Mobile devices like smartphones and tablets are superseding traditional desktop PCs as the primary medium for accessing the internet. The rising popularity of third-party applications, mobile apps, contributes to the heavy increase in data volume in wireless communications networks. In just a few days time it is being predicted that the Internet of Things(IoT) will determine everyday life, for example through home automation, wearables, and connected cars, creating additional, difficult-to-control data traffic in an operator’s network.
Incorrectly configured IoT device or faulty apps on a mobile device can produce excessive IP data traffic and drain device batteries, even when the devices are not actively used. Users and operators experience high data volumes or rapidly discharging batteries. However, they generally cannot detect the cause. It can take the device vendor or the network operator a very long time to find the real cause of such effects.
The goal of any network optimization is with the given set of constraints ensuring an optimal network design with the lowest cost structure and free flow of data. Network optimization should be able to ensure optimal usage for system resources, improve productivity as well as efficiency for the organization. Network optimization looks at the individual workstation up to the server and the tools and connections associated with it. Large organizations make use of teams of network analysts to optimize networks. Network optimization often makes use of traffic shaping, redundant data elimination, data caching and data compression and streamlining of data protocols. Network optimization must be able to boost network efficiency without acquiring additional or expensive hardware or software.
There are many benefits of network optimization. It can help in faster data transfers including bulk data transfer, disaster recovery capabilities, reducing bandwidth expenses and also improving response times for interactive applications like databases and software applications. It also improves the performance of applications with better bandwidth and helps in maximizing network speeds between remote locations.
The continuous optimization of Microsoft Office, PDF and image files on the server is not only reducing the size of these files, but it is also significantly reducing the bandwidth in use for the communication of these files. Organizations can transmit the exact same "information" in much fewer megabytes and gigabytes. This reduces the network traffic for sending, storing and uploading Microsoft Office, PDF and image files. Bandwidth bottlenecks caused by a few single but gigantic files are avoided through the systematic optimization of these files using the FILEminimizer technology. The existing bandwidth capacity is used more efficiently, with the same data throughput rate, more "information" can be transferred. Costs for overall bandwidth can be significantly reduced.