Difference between Multi Level Queue (MLQ) Scheduling and Round Robin (RR) algorithms
Last Updated :
10 May, 2025
Queue Scheduling refers to the process of managing and organizing tasks (or processes) that need to be executed by a system. In an operating system, tasks are often placed in queues waiting for CPU to execute them. Queue scheduling helps the system decide which task to run next, and in what order, ensuring efficient and fair use of CPU.
Multi Level Queue Scheduling (MLQ)
Multilevel Queue(MLQ) CPU scheduling is a type of scheduling that is applied at the operating system level with the aim of sectioning types of processes and then being able to manage them properly. As with the MQ Series, processes are grouped into several queues using MLQ based on known parameters such as priority, memory, or type. Every queue has its scheduling policy and processes that are in the same queue are very similar too.
Generally, the topmost level of queue has the highest priority which decreases as we move to the lower levels. If the upper level has an absolute priority over lower levels then it is non-preemptive else if the time slice is divided between various queues then it becomes preemptive in nature.
MLQAdvantages of Multilevel Queue CPU Scheduling
- Customizable: The scheduling algorithm can be customized to meet the specific requirements of different types of processes.
- Prioritization: Priorities are assigned to processes based on their type, characteristics, and importance, which ensures that important processes are executed in a timely manner.
Disadvantages of Multilevel Queue CPU Scheduling
- Some processes may starve for CPU if some higher priority queues are never becoming empty.
- It is inflexible in nature.
- There may be added complexity in implementing and maintaining multiple queues and scheduling algorithms.
Round Robin
Round Robin Scheduling is a method used by operating systems to manage the execution time of multiple processes that are competing for CPU attention. It is called round robin because the system rotates through all the processes, allocating each of them a fixed time slice or quantum, regardless of their priority. This algorithm mainly depends on the time quantum.
Round Robin Scheduling FlowchartVery large time quantum makes RR same as the FCFS while a very small time quantum will lead to the overhead as context switch will happen again and again after very small intervals. The major advantage of this algorithm is that all processes get executed one after the other which does not lead to starvation of processes or waiting by process for quite long time to get executed.
Advantages of Round Robin Scheduling
- Fairness: Each process gets an equal share of the CPU.
- Simplicity: The algorithm is straightforward and easy to implement.
- Responsiveness: Round Robin can handle multiple processes without significant delays, making it ideal for time sharing systems.
Disadvantages of Round Robin Scheduling
- Overhead: Switching between processes can lead to high overhead, especially if the quantum is too small.
- Underutilization: If the quantum is too large, it can cause the CPU to feel unresponsive as it waits for a process to finish its time.
Difference between MLQ and Round-Robin (RR) scheduling algorithm
Aspect | Multilevel Queue (MLQ) | Round-Robin (RR) |
---|
Scheduling Approach | Executes processes based on the priority of the queue and the algorithm used in that queue. | Executes each process for a fixed time quantum in a cyclic manner. |
Preemption | Can be both preemptive and non-preemptive depending on the configuration. | Always preemptive in nature. |
Average Waiting Time | Depends on the combination of algorithms used across multiple queues. | Generally lower and depends on the time quantum. |
Implementation Complexity | Complex and difficult to implement. | Simple and easy to implement. |
Starvation | Lower priority processes may suffer from starvation. | All processes get CPU time, so starvation is unlikely. |
CPU Time Allocation | Uneven depends on queue priority and algorithm. | Fair each process gets equal CPU time in turns. |
Overhead | Switching between queues introduces overhead. | Too small a time quantum can cause high overhead due to frequent context switches. |
Similar Reads
What is OSI Model? - Layers of OSI Model The OSI (Open Systems Interconnection) Model is a set of rules that explains how different computer systems communicate over a network. OSI Model was developed by the International Organization for Standardization (ISO). The OSI Model consists of 7 layers and each layer has specific functions and re
13 min read
Introduction of ER Model The Entity-Relationship Model (ER Model) is a conceptual model for designing a databases. This model represents the logical structure of a database, including entities, their attributes and relationships between them. Entity: An objects that is stored as data such as Student, Course or Company.Attri
10 min read
DBMS Tutorial â Learn Database Management System Database Management System (DBMS) is a software used to manage data from a database. A database is a structured collection of data that is stored in an electronic device. The data can be text, video, image or any other format.A relational database stores data in the form of tables and a NoSQL databa
7 min read
TCP/IP Model The TCP/IP model (Transmission Control Protocol/Internet Protocol) is a four-layer networking framework that enables reliable communication between devices over interconnected networks. It provides a standardized set of protocols for transmitting data across interconnected networks, ensuring efficie
7 min read
Types of Network Topology Network topology refers to the arrangement of different elements like nodes, links, or devices in a computer network. Common types of network topology include bus, star, ring, mesh, and tree topologies, each with its advantages and disadvantages. In this article, we will discuss different types of n
12 min read
Normal Forms in DBMS In the world of database management, Normal Forms are important for ensuring that data is structured logically, reducing redundancy, and maintaining data integrity. When working with databases, especially relational databases, it is critical to follow normalization techniques that help to eliminate
8 min read
Operating System Tutorial An Operating System(OS) is a software that manages and handles hardware and software resources of a computing device. Responsible for managing and controlling all the activities and sharing of computer resources among different running applications.A low-level Software that includes all the basic fu
4 min read
Computer Network Tutorial A Computer Network is a system where two or more devices are linked together to share data, resources and information. These networks can range from simple setups, like connecting two devices in your home, to massive global systems, like the Internet. Below are the main components of a computer netw
7 min read
ACID Properties in DBMS In the world of DBMS, transactions are fundamental operations that allow us to modify and retrieve data. However, to ensure the integrity of a database, it is important that these transactions are executed in a way that maintains consistency, correctness, and reliability. This is where the ACID prop
8 min read
Types of Operating Systems Operating Systems can be categorized according to different criteria like whether an operating system is for mobile devices (examples Android and iOS) or desktop (examples Windows and Linux). Here, we are going to classify based on functionalities an operating system provides.8 Main Operating System
11 min read