{"id":111746,"date":"2026-05-21T10:29:26","date_gmt":"2026-05-21T04:59:26","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=111746"},"modified":"2026-05-21T10:29:29","modified_gmt":"2026-05-21T04:59:29","slug":"disk-scheduling-algorithms-in-os","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/disk-scheduling-algorithms-in-os\/","title":{"rendered":"Disk Scheduling Algorithms in OS: Complete Beginner\u2019s Guide"},"content":{"rendered":"\n<p>Modern operating systems handle multiple input\/output requests at the same time. When several processes request access to data stored on a disk, the system must decide which request should be served first. Without proper scheduling, disk movement increases, access time becomes slower, and overall system performance drops. This is where disk scheduling algorithms help. They optimize the movement of the disk head, reduce waiting time, and improve storage efficiency.<\/p>\n\n\n\n<p>Read this blog to understand disk scheduling algorithms, their types, advantages, limitations, and real-world applications.<\/p>\n\n\n\n<p><strong>Quick Answer: <\/strong><\/p>\n\n\n\n<p>Disk scheduling algorithms are techniques used by operating systems to decide the order in which disk I\/O requests are processed. They help reduce seek time, improve disk performance, and manage multiple read\/write requests efficiently. Common disk scheduling algorithms include FCFS, SSTF, SCAN, C-SCAN, LOOK, and C-LOOK.<\/p>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\">\n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong> \n  <br \/><br \/> \n  <ul style=\"margin: 0; padding-left: 20px;\">\n    <li>Modern enterprise <strong style=\"color: #FFFFFF;\">HDDs<\/strong> can perform around <strong style=\"color: #FFFFFF;\">100\u2013250 IOPS<\/strong> (Input\/Output Operations Per Second), making efficient disk scheduling essential for improving storage performance.<\/li>\n    <li>Studies show that <strong style=\"color: #FFFFFF;\">seek operations<\/strong> can contribute over <strong style=\"color: #FFFFFF;\">50% of total disk access time<\/strong> in traditional magnetic hard drives.<\/li>\n    <li>Global data creation is expected to exceed <strong style=\"color: #FFFFFF;\">394 zettabytes by 2028<\/strong>, increasing demand for optimized storage systems and efficient <strong style=\"color: #FFFFFF;\">I\/O scheduling mechanisms<\/strong>.<\/li>\n  <\/ul>\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>What are Disk Scheduling Algorithms in OS?<\/strong><\/h2>\n\n\n\n<p>Disk Scheduling Algorithms in operating systems are scheduling techniques used to determine the sequence in which pending disk I\/O requests are serviced. Since magnetic disks involve mechanical head movement, the operating system aims to minimize seek time, rotational latency, and access delay. These algorithms optimize disk head movement across tracks to improve throughput, reduce response time, prevent starvation, and enhance overall storage subsystem performance under multi-process workloads.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Key Characteristics of Disk Scheduling Algorithms<\/strong><\/h2>\n\n\n\n<ul>\n<li><strong>Sequential Request Servicing:<\/strong> Disk scheduling algorithms in <a href=\"https:\/\/www.guvi.in\/blog\/introduction-to-operating-systems\/\" target=\"_blank\" rel=\"noreferrer noopener\">operating systems<\/a> process multiple pending disk I\/O requests by determining a specific execution sequence rather than servicing requests randomly.<\/li>\n\n\n\n<li><strong>Disk Head Position Awareness:<\/strong> Scheduling decisions are made based on the current location of the read\/write head and the track positions of pending requests.<\/li>\n\n\n\n<li><strong>Track and Cylinder Dependency:<\/strong> Algorithms operate using track numbers and cylinder locations to calculate movement distance and servicing order.<\/li>\n\n\n\n<li><strong>Head Movement Calculation:<\/strong> Most algorithms compute the distance between the current head position and target tracks to determine the next request.<\/li>\n\n\n\n<li><strong>Queue Reordering Capability:<\/strong> Algorithms such as SSTF, SCAN, and LOOK rearrange pending requests to reduce overall head movement and seek operations.<\/li>\n\n\n\n<li><strong>Bidirectional or Unidirectional Traversal:<\/strong> Certain algorithms move the disk head in both directions (SCAN), while others follow a single-direction circular movement (C-SCAN).<\/li>\n\n\n\n<li><strong>Mechanical Delay Optimization:<\/strong> Disk scheduling specifically targets reduction of seek delay and rotational waiting caused by physical disk movement.<\/li>\n\n\n\n<li><strong>Request Arrival Adaptation:<\/strong> The scheduling process continuously adapts as new I\/O requests enter the disk request queue during execution.<\/li>\n\n\n\n<li><strong>Support for Concurrent I\/O Requests:<\/strong> Algorithms are designed to manage multiple simultaneous disk access requests generated by multitasking operating systems.<\/li>\n\n\n\n<li><strong>Dependence on Storage Architecture:<\/strong> Performance characteristics vary across HDDs and SSDs since traditional scheduling heavily depends on mechanical movement behavior.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Goals of Disk Scheduling Algorithms<\/strong><\/h2>\n\n\n\n<ol>\n<li><strong>Minimize Seek Time:<\/strong> Seek time refers to the time required for the disk arm to move the read\/write head from its current track to the target track. Since mechanical head movement is one of the most expensive operations in traditional disk systems, disk scheduling algorithms aim to minimize unnecessary traversal across cylinders. Reducing seek distance directly improves access speed and overall I\/O efficiency.<\/li>\n\n\n\n<li><strong>Maximize Throughput:<\/strong> Throughput represents the total number of disk I\/O requests completed within a specific period. Efficient scheduling algorithms process requests in an optimized sequence to reduce idle time and excessive head movement, allowing the system to serve more read and write operations and improve storage subsystem performance.<\/li>\n\n\n\n<li><strong>Minimize Latency:<\/strong> Disk access latency consists of seek delay, rotational latency, and request waiting time. Scheduling algorithms aim to reduce the average response time experienced by processes waiting for I\/O operations. Lower latency enables faster data retrieval and improves application responsiveness in multitasking environments.<\/li>\n\n\n\n<li><strong>Ensuring Fairness:<\/strong> Fairness ensures that all pending disk requests receive service without indefinite postponement. Some <a href=\"https:\/\/www.guvi.in\/blog\/what-is-an-algorithm\/\" target=\"_blank\" rel=\"noreferrer noopener\">algorithms<\/a> optimize performance aggressively but can lead to starvation, where distant requests wait excessively long. Effective scheduling mechanisms attempt to balance performance optimization with equitable request servicing.<\/li>\n\n\n\n<li><strong>Efficiency in Resource Utilization:<\/strong> Disk scheduling algorithms improve hardware utilization by minimizing idle periods and optimizing disk arm activity. Efficient resource utilization reduces unnecessary mechanical operations, lowers processing overhead, enhances storage performance, and enables operating systems to manage concurrent workloads more effectively.<\/li>\n<\/ol>\n\n\n\n<p><em>Go beyond learning operating system concepts and build industry-ready software expertise with HCL GUVI\u2019s AI-Powered <\/em><a href=\"https:\/\/www.guvi.in\/zen-class\/ai-software-development-course\/?utm_source=blog&amp;utm_medium=hyperlink&amp;utm_campaign=disk-scheduling-algorithms-in-os-complete-beginners-guide\" target=\"_blank\" rel=\"noreferrer noopener\"><em>Software Development Course<\/em><\/a><em>. Designed for graduates and working professionals to master software development and Generative AI, the program helps you become SDE-ready for top product-based companies. Earn 4 certifications from MongoDB, IITM Pravartak, NSDC, and HCL GUVI, and learn through an industry-focused curriculum with MongoDB as the Official Program Partner.<\/em><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Types of Disk Scheduling Algorithms<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. First Come First Serve (FCFS) Disk Scheduling Algorithm<\/strong><\/h3>\n\n\n\n<p>The First Come First Serve (FCFS) algorithm is a vital <a href=\"https:\/\/www.guvi.in\/blog\/operating-system-concepts\/\" target=\"_blank\" rel=\"noreferrer noopener\">concept in operating systems<\/a>. It processes disk requests strictly in the order they arrive in the request queue. It follows a queue-based approach where the earliest request receives service first.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Requests are inserted into the queue in arrival order.<\/li>\n\n\n\n<li>The disk head moves sequentially from one request to the next.<\/li>\n\n\n\n<li>No optimization of head movement occurs.<\/li>\n<\/ul>\n\n\n\n<p>For example:<\/p>\n\n\n\n<p>Request Queue: 98, 183, 37, 122<br>Initial Head Position: 53<\/p>\n\n\n\n<p>The head moves:<\/p>\n\n\n\n<p>53 \u2192 98 \u2192 183 \u2192 37 \u2192 122<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Simple implementation<\/li>\n\n\n\n<li>Fair request handling<\/li>\n\n\n\n<li>No starvation problem<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>High average seek time<\/li>\n\n\n\n<li>Large head movement possible<\/li>\n\n\n\n<li>Poor performance under heavy workloads<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Shortest Seek Time First (SSTF) Algorithm<\/strong><\/h3>\n\n\n\n<p>Shortest Seek Time First selects the request closest to the current disk head position. Instead of servicing requests in arrival order, it prioritizes minimum head movement.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Calculate seek distance between the current head position and all pending requests.<\/li>\n\n\n\n<li>Select the nearest request.<\/li>\n\n\n\n<li>Repeat until all requests are serviced.<\/li>\n<\/ul>\n\n\n\n<p>Example:<\/p>\n\n\n\n<p>Current head: 53<\/p>\n\n\n\n<p>Request Queue:<\/p>\n\n\n\n<p>98, 183, 37, 122, 14<\/p>\n\n\n\n<p>Distance calculations:<\/p>\n\n\n\n<ul>\n<li>|53\u221298| = 45<\/li>\n\n\n\n<li>|53\u221237| = 16<\/li>\n\n\n\n<li>|53\u221214| = 39<\/li>\n<\/ul>\n\n\n\n<p>The algorithm services track 37 first.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Reduces average seek time<\/li>\n\n\n\n<li>Improves throughput<\/li>\n\n\n\n<li>Better performance than FCFS<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>May cause starvation<\/li>\n\n\n\n<li>Requests far from the current head position may wait indefinitely<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. SCAN Disk Scheduling Algorithm<\/strong><\/h3>\n\n\n\n<p>SCAN moves the disk head in one direction while servicing all requests encountered along its path. Once it reaches the disk boundary, the head reverses direction and services requests in the opposite direction.<\/p>\n\n\n\n<p>Because the movement resembles an elevator, SCAN is commonly called the Elevator Algorithm.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Head moves continuously in one direction.<\/li>\n\n\n\n<li>Services requests while moving.<\/li>\n\n\n\n<li>Reverses direction at disk end.<\/li>\n<\/ul>\n\n\n\n<p>Example:<\/p>\n\n\n\n<p>Head position: 53<\/p>\n\n\n\n<p>Direction: Increasing<\/p>\n\n\n\n<p>Queue:<\/p>\n\n\n\n<p>14, 37, 65, 98, 122, 183<\/p>\n\n\n\n<p>Movement:<\/p>\n\n\n\n<p>53 \u2192 65 \u2192 98 \u2192 122 \u2192 183 \u2192 end \u2192 37 \u219214<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Lower variance in waiting time<\/li>\n\n\n\n<li>Better throughput<\/li>\n\n\n\n<li>Prevents severe starvation<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Extra movement to disk boundary<\/li>\n\n\n\n<li>Some requests may wait longer<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Circular SCAN (C-SCAN)<\/strong><\/h3>\n\n\n\n<p>C-SCAN improves SCAN by servicing requests in only one direction. When the head reaches one end of the disk, it immediately returns to the opposite end without servicing requests during the return movement.<\/p>\n\n\n\n<p>This creates circular servicing behavior.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Service requests only in one direction.<\/li>\n\n\n\n<li>On reaching disk end, jump back.<\/li>\n\n\n\n<li>Resume servicing from beginning.<\/li>\n<\/ul>\n\n\n\n<p>Example:<\/p>\n\n\n\n<p>Head movement:<\/p>\n\n\n\n<p>53 \u2192 65 \u2192 98 \u2192122 \u2192183 \u2192 end \u2192 beginning \u219214 \u219237<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Uniform waiting time<\/li>\n\n\n\n<li>Fair servicing across all tracks<\/li>\n\n\n\n<li>Reduced waiting time variation<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Additional jump movement<\/li>\n\n\n\n<li>More head travel than LOOK variants<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. LOOK Disk Scheduling Algorithm<\/strong><\/h3>\n\n\n\n<p>LOOK improves SCAN by preventing unnecessary movement to the physical end of the disk. Instead of moving to the extreme boundary, the disk head only travels as far as the last request in that direction.<\/p>\n\n\n\n<p>The algorithm &#8220;looks&#8221; ahead before moving further.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Identify the final pending request in current direction.<\/li>\n\n\n\n<li>Stop movement there.<\/li>\n\n\n\n<li>Reverse direction.<\/li>\n<\/ul>\n\n\n\n<p>Example:<\/p>\n\n\n\n<p>Queue:<\/p>\n\n\n\n<p>14,37,65,98,122<\/p>\n\n\n\n<p>Head:<\/p>\n\n\n\n<p>53<\/p>\n\n\n\n<p>Movement:<\/p>\n\n\n\n<p>53 \u219265\u219298\u2192122 \u219237\u219214<\/p>\n\n\n\n<p>Unlike SCAN, it does not move to the disk boundary.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Lower seek time<\/li>\n\n\n\n<li>Less head movement<\/li>\n\n\n\n<li>More efficient than SCAN<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Slightly more complex implementation<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>6. Circular LOOK (C-LOOK)<\/strong><\/h3>\n\n\n\n<p>C-LOOK combines C-SCAN and LOOK principles. The disk head moves only in one direction and stops at the last request rather than reaching the physical disk boundary.<\/p>\n\n\n\n<p>After servicing the last request, the head jumps directly to the first pending request.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Working:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Move in one direction<\/li>\n\n\n\n<li>Service requests up to last request<\/li>\n\n\n\n<li>Jump directly to smallest pending request<\/li>\n<\/ul>\n\n\n\n<p>Example:<\/p>\n\n\n\n<p>53 \u219265\u219298\u2192122 \u219214\u219237<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Reduced seek time<\/li>\n\n\n\n<li>Efficient circular scheduling<\/li>\n\n\n\n<li>Better resource utilization<\/li>\n<\/ul>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Limitations:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Slight implementation complexity<\/li>\n<\/ul>\n\n\n\n<p>C-LOOK often provides better performance than C-SCAN because it avoids unnecessary travel.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. N-Step SCAN Algorithm<\/strong><\/h3>\n\n\n\n<p>N-Step SCAN divides incoming requests into smaller subqueues of fixed size N. Each queue is processed independently using the SCAN algorithm.<\/p>\n\n\n\n<p>This prevents newly arriving requests from continuously affecting the scheduling order.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Reduces queue monopolization<\/li>\n\n\n\n<li>Improves responsiveness<\/li>\n\n\n\n<li>Suitable for large request streams<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. FSCAN Algorithm<\/strong><\/h3>\n\n\n\n<p>FSCAN uses two separate request queues:<\/p>\n\n\n\n<ul>\n<li>Active queue<\/li>\n\n\n\n<li>Waiting queue<\/li>\n<\/ul>\n\n\n\n<p>While one queue undergoes processing using SCAN, newly arriving requests enter the second queue.<\/p>\n\n\n\n<p>After completion, queue roles are swapped.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\"><strong>Advantages:<\/strong><\/h4>\n\n\n\n<ul>\n<li>Avoids arm stickiness<\/li>\n\n\n\n<li>Prevents continuous request interference<\/li>\n\n\n\n<li>Improves queue stability<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Real-World Applications of Disk Scheduling Algorithms<\/strong><\/h2>\n\n\n\n<ul>\n<li><a href=\"https:\/\/www.guvi.in\/blog\/database-management-guide-with-examples\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Database Management Systems<\/strong><\/a><strong>:<\/strong> Large database platforms process thousands of simultaneous read\/write requests for transactions, indexing, query execution, and data retrieval. Disk scheduling helps optimize storage access patterns and reduce I\/O bottlenecks.<\/li>\n\n\n\n<li><strong>Web Server Infrastructure:<\/strong> High-traffic web servers continuously handle file requests, logs, cached content, and media delivery. Disk scheduling improves request servicing efficiency and reduces access delays during concurrent user activity.<\/li>\n\n\n\n<li><strong>Cloud Storage Platforms:<\/strong> Cloud environments manage shared storage resources across multiple virtual machines and users. Disk scheduling helps balance storage workloads and improve resource utilization under large-scale demand.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/blog\/features-of-operating-systems\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Operating System<\/strong><\/a><strong> File Systems:<\/strong> Operating systems use disk scheduling to manage file access operations such as opening applications, reading system files, writing temporary data, and handling background services.<\/li>\n\n\n\n<li><strong>Virtual Machine Environments:<\/strong> Hypervisors process disk requests from multiple guest operating systems sharing physical storage hardware. Disk scheduling reduces contention and improves virtualized workload performance.<\/li>\n\n\n\n<li><a href=\"https:\/\/www.guvi.in\/blog\/what-is-big-data-and-its-uses\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Big Data<\/strong><\/a><strong> and Analytics Platforms:<\/strong> Large-scale analytics systems frequently perform high-volume disk access for distributed datasets, batch processing, and data mining workloads, making optimized I\/O scheduling essential.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>Disk scheduling algorithms are an important part of operating system performance because they determine how disk I\/O requests are serviced efficiently. From FCFS and SSTF to SCAN and C-LOOK, each algorithm follows a different strategy to reduce seek time and improve throughput. Understanding their working principles, trade-offs, and real-world applications helps build a stronger foundation in operating systems and storage management concepts.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1779312409467\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>What is disk arm stickiness in disk scheduling?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Disk arm stickiness occurs when the disk head repeatedly services nearby requests and remains concentrated around a specific region of the disk, delaying distant requests.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1779312418895\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Why are N-Step SCAN and FSCAN used?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>N-Step SCAN and FSCAN are used to manage large request queues efficiently and prevent newly arriving requests from continuously interfering with ongoing scheduling operations.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1779312432845\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>Does disk scheduling matter in SSDs?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Disk scheduling has less impact on SSDs because SSDs do not use mechanical disk heads. However, operating systems still apply scheduling techniques for queue management and workload optimization.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Modern operating systems handle multiple input\/output requests at the same time. When several processes request access to data stored on a disk, the system must decide which request should be served first. Without proper scheduling, disk movement increases, access time becomes slower, and overall system performance drops. This is where disk scheduling algorithms help. They [&hellip;]<\/p>\n","protected":false},"author":60,"featured_media":111793,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[714],"tags":[],"views":"65","authorinfo":{"name":"Vaishali","url":"https:\/\/www.guvi.in\/blog\/author\/vaishali\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/05\/Disk-Scheduling-Algorithms-300x116.webp","jetpack_featured_media_url":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2026\/05\/Disk-Scheduling-Algorithms.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/111746"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/60"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=111746"}],"version-history":[{"count":3,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/111746\/revisions"}],"predecessor-version":[{"id":111796,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/111746\/revisions\/111796"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/111793"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=111746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=111746"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=111746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}