Introduction
Job scheduling is the challenge of arranging jobs with set deadlines to optimize profit. The key goal is to determine the job sequence that maximizes completion within the time limit. It's a well-known greedy algorithm-based problem with numerous real-world applications. Job scheduling is the process of executing certain jobs at a predetermined time or when the appropriate event occurs. A task scheduler is a software system that can be coupled with other systems to execute or inform other software components when a predetermined, scheduled time arrives.
The primary goals of job scheduling algorithms are to reduce resource scarcity and promote fairness among those who use the resources. Scheduling is concerned with determining which of the pending requests will receive resources.
Need for Job Scheduling algorithm
Enterprise task scheduling benefits your bottom line for various reasons, including increased overall efficiency, improved customer service, and more time spent on high-level strategy. The elimination of unnecessary downtime is one area where an enterprise job scheduler is particularly useful.
Problem
You are given a series of n jobs, each with a deadline and a profit attached. Only one work can be planned at a time, and each job takes one unit of time to accomplish. If and only if the project is finished before the deadline, we gain the profit linked with it. Find the most profitable job scheduling for the provided jobs.
Solution
To understand this problem's solution, one should be aware of the greedy algorithm and Priority queue.
Greedy algorithm
Greedy is an algorithmic paradigm that takes the approach of choosing the locally best decision at each stage to the globally best solution. A greedy algorithm always selects the best immediate or local solution when achieving the final answer. To get more insights about greedy algorithms, you can refer to our greedy algorithm path from code studio.
A priority queue is a form of the queue in which each entry has a priority value assigned to it. In addition, items are served in order of importance. That is, the elements with the highest priority are served first. If elements with the same priority appear, they are served in the order they appeared in the queue. To get a better understanding in deep, you can check out our blogs on heap form code studio.
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