitiveness of a vocabulary subset in a finite text.
Both laws are applicable outside linguistics to describe observed patterns of repetitiveness in data. Both are often used in data deduplication and compression algorithms as aids to predict and optimize the elimination of repeating byte patterns.
Zipf's law provides a mathematical formula for determining the frequency distribution of words in a language. Zipf's law states that the frequency of any word in a collection is inversely proportional to its rank in the frequency table. The most frequent word will occur twice as often as the second most frequent, and so on.
A plot graph of data that exhibits Zipf's law will have a slope of All modern, dictionary-based compression systems leverage uneven distribution by storing more frequently accessed data and discarding less frequently accessed data.
Through this type of optimization, a dictionary that stores less than 10 percent of all the byte patterns can achieve a hit ratio well in excess of 50 percent.This is a list of tornadoes which have been officially or unofficially labeled as F5, EF5, or an equivalent rating, the highest possible ratings on the various tornado intensity scales.
These scales — the Fujita scalethe Enhanced Fujita scaleand the TORRO tornado intensity scale — attempt to estimate the intensity of a tornado by classifying the damage caused to natural features and man-made structures in the tornado's path. Tornadoes are among the most violent known meteorological phenomena. The scale ranks tornadoes from F0 to F5, with F0 being the least intense and F5 being the most intense.
Following two particularly devastating tornadoes in andengineers questioned the reliability of the Fujita scale. Ultimately, a new scale was devised that took into account 28 different damage indicators; this became known as the Enhanced Fujita scale.
In the United States, between and January 31,a total of 50 tornadoes were officially rated F5, and since February 1,a total of nine tornadoes have been officially rated EF5. Several other tornadoes have also been documented as possibly attaining this status, though they are not officially rated as such.
The work of tornado expert Thomas P. Grazulis revealed the existence of several dozen likely F5 tornadoes between and Grazulis also called into question the ratings of several tornadoes currently rated F5 by official sources.
The tornadoes on this list have been formally rated F5 by an official government source. Unless otherwise noted, the source of the F5 rating is the U. Prior toassessments of F5 tornadoes are based primarily on the work of Thomas P. In addition to the accepted ones, Grazulis rated a further 25 during the same period which were not accepted. Beginning intornadoes were rated by the NWS using on-site damage surveys.
As of February 1,tornadoes in the United States are rated using the Enhanced Fujita Scalewhich replaced the Fujita scale in order to more accurately correlate tornadic intensity with damage indicators and to augment and refine damage descriptors. No earlier tornadoes will be reclassified on the Enhanced Fujita scale, and no new tornadoes in the United States will be rated on the original Fujita scale. France and Canada also adopted the EF-Scale in subsequent years.
Of the 59 tornadoes in the United States, 50 are officially rated F5 on the original Fujita scale with dates of occurrence between May 11,and May 3,and nine are officially rated EF5 on the Enhanced Fujita scale with dates of occurrence between May 4,and May 20, From Wikipedia, the free encyclopedia. Wikipedia list article.While it is usually desirable to set all your Wi-Fi nodes at the maximum possible data rate 11Mbps for PRO: Theoretically, higher speeds should result in higher throughput and performance, and thus a better user experience.
PRO: Transmitting at maximum speed saves battery life because faster transmissions take less time. PRO: Dropping data rates back to their adaptive speeds can cause interference on its own in other parts of the network.
Transmissions can go farther at slower speeds.
Understanding Advanced Data Compression
Then, interference enters the picture, causing the data rate to adapt, or fall back, to a lower speed, sending the signals farther distances. CON: The lower data rates use less complex and more redundant methods of encoding the data, making them less susceptible to interference and signal attenuation. CON: There might be clients performing suboptimally because of the quality of the client software driver.
If you discover lots of retransmissions from a particular client, your monitoring analysis might indicate that the particular client should be set back to one of the adaptive rates at all times - such as to 5. Here are the latest Insider stories. More Insider Sign Out. Sign In Register. Sign Out Sign In Register. Latest Insider. Check out the latest Insider stories here. More from the IDG Network. Join the Network World communities on Facebook and LinkedIn to comment on topics that are top of mind.
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So I started looking for some tweaks and found some excellent ones that have made it very stable indeed, I thought they might be useful to someone on here.
The computer is upstairs a fair distance away from the router with a direct line of sight passing through at least 2 interior walls and one brick wall. The dongle is connected directly to a USB 3. These are just what worked well for me. Windows Connected the dongle. Installed latest Asus drivers found here I also installed the asus utility found in the same place but this is not essential.
It gives real time connection speed with the router and search facility to see which networks in your area are using which channels. Tweaks: In order to get stability in the system - despite the utility giving me full signal at both 5Ghz and 2. No dropouts, connection issues or otherwise.
Please feel free to use these settings and report back on how they have worked for you. Last edited: Nov 6, Nov 17, at PM 2. I have now enabled this and seem to be getting a faster 5Ghz connection VHT 2. Nov 26, at AM 3. Nexus18 Capodecina Joined: Jun 4, Posts: 23, Tried this out as my 5GHz is extremely broke on windows 10 64 bit works flawlessy on w7connects and just disconnects randomly, could be fine for a few hours or just a few minutes.
Unfortunately didn't work for me, seemed a bit better though. My adaptor is the TP link archer AC dual band adapter. Nov 26, at PM 4. Only after upgrading the OS installing the W10 drivers too was when the issues started. Nov 26, at PM 5. Dec 13, at PM 6. So I guess the question is, is there a way of disabling win 10 from managing the wifi connection and allowing asus to do it?
Mathematics Stack Exchange is a question and answer site for people studying math at any level and professionals in related fields. It only takes a minute to sign up. I'm having trouble proving this with induction, I know how to prove the base case and present the induction hypothesis but I'm unfamiliar with proving series such as this.
Any help would be great.
The proof can be formalized using induction. This was already done by Jytug. Here is a solution using Binet's formula :. Their precise value is not really important here. Sign up to join this community. The best answers are voted up and rise to the top. Home Questions Tags Users Unanswered.
Asked 5 years, 4 months ago. Active 3 years, 7 months ago. Viewed 4k times. VividD Dylan Pomeroy Dylan Pomeroy 61 1 1 silver badge 2 2 bronze badges.
Active Oldest Votes. Jytug Jytug 2, 7 7 silver badges 20 20 bronze badges. Jimmy R. But this problem screamed for a solution with geometric series.
Trying to understand Advanced settings:
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Due to speed and connection issues I would like to tune these values but I cannot seem to find any reference that explains these options:. The first three sections are about optional features of the IEEE They should all help and should not hurt, and you want them enabled unless you suspect that your client or AP has a buggy implementation of that feature that is causing problems.
It's a standard part of It allows your Beamforming is a standard part of It allows you to get greater better signal strength, and thus better throughput, at range.
I note that ALFA says your adapter contains some kind of anti-Bluetooth-interference device, which is probably what this is all about. It probably has a stripped-down Bluetooth radio that simply tells other Bluetooth radios to stop using the frequencies that its Wi-Fi radio is using. The Adaptivity settings you're seeing don't seem to have any direct correlation to parts of the ETSI adaptivity test, so it's hard for me to say what it's all about.
Maybe someone with deep knowledge of how Bluetooth AFH works might know what these settings mean. Then again, maybe these settings are very specific to Realtek's or ALFA's implementation, so perhaps no one outside of Realtek or ALFA would know what they mean, since there doesn't seem to be any public documentation about them.
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Question of the Week: What are some tricks to getting the best performance out of our home computers? Trying to understand Advanced settings:.
Dec 6, 2, 27 20, There is nothing there worth tweaking to improve performance but you could change a setting to mess everything up, if you don't know what it does don't touch it!!
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