Resource allocation in your computing environment
Computing resources are not infinite and must be allocated intelligently and efficiently. Resources such as CPU power, memory, and disk space are limitations in any computing environment. In a personal computing environment, you would run out of disk space if you had an extremely large collection of music, or an extremely large collection of movies or other media.
Similarly, at the enterprise level, if there were extensive duplication of data, such as the same files stored on different computers, the disk space resource would be used quickly, resulting in inefficient use of disk space as they replicated the same data. This can be solved by purchasing a virtual storage disk and having all computers access the data on that storage disk. Of course, other issues would arise, such as which user could edit the file, and which user edits would outperform other users’ edits. Solving these problems would be much more efficient in terms of resource allocation than duplicating data in computing environments.
Another computing resource is the processor. A central processing unit (CPU) (formerly also known as a central processing unit) is the hardware within a computer that carries out the instructions of a computer program by performing the basic arithmetic, logic, and I / O operations of the system. . Currently, almost all CPUs are multiprocessing, that is. they have multiple processing units within them and can process multiple tasks at once. In addition, the processing performance of computers is increased through the use of multicore processors, which essentially connect two or more individual processors in an integrated circuit. Ideally, a dual-core processor would be almost twice as powerful as a single-core processor. Despite having made significant progress in advancing processing power, a single task can lock in all the processing power of a computing environment and block other tasks if CPU power is not allocated efficiently. For example, if you told the computer to calculate the largest possible prime number (which is essentially impossible to do), the computer’s CPU would be locked to infinity.
An efficient way to allow a computer system to operate at an efficient capacity is to allocate resources to different users. Another way is to assign each user a percentage of the resources. For example, if there are 5 users and 5 GB of available disk space, you can allocate 10% to each user, regardless of what that user uses, ie. 500MB regardless of actual usage, or alternatively you can allocate the full 5GB to each user and monitor activity and place restrictions based on usage patterns. Every computing environment is different and decisions must be based on unique facts and user usage patterns.
CPU allocation is more complicated, if there are several users using the same computing environment and some users have time-critical processes, such as: payment gateway systems, if one user hogs all the CPU, the other users may be left blocked. Consequently, a fixed CPU allocation would be beneficial in such cases. However, the CPU is much more difficult to scale, that is. You cannot install new chips in a machine as easily as you can install new disk space, so if you anticipate a growing user base, it is impractical to allocate a fixed CPU to each user. In such cases, you must assign a percentage to each user. For example, many web hosting companies reduce the CPU usage on their website once it crosses a certain percentage of the total available computing power.
Above all, webmasters and administrators need to be aware of resource allocation issues and issues and address them in a timely and logical manner.