The TOFFEE Project
HOMEDOCUMENTATIONUPDATESVIDEOSRESEARCHDOWNLOADSPONSORSCONTACT


DOCUMENTATION 》 TEST CASES :: TEST RESULTS :: Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2

Here are my test cases and test results of Raspberry Pi TOFFEE-Mocha (version: TOFFEE-Mocha-1.0.14-1-rpi2) WAN Emulator build. I have connected two laptops as shown below via TOFFEE-Mocha Raspberry Pi2 device. I did these test cases to assess TOFFEE-Mocha, test its existing features, find and fix bugs if any, as well as a part of my routine research and analysis. It is connected via 100Mbps network since the Raspberry Pi2 supports only 100Mbps Ethernet as well my other USB2 to 100Mbps Ethernet adapter connected to it.
Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 test setup

The DELL Laptop is installed with Apache2 web-server. And in the /var/www/html/videos/xaa file is copied. Which is a fragment of video file of size exactly 500MB.

Basic Test criteria:
The intent of all the test cases is to do few ping tests from HP Laptop to DELL Laptop via Raspberry Pi TOFFEE-Mocha device. And followed by a wget copy/download (via HTTP Protocol) of the xaa file from DELL Laptop via Raspberry Pi TOFFEE-Mocha device. And in each test case the same two tests are repeated while enabling various WAN emulation features supported in TOFFEE-Mocha (TOFFEE-Mocha-1.0.14-1-rpi2). Finally compare all test cases with the first test case (Test case1). Test case 1 is the reference test case in which no TOFFEE-Mocha WAN Emulation features are enabled in the TOFFEE-Mocha Raspberry Pi device.

Test case1 :: All TOFFEE-Mocha WAN Emulation features are disabled:
This is the first case in which all the TOFFEE-Mocha WAN Emulation features are disabled. Only Linux Kernel network bridging is created via TOFFEE-Mocha to facilitate to-and-fro packet flow between my HP and DELL laptops.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=2.19 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=1.70 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=1.71 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=1.64 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=1.72 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=1.67 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=1.72 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=1.71 ms
1208 bytes from 192.168.0.100: icmp_seq=9 ttl=64 time=1.68 ms
1208 bytes from 192.168.0.100: icmp_seq=10 ttl=64 time=1.72 ms
^C
--- 192.168.0.100 ping statistics ---
10 packets transmitted, 10 received, 0% packet loss, time 9015ms
rtt min/avg/max/mdev = 1.647/1.752/2.199/0.159 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 10:59:20--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M  4.90MB/s    in 72s     


2016-06-27 11:00:32 (6.90 MB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Here is the screenshot of the System Monitor Networking stats captured in my HP Laptop. Notice the blue curve (Network History) in the graph which denotes constant flow of packets with few glitches here and there.
Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 Test case1

Test case2:
Constant packet delay: 1-millisecond and 0-microseconds
Dynamic packet delay disabled. Random packet drop disabled
This is a constant 1-millisecond packet delay. As you can see below there is a performance drop in both ping tests as well in the xaa wget file download.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=3.73 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=3.63 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=3.65 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=3.71 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=3.70 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=3.90 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=3.56 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=3.69 ms
1208 bytes from 192.168.0.100: icmp_seq=9 ttl=64 time=3.74 ms
1208 bytes from 192.168.0.100: icmp_seq=10 ttl=64 time=3.67 ms
^C
--- 192.168.0.100 ping statistics ---
10 packets transmitted, 10 received, 0% packet loss, time 9014ms
rtt min/avg/max/mdev = 3.562/3.702/3.902/0.099 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 11:06:33--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M   889KB/s    in 9m 37s  

2016-06-27 11:16:10 (887 KB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Notice the blue curve(Network History). The overall performance dropped to around 800KB/s.
Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 Test case2

Test case3:
Constant packet delay: 1-millisecond and 500-microseconds
Dynamic packet delay disabled. Random packet drop disabled
This is a constant 1-millisecond and 500-microseconds (which is 1.5millisecond) packet delay. As you can see below there is a performance drop in both ping tests as well in the xaa wget file download.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=4.66 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=4.70 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=4.69 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=4.60 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=4.69 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=4.72 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=4.73 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=4.81 ms
^C
--- 192.168.0.100 ping statistics ---
8 packets transmitted, 8 received, 0% packet loss, time 7012ms
rtt min/avg/max/mdev = 4.605/4.705/4.813/0.073 ms
kiran@HP-ENVY-15:~/temp$ 
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 11:17:54--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M   602KB/s    in 14m 16s 

2016-06-27 11:32:10 (598 KB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Test case4:
Constant packet delay: 0-millisecond and 0-microsecond
Dynamic packet delay enabled (factor 1). Random packet drops disabled
In this case constant packet delay is disabled and dynamic packet delay is enabled with dynamic delay factor 1. If the dynamic delay factor is 1 then the dynamic delay is more proportional to the size of the packet. Hence you can see there is a huge performance drop in the ping packets. As well stable performance drop in the wget xaa file download. Since it is a large 500MB file download, so the performance drop is fairly constant without much fluctuations. But in real world scenario, assume you are doing casual browsing and large folder with 100s of small file downloads, in those cases you may experience burst-like network performance. Since small packets are transferred without any significant delay and large near MTU sized packets are proportionally delayed.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=4.09 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=4.17 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=4.15 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=4.09 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=4.13 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=4.19 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=4.19 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=4.29 ms
^C
--- 192.168.0.100 ping statistics ---
8 packets transmitted, 8 received, 0% packet loss, time 7008ms
rtt min/avg/max/mdev = 4.091/4.167/4.295/0.061 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 11:35:32--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M   887KB/s    in 9m 39s  

2016-06-27 11:45:11 (884 KB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Test case5:
Constant packet delay: 0-millisecond and 0-microsecond
Dynamic packet delay enabled (factor 2). Random packet drops disabled
Same test case as above (i.e Test case 4) but with dynamic delay factor 2. This cuts down the exponential dynamic delay proportional to the packet size. And hence there is better network performance compared with test case 4. But in general you may experience similar network performance characteristics dynamically as test-case 4, but in this case little less significant.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=2.86 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=2.88 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=2.96 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=2.91 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=2.88 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=2.85 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=2.92 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=2.89 ms
1208 bytes from 192.168.0.100: icmp_seq=9 ttl=64 time=2.89 ms
^C
--- 192.168.0.100 ping statistics ---
9 packets transmitted, 9 received, 0% packet loss, time 8014ms
rtt min/avg/max/mdev = 2.858/2.898/2.967/0.059 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 11:46:47--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M  1.67MB/s    in 5m 2s   

2016-06-27 11:51:49 (1.66 MB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Test case6:
Constant packet delay: 0-millisecond and 0-microsecond
Dynamic packet delay disabled. Random packet drop enabled (factor 1)
In this case both dynamic and constant delay features are disabled and random packet drop is enabled with random drop factor 1 option. With this setting you may not notice much issues in ping performance as you can see below. This ping performance is almost the same as Test case 1 (i.e no WAN Emulation settings enabled in TOFFEE-Mocha). But you may notice a drastic file download performance degrade. You can control this via drop factor variable. In this case it is value 1. So there is excess packet loss. This will add confusion in TCP connection(s) and hence you will get extremely unpredictable dynamic performance.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=1.69 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=1.74 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=1.97 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=1.79 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=1.71 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=1.74 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=1.73 ms
1208 bytes from 192.168.0.100: icmp_seq=9 ttl=64 time=1.70 ms
1208 bytes from 192.168.0.100: icmp_seq=11 ttl=64 time=1.71 ms
1208 bytes from 192.168.0.100: icmp_seq=12 ttl=64 time=1.66 ms
1208 bytes from 192.168.0.100: icmp_seq=13 ttl=64 time=1.71 ms
^C
--- 192.168.0.100 ping statistics ---
13 packets transmitted, 11 received, 15% packet loss, time 12015ms
rtt min/avg/max/mdev = 1.661/1.745/1.970/0.077 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 11:54:40--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M   663KB/s    in 12m 25s 

2016-06-27 12:07:04 (687 KB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Notice the blue curve (Network History) which is completely fluctuating. You get extremely bad and unpredictable performance. Notice the second screenshot, where it sometimes halts the packet transfer due to the confusion caused by random packet drop.
Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 Test case6_1
Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 Test case6_2

Test case7:
Constant packet delay: 0-millisecond and 0-microsecond
Dynamic packet delay disabled. Random packet drop enabled (factor 2)
Same as Test case 6, but in this case the random packet drop factor is value 2. This means the probability of packet drop (packet loss) is lesser than drop factor 1. So similar to Test case 6, you may not notice any significant ping performance issues. But in the wget xaa file download, you may notice now it is somewhat better than test case 6. There is less confusion in the link/connectivity, and hence better network performance and so less turbulence.

kiran@HP-ENVY-15:~/temp$ ping 192.168.0.100 -s 1200
PING 192.168.0.100 (192.168.0.100) 1200(1228) bytes of data.
1208 bytes from 192.168.0.100: icmp_seq=1 ttl=64 time=1.66 ms
1208 bytes from 192.168.0.100: icmp_seq=2 ttl=64 time=1.71 ms
1208 bytes from 192.168.0.100: icmp_seq=3 ttl=64 time=1.77 ms
1208 bytes from 192.168.0.100: icmp_seq=4 ttl=64 time=1.78 ms
1208 bytes from 192.168.0.100: icmp_seq=5 ttl=64 time=1.78 ms
1208 bytes from 192.168.0.100: icmp_seq=6 ttl=64 time=1.62 ms
1208 bytes from 192.168.0.100: icmp_seq=7 ttl=64 time=1.66 ms
1208 bytes from 192.168.0.100: icmp_seq=8 ttl=64 time=1.73 ms
1208 bytes from 192.168.0.100: icmp_seq=9 ttl=64 time=1.71 ms
^C
--- 192.168.0.100 ping statistics ---
9 packets transmitted, 9 received, 0% packet loss, time 8014ms
rtt min/avg/max/mdev = 1.629/1.717/1.781/0.060 ms
kiran@HP-ENVY-15:~/temp$
kiran@HP-ENVY-15:~/temp$ wget http://192.168.0.100/videos/xaa
--2016-06-27 12:10:13--  http://192.168.0.100/videos/xaa
Connecting to 192.168.0.100:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 524288000 (500M)
Saving to: ‘xaa’

xaa                                  100%[===================================================================>] 500.00M  5.96MB/s    in 95s     

2016-06-27 12:11:48 (5.28 MB/s) - ‘xaa’ saved [524288000/524288000]

kiran@HP-ENVY-15:~/temp$

Notice the blue curve (Network History), the network performance is now improved compared to the test case 6. You can notice due to still existing random packet drop (although less compared to test case 6), there is a dynamic network fluctuating performance.

Raspberry Pi WAN Emulator TOFFEE-Mocha-1.0.14-1-rpi2 Test case7

So these are the various test cases I tested casually. The intent is not to try all combinations of TOFFEE-Mocha features. But the intent is to test how far these features are going to affect the real-time simulated WAN network performance. And as well to understand which combination of settings need to be set for any given WAN network simulation, such as Mobile networks, Satellite networks, inflight WiFi and so on.



Suggested Topics:


TOFFEE-Mocha - WAN Emulator


Categories

💎 TOFFEE-MOCHA new bootable ISO: Download
💎 TOFFEE Data-Center Big picture and Overview: Download PDF


Recommended Topics:

TOFFEE (and TOFFEE-DataCenter) optimized Satellite (inflight/marine/defense) ISP Networks ↗
Saturday' 13-Mar-2021
TOFFEE Optimized Satellite ISP Network: TOFFEE/TOFFEE-DataCenter can be used to optimize Satellite Networks (Satellite based Internet Networks, VoIP, Data, private leased-links) as shown. Ground station transponders can be connected via array of TOFFEE Devices and in the remote CPE can have dedicated or inbuilt TOFFEE with which you can establish a WAN Optimized Satellite Network Tunnel as shown.

Introducing TrueBench - a high resolution CPU benchmarking system ↗
Saturday' 13-Mar-2021
TrueBench is an unique open-source benchmarking system in which the core system performance and efficiency parameters are measured at extreme high resolution in the order of several million/billion µ-seconds for a given specific task. TrueBench is a part of The TOFFEE Project research. With TrueBench Raspberry Pi 3, Raspberry Pi 2B, Raspberry Pi 2 and other embedded SoC devices are benchmarked and you can do a comparative analysis with standard mainstream x86 devices.

Bufferbloat in a Networking Device or an Appliance ↗
Saturday' 13-Mar-2021

TOFFEE-Mocha WAN Emulation software development - Update: 16-June-2016 ↗
Saturday' 13-Mar-2021
I started TOFFEE-Mocha WAN Emulation software development on 1-June-2016. I took the existing TOFFEE components as a base. Although the TOFFEE-Mocha is entirely an independent fresh Open-Source WAN Emulation solution. Ever since I am in the process of defining and inventing features. So far I come up with the most important feature which is expected to be present in any WAN Emulation software is the packet delay option.

Introducing TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch yet another variant of TOFFEE can be used to save and optimize your Home/SOHO Internet/WAN bandwidth. Unlike TOFFEE (and TOFFEE-DataCenter) TOFFEE-Butterscotch is a non peer-to-peer (and asymmetric) network optimization solution. This makes TOFFEE-Butterscotch an ideal tool for all Home and SOHO users.

Amazon Prime video - Video Acceleration No more Buffering Problems - WAN Acceleration ↗
Saturday' 13-Mar-2021

Watch on Youtube - [889//1] 280 WAN Optimization - Animated demo of Packet Optimization in TOFFEE-DataCenter ↗


Setting up a WAN Emulator within VirtualBox ↗
Saturday' 13-Mar-2021

Introducing TOFFEE-Butterscotch - Save and Optimize your Internet/WAN bandwidth ↗
Saturday' 13-Mar-2021
TOFFEE-Butterscotch yet another variant of TOFFEE can be used to save and optimize your Home/SOHO Internet/WAN bandwidth. Unlike TOFFEE (and TOFFEE-DataCenter) TOFFEE-Butterscotch is a non peer-to-peer (and asymmetric) network optimization solution. This makes TOFFEE-Butterscotch an ideal tool for all Home and SOHO users.

Riverbed and Silver Peak WAN Optimization vs TOFFEE-DataCenter (TOFFEE and or TrafficSqueezer) - FAQ ↗
Saturday' 13-Mar-2021

Raspberry Pi as a Networking Device ↗
Saturday' 13-Mar-2021
Raspberry Pi is often used as a single board computer for applications such as IoT, hobby projects, DIY, education aid, research and prototyping device. But apart from these applications Raspberry Pi can be used for real-world applications such as in making a full-fledged networking devices. Raspberry Pi is a single board ARM based hardware which is why it is also classified as ARM based SoC. Since it is ARM based it is highly efficient, tiny form-factor and lower in power consumption with moderate computational power. This will allow it to work several hours on emergency battery backup power supply such as low-cost domestic UPS and or some renewable energy source, which is a prerequisite for a typical networking device.



Featured Educational Video:
Watch on Youtube - [8613//1] x254 Kernel Init Code without Kernel Module - Kernel Programming Tip #linode ↗

TOFFEE-DataCenter WAN Optimization software development - Update: 13-Aug-2016 ↗
Saturday' 13-Mar-2021
Earlier the TOFFEE is intended to work on IoT devices, Satellite Networks, branch office/SOHO deployments. In most cases the users may deploy just one or couple of TOFFEE devices per site. But in the case of TOFFEE-DataCenter, users can scale-up deploying the same in multiple servers in a sort of distributed cluster computing scenario. Besides the core TOFFEE-DataCenter components (such as packet processing engine/framework), I need to do lot of changes in its Graphical User Interface (GUI) too to address these new requirements.

Replacing in Lab Intel Core i7 5820K Desktop PC with Intel Celeron 1037U Mini-PC ↗
Saturday' 13-Mar-2021
As a research experiment I replaced my Intel Core i7 5820K desktop PC with my Intel Celeron 1037U Mini-PC as my everyday desktop system. This is an attempt to reduce my overall monthly power consumption. As well an attempt to do feasibility tests and research to know how far Mini PC will dominate the market in future and to study the real potential of Mini PCs.

TOFFEE-Butterscotch Bandwidth saver software development - Update: 17-Nov-2016 ↗
Saturday' 13-Mar-2021
Here is my second software development update of TOFFEE-Butterscotch. In the previous update (28-Oct-2016) I discussed about the Alerts, etc. Whereas in my first TOFFEE-Butterscotch news update I have introduced about TOFFEE-Butterscotch research, project specifications, use-cases, etc.

TOFFEE-DataCenter :: Features Supported ↗
Saturday' 13-Mar-2021
Here is a list of TOFFEE-DataCenter features supported. TOFFEE-DataCenter currently supports some of the important features such as loss-less network data compression, Packet Deduplication (protocols/applications supported), Application Acceleration, TCP Acceleration, dynamic MTU optimization, data packaging, hardware offload support, etc.



Watch on Youtube - [889//1] 280 WAN Optimization - Animated demo of Packet Optimization in TOFFEE-DataCenter ↗

Tracking Live Network Application Data - in a WAN Acceleration (WAN Optimization) Device ↗
Saturday' 13-Mar-2021



Research :: Optimization of network data (WAN Optimization) at various levels:
Network File level network data WAN Optimization


Learn Linux Systems Software and Kernel Programming:
Linux, Kernel, Networking and Systems-Software online classes


Hardware Compression and Decompression Accelerator Cards:
TOFFEE Architecture with Compression and Decompression Accelerator Card


TOFFEE-DataCenter on a Dell Server - Intel Xeon E5645 CPU:
TOFFEE-DataCenter screenshots on a Dual CPU - Intel(R) Xeon(R) CPU E5645 @ 2.40GHz - Dell Server