Processor Scheduling
Apple’s operating system, iOS, is complex regarding the algorithm relating to processor scheduling. Processor scheduling ensures that the processor’s power is allocated to different tasks to be fulfilled. However, the difficulty and complexity of the iOS processor schedule are linked to the process in which specific tasks are prioritized over others.
First, it is important to notice that the processed threads are classified according to their importance. Since the iPhone operating system is older than several rivals, the classification algorithms are well-established and based on evidence (Adekotujo, Odumabo, Adedokun, & Aiyeniko, 2020). After specific threads are prioritized over others, the processor allocates power to those over other actions that still have to be exemplified yet are not urgent.
After the initial threats are partially addressed, their priority may decrease. Thus, the processor’s power is allocated to threads initially of secondary priority but elevated after the primary activities have been partially executed. The threads that are either important or require a long time to be addressed are primary.
In contrast, the algorithm does not prioritize jobs that require a short time for execution in preemptive scheduling. The opposite approach is applied in non-preemptive scheduling. The iPhone operating system continues to develop and acquire new features and algorithms. Thus, developers are investing in generating more efficient ways for the processor to deal with multiple activities in the most time and power-efficient way (Durbhakula, 2018). As a result, processor scheduling is currently efficient yet continuously evolving.
Memory Management
iOS memory management, similar to processor scheduling, is a complex area based on algorithms optimizing the device’s work. However, while processor scheduling aligns with the task of prioritizing threads, memory management is the field responsible for the lifecycle of objects. Memory processes in iPhones run based on Automatic Reference Counting (Memory Management, 2018).
In this case, ARC is assigned the objective of tracking the references to a particular object and the content of said references. In case said references are cleared, the object’s memory is freed. In contrast, if the number of references increases, the memory is retained. As a result, iOS ensures that the memory is not overfilled with unnecessary information that has no meaning in the operation of the device or for the user.
Similarly, the process of memory management in iPhones is linked to the management of running processes. Namely, for the operations to be exemplified smoothly and with no delay, memory is allocated so that the operations are carried out successfully. Apple also provides opportunities to optimize memory usage. The user can manage the storage of different apps that run on the device and the cache correlating with each app.
Like the previously mentioned processor scheduling, memory management is a complex process constantly being addressed with updated algorithms and measures. As a result, the company can ensure that their devices are optimal, and users can avoid memory problems that can negatively impact how their smartphone operates on a daily basis.
References
Adekotujo, A., Odumabo, A., Adedokun, A., & Aiyeniko, O. (2020). A comparative study of operating systems: Case of Windows, Unix, Linux, Mac, Android, and IOS. International Journal of Computer Applications, 176(39), 16-23. Web.
Durbhakula, S. M. (2018). OS Scheduling Algorithms for Improving the Performance of Multithreaded Workloads. Distributed, Parallel, and Cluster Computing.
Memory management. (2018). Web.