Our latest case study got picked up by an analyst at Light Reading. We are surprised and happy as we were not expecting this coverage. As cloud gaming is taking off with Stadia launch last week, latency in gaming is seen as a major roadblock to great player experience.
We were invited to present at Global Edge Congress in Austin Texas this week. Our CEO talked about how Edgegap is working with gaming studios to leverage edge computing infrastructures and provide unique services with a unique goal in mind: improve player’s experience.
We got to cover a few topics, including cloud gaming and why lag will not go away. Edgegap is featured in the congress magazine, thanks for BroadGroup for doing such and setting up this great event.
We are invited to speak at EdgeCon America in Austin, TX this year. On Nov. 5th our CEO Mathieu Duperre will present his perspective and economics on the gaming industry and how edge computing can leverage this enormous market. Join us and come meet to have a chat about how we can help you monetize your infrastructure.
One of our partner released a case study about our unique solution to defeat lag in the video game industry. We are linking the case study here. For us it is a clear sign that edge computing will only succeed globally if partners are creating such ecosystem.
Montreal, Sept. 18th 2019 – Edgegap successfully executed a proof
of concept with Ubisoft to demonstrate how Edgegap solution can lower latency
by 58% in gaming. By using traffic from 600,000 transactions and comparing
the results with Ubisoft current architecture, Edgegap demonstrated an average
latency reduction from 116 milliseconds to a drastic 48 milliseconds. On top of
that, 78% of the transactions had a latency below 50 milliseconds, compared to
only 14% without Edgegap solution.
Edge Computing to
computing is a new type of infrastructure where smaller data centers are
deployed in multiple locations, closer from users, instead of centralizing
large data centers. This allow for lower latency by reducing the distance but
bring a new set of challenges by dealing with multiple locations. Edgegap
provides a solution to handle those infrastructures. Ubisoft
shared data from 600,000 transactions for one of their AAA games, Far Cry 5.
Using its patented technology, Edgegap utilized its
platform in parallel to compare the results between Ubisoft current
architecture and Edgegap, for the same group of players.
Using edge computing, Edgegap dynamic
orchestrator was able to geo-locate server instances based on telemetry and
live measurements, bringing servers closer
from each group of player. This resulted in an improved
players’ experience by lowering latency,
reducing jitter and packet drop. This dynamic approach would not have
been possible without Edgegap dynamic orchestrator.
Eliminate the “long tail”
While it is impossible to eliminate lag, Edgegap can drastically reduce its effect. The goal is to improve players’ experience as much as possible by leveraging dynamic infrastructures. By using Edgegap unique solution, we are able to eliminate the “long tail”, those players who typically get an average latency above an acceptable threshold, considered to be around 80-100 milliseconds for casual gamers. Edgegap is able to increase the amount of people with a latency below 50ms, providing an equivalent experience to everyone in the game.
Reach out to firstname.lastname@example.org to find out
more about how we can help you reduce lag in your game.
Edgegap is a software startup based in Montreal,
Canada, which specialized in software development for edge and cloud
computing. To find out more about Edgegap and Arbitrium, visit http://www.edgegap.com
We were invited to speak at the 2019 Edge Computing Congress in London. On Sept. 18th, our CEO Mathieu Duperre presented his perspective on the gaming industry and edge computing. His session happened on the same day where we announced our latest case study with Ubisoft (which you can find here: http://www.edgegap.com/Report-Ubisoft.pdf)
We have been working with the well-known gaming studio Ubisoft, here in Montreal, on measuring by how much our solution can improve player’s experience. After a few months of work, the results are finally in, and they are beyond expectations!
We were able to reduce the average round trip time by 58%. We improved player’s experience 95% of the time. We’ve increased the percentage of players within the group of “great latency” by a wide margin. This means that without Edgegap’s solution, only 14% of the player had below 50ms, while Edgegap would have allowed 78% of them to get under this threshold.
Huge thanks to the team at Ubisoft for helping us and providing the right feedback throughout the process!
We are thrilled to announce that Hewlett Packard Enterprise is planning to demo our software, Arbitrium, integrated with HPE Service Director during the following events! Check with us, service providers may be able to get a live demo on how they can monetize their infrastructures through edge computing use cases! Let us know if you are planning to attend, we will be glad to book a private session!
tmforum, Digital Transformation North America, Dallas, Sept. 23rd-27th 2019
SDN NFV World Congress, The Hague, Netherlands, Oct. 14th-17th 2019
tmforum, Digital Transformation Asia, Nov. 12th-14th
Let’s make it simple: we are bringing the deployment of game instances and players experience to a whole new level by reducing the average latency per match by 33% and improving stability all over the network by a whooping 77%. How did we achieve this? Dynamic decision making & Edge computing my friends!
Imagine you and your friend want to play a multiplayer online game but there is a problem, your friend lives in San Francisco and you in Toronto… He tells you: “Lets go on West Coast server!” and now he is having a lot of fun with his 30ms latency… but you don’t because you lag, and you are having a hard time to only move in the game… You tell your friend “Sorry, I can’t play, it lags too much, let’s move to the Eastern Server!” … and I let you guess what happens next. Same can happen in a competitive context where you decide to play a ranked game of your favorite title and by any luck your opponent resides right beside the server because he lives in one of the main city and you, peasant, live in a quiet nice town far away. Let me tell you what’s going to happen, you will turn the corner of a wall and : *DEAD*… you will ear steps sounds behind you but by the time you try to react : *DEAD*, you will get angry, the other guy will tell you that you are a “noob”, you will rage quit and stop spending time and money on this “stupid” game. In fact, this was not your fault, simply because he had 25ms of latency and you were around 65ms…
You see this is one of the use cases that Cloud computing can’t resolve without spending billions of dollars to build new infrastructures everywhere in the world… but, oh wait! Those infrastructures already exist since service providers, private clouds and other Edge infrastructures are already in place. Now imagine that you can use every single one of those edge sites to deploy in a blink of an eye your server to play with your friend right in the best spot for both of you. You might not have a 30ms latency for both since no one can bend law of physics by accelerating the speed of light, but at least both of you will be able to enjoy a great game with minimal impact coming from the network, and equivalent outcome making it fair for everyone.
But let me guess, you want proof that what I say is true? Using our decision-making software, we successfully managed to gather enough data from every request made in our system to show the improvements you get by leveraging game instances directly to the Edge. Using real-time telemetry from 1000 players connected in 100 matches, we were able to measure and demonstrate by how much and where we can improve your player’s experience.
You can see below the graph of the standard distribution we get from our data:
Coincidence? I think not! Those are facts and confirm what Edge computing can bring to your players: satisfaction and happiness! Speaking of which, we calculate the “happiness” of a user by comparing latency, jitter, packet drop and environment context during a request to our system. Click here to see a full report of our case study with 1000 players showing by how much we can improve their experiences: