Internet load balancing is a method of distributing Internet traffic across multiple connections to improve performance and reliability. The method saves costs compared to a single ISP link. Modern load balancing algorithms provide more precise granularity, enabling package-level aggregation and simultaneous use of multiple links. It is important to check whether the load balancer supports the broadband binding for efficient aggregation. In addition, a load balancer should provide firewall, Quality of Service (QoS), traffic monitoring, and traffic shaping features. Efficiency and low latency are critical for optimal performance. Benchmarking and testing the performance of the load balancer is recommended.
Tag: Data
General Data Protection Regulation (GDPR) is a legislation that regulates the protection of personal data and the privacy of EU citizens. The GDPR aims to provide individuals with the safety and assurance that their personal data is protected. Organizations strive for openness about the collection, use and processing of data.
SpaceX, Elon Musk’s space company, is allowed to expand the Starlink network with 7,500 new satellites. The company had requested permission to launch 30,000 satellites, but the US regulator FCC did not want to go that far yet.
SpaceX, Elon Musk’s space company, is allowed to expand the Starlink network with 7,500 new satellites. The company had requested permission to launch 30,000 satellites, but the US regulator FCC did not want to go that far yet.
Starlink is a satellite network from the U.S. space company SpaceX for providing Internet anywhere in the world. The network is especially suitable for areas where Internet access via a fixed connection is not available and mobile connections are unattractive due to range. Also, Starlink can perfectly serve as a backup connection to ensure continuity of Internet access for when the standard Internet connection fails.
When implementing large-scale IoT trajectories, the many factors in the context can create a problem with scaling. If there is no control over the costs for the data transfer or unreliable data in the initial stage, this can lead to high unforeseen costs. In addition, there are different ways to collect data from ‘devices’ and push updates to the same ‘devices’. Each method presents different challenges and a different cost structure.
With thousands of ‘devices’ and millions of messages, the costs per ‘device’ or per unit of data can add up. Only allowing data transfer to take place when it is really necessary should be the starting point. One solution is to process data at the edge of the network and only send the data when necessary. Another approach is to opt for a message standard that builds up and sends small data units at all times.
Making IoT data quickly accessible and transparent. Once IoT data is available and accessible, understandable and valuable information must emerge. The visualization of the IoT data must also be clear and develop (link together) in order to provide more and more answers. It is also important that the data and the insights from it are shared within an organization. When this happens, data becomes even more valuable. As a result, more employees in an organization will actively participate in decision-making based on this IoT data.
Starlink is a satellite network from the U.S. space company SpaceX for providing Internet anywhere in the world. The network is especially suitable for areas where Internet access via a fixed connection is not available and mobile connections are unattractive due to range. Also, Starlink can perfectly serve as a backup connection to ensure continuity of Internet access for when the standard Internet connection fails.
A data ecosystem is a collection of infrastructures, analytics, and applications used to capture and analyze data. Data ecosystems provide organizations with data they rely on to better understand their customers and make better pricing, operations and marketing decisions. The term ecosystem is used instead of “environment” because, like real ecosystems, data ecosystems are meant to evolve over time.
When implementing large-scale IoT trajectories, the many factors in the context can create a problem with scaling. If there is no control over the costs for the data transfer or unreliable data in the initial stage, this can lead to high unforeseen costs. In addition, there are different ways to collect data from ‘devices’ and push updates to the same ‘devices’. Each method presents different challenges and a different cost structure.
With thousands of ‘devices’ and millions of messages, the costs per ‘device’ or per unit of data can add up. Only allowing data transfer to take place when it is really necessary should be the starting point. One solution is to process data at the edge of the network and only send the data when necessary. Another approach is to opt for a message standard that builds up and sends small data units at all times.