About Mozzen

Maximizing Hardware Resources

Ehopii is a scalable load balancing application for streaming digital content. Built to handle any amount of stream load and maximizing your hardware resources.

Save Money with Ehopii

One single price - just add servers! Imagine a clustered streaming network that is built to serve from 10,000 to over 100,000 simultaneous streams.

Master Server and Leafs

Ehopii enables broadcasters to stream digital content to massive amounts of viewing receivers at the same time. Includes a Master server and more Leafs (secondary servers).

Designed for any size audiences

Ehopii automatically redirects load from the Master server to the Leaf servers (e-hops) as traffic loads increase. Everything is monitored by Ehopii and automatically balanced through Ehopii.

Easily Scales as you grow

Start with one Master server and add Ehopii Leaf servers as you grow. Deployment of additional Leafs may be added to your network as more traffic comes online.

High Demand Streaming - OK!

Ehopii guarantees that your streaming network honors real time requests for your digital assets. Ehopii has real-time reports used to forecast your future equipment needs.

How It Works Features

Grow your audience from hundreds to thousands of users

Low cost solution that allows you to grow your audience from hundreds to thousands of users transparently. We do this by adding servers to the streaming architecture on the fly, without downtime. Our centralized diagnostic system will foresee that your application is soon to run out of steam and will automatically power up a server that's waiting in stand by.
Flexible System

Flexible - the system can make use of a various area of resources, including our servers, your own servers, third party or affiliates. Extra servers can also be installed in key geographic locations or inside organizations' networks.
Intelligent System

Intelligent - unlike traditional round-robin DNS and primary/backup clustering solutions Ehopii makes use of advanced algorithms to monitor and predict servers' load and users' affinities. Based on this information incoming connections will be routed to the least busy server machines and users that interact more with each other will be redirected on the same physical machines to minimize lags introduced by server to server communication.
No single point of failure

In case a hardware breakdown or network outage happens to one of the servers the interrupted and new clients will be redirected to the other servers. The application as a whole will not experience a downtime as 80% to 100% of the formerly disconnected clients can make use of the reserve processing power and resources of the other servers in the cluster until the problem solved or a new machine is powered up and included in the cluster.