The concept of distributed computing systems is relatively new. However, it has already gained immense popularity among modern-day tech businesses. This popularity is because distributed computing systems are easy to implement and offer a range of benefits that can help any business. This article will help to understand why they make sense for your business.
What is a Distributed Computed System?
A distributed computing system is a collection of independent computers that share common resources. It can be viewed as the union of all the individual nodes in the network. Each node can perform processing and storage operations using its processor, memory, mass storage devices, and network connections.
The fact that there are multiple machines rather than one large device means they will have different characteristics, such as other processing speeds or memory sizes.
A distributed computing system is one in which servers are distributed to multiple locations. Generally speaking, the servers are connected via the internet and can be located anywhere in the world. Of course, the number of servers required for your business will depend on the nature of your service. Still, you can add or remove as many as needed when using a cloud-based platform like AWS or Azure. You do not have to worry about purchasing additional hardware.
It is crucial to understand that many businesses depend on cloud computing platforms for physical processes. But, they also require these tools to manage their digital activities effectively. It could be established from the fact that the cloud computing market is expected to reach $1,712.44 billion by 2029 from $480 billion in 2022.
One of the most important aspects of distributed computing is that it allows data to spread over multiple machines. It is called data replication, meaning that if one device fails, it can still access the data from another source. The other benefit of having replicated data is redundancy. For example, suppose you have multiple copies of your information in different locations worldwide. In that case, you're less likely to lose all of your work in case something goes wrong with any single computer or network connection.
Businesses with large amounts of data can ensure that their information remains safe even if something goes wrong at one location.
Suppose someone wants access to these records from anywhere else worldwide via their mobile phone or laptop computer; there will be no problem. Because those files aren't stored locally anymore; instead, they're saved securely and can be retrieved easily.
Parallel processing is a way to speed up the processing of a task by splitting it into smaller tasks and completing them simultaneously. It can be done on a single computer or multiple computers, depending on what you're trying to achieve with your parallel computing system.
Some examples of parallel processing include:
- Multithreading: when multiple tasks are being performed at once, the operating system will split these tasks into different threads so that they can run simultaneously. It is used for many applications today, including web browsers and word processors.
- Multiprocessing: this includes systems with multiple CPUs in one machine working together instead of just one CPU, as you might see in most PCs today. It's common for large-scale servers (databases) to have several CPUs working together to quickly process large amounts of data. Users don't notice any slowdowns due to waiting for their requests.
Fault tolerance is a feature of distributed systems that allows the system to continue operating even if a node fails. Fault tolerance is one of the main advantages of distributed systems, as it ensures that your business will not be disrupted by faulty hardware or software.
It must have happened to you once at home when you tried to open an important file on your computer, but that did not occur as the disc drive was damaged and required replacement. This experience wouldn't have happened if there had been fault tolerance. It would have helped another file copy to get saved on a different computer on a network and accessed instead.
The flexibility of a distributed system is its ability to adapt to changing conditions. It can be attributed to the fact that it allows for adding new components and resources efficiently. Then, side by side, it takes away unused ones.
In contrast, a centralized system has no such capacity for change because all components and resources are fixed in one place. Thus, if something goes wrong with your central server or storage facilities, you will have no choice but to handle it via backup systems or by replacing the entire unit.
According to the most recent prediction from Gartner, global end-user expenditure on public cloud services would increase by 20.4% in 2022 to reach $494.7 billion. It will be up from $410.9 billion in 2021. In addition, Spending by end users is projected to reach around $600 billion in 2023.
The cloud computing revolution, which has been taking place for the last few years, is a significant boon for modern-day tech businesses. With this technology, you can use the resources of remote servers to host your software and data rather than having to set up and maintain your server infrastructure.
Cloud computing is cheaper than setting up your servers because it reduces the need for on-site hardware or software maintenance. It's also more flexible because you don't have to worry about where your computer is physically located, as long as it has internet access. Or whether there are any power outages in your area that might cause problems with running systems locally.
According to Forbes, an outside attacker may penetrate an organization's network perimeter and acquire access to local network resources in 93% of situations. Distributed computing systems are also known to improve the security of your data. It is because they bring in a new level of protection against cyber-attacks, fraudulent activities, and data breaches.
Data loss or corruption is also reduced when you use this system, as you can always look back on previous versions of your files and restore them if needed. Not only that, but these systems can detect any changes made by malicious users and help prevent further damage.
With all these benefits combined, you can see why distributed computing systems are becoming increasingly popular among modern-day tech businesses.
Distributed Computing Systems Can Save Money and Speed up Processes
Distributed computing systems can save businesses money by reducing the number of servers needed. They can also speed up processes by distributing the workload across multiple servers. Finally, they are more flexible because they can be scaled up or down as needed.
It's important to note that a distributed system is not an all-or-nothing proposition. You don't need to implement it entirely; you can take advantage of some features for your business needs. For example, you may find that you only need one backup server instead of five or six. It would be like using just one slice of a cake rather than eating the whole thing yourself.