Multitasking and Real-Time Scheduling
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A Comprehensive Review for Central Processing Unit Scheduling Algorithm
IJCSI International Journal of Computer Science Issues, Vol. 10, Issue 1, No 2, January 2013 ISSN (Print): 1694-0784 | ISSN (Online): 1694-0814 www.IJCSI.org 353 A Comprehensive Review for Central Processing Unit Scheduling Algorithm Ryan Richard Guadaña1, Maria Rona Perez2 and Larry Rutaquio Jr.3 1 Computer Studies and System Department, University of the East Caloocan City, 1400, Philippines 2 Computer Studies and System Department, University of the East Caloocan City, 1400, Philippines 3 Computer Studies and System Department, University of the East Caloocan City, 1400, Philippines Abstract when an attempt is made to execute a program, its This paper describe how does CPU facilitates tasks given by a admission to the set of currently executing processes is user through a Scheduling Algorithm. CPU carries out each either authorized or delayed by the long-term scheduler. instruction of the program in sequence then performs the basic Second is the Mid-term Scheduler that temporarily arithmetical, logical, and input/output operations of the system removes processes from main memory and places them on while a scheduling algorithm is used by the CPU to handle every process. The authors also tackled different scheduling disciplines secondary memory (such as a disk drive) or vice versa. and examples were provided in each algorithm in order to know Last is the Short Term Scheduler that decides which of the which algorithm is appropriate for various CPU goals. ready, in-memory processes are to be executed. Keywords: Kernel, Process State, Schedulers, Scheduling Algorithm, Utilization. 2. CPU Utilization 1. Introduction In order for a computer to be able to handle multiple applications simultaneously there must be an effective way The central processing unit (CPU) is a component of a of using the CPU. -
The Different Unix Contexts
The different Unix contexts • User-level • Kernel “top half” - System call, page fault handler, kernel-only process, etc. • Software interrupt • Device interrupt • Timer interrupt (hardclock) • Context switch code Transitions between contexts • User ! top half: syscall, page fault • User/top half ! device/timer interrupt: hardware • Top half ! user/context switch: return • Top half ! context switch: sleep • Context switch ! user/top half Top/bottom half synchronization • Top half kernel procedures can mask interrupts int x = splhigh (); /* ... */ splx (x); • splhigh disables all interrupts, but also splnet, splbio, splsoftnet, . • Masking interrupts in hardware can be expensive - Optimistic implementation – set mask flag on splhigh, check interrupted flag on splx Kernel Synchronization • Need to relinquish CPU when waiting for events - Disk read, network packet arrival, pipe write, signal, etc. • int tsleep(void *ident, int priority, ...); - Switches to another process - ident is arbitrary pointer—e.g., buffer address - priority is priority at which to run when woken up - PCATCH, if ORed into priority, means wake up on signal - Returns 0 if awakened, or ERESTART/EINTR on signal • int wakeup(void *ident); - Awakens all processes sleeping on ident - Restores SPL a time they went to sleep (so fine to sleep at splhigh) Process scheduling • Goal: High throughput - Minimize context switches to avoid wasting CPU, TLB misses, cache misses, even page faults. • Goal: Low latency - People typing at editors want fast response - Network services can be latency-bound, not CPU-bound • BSD time quantum: 1=10 sec (since ∼1980) - Empirically longest tolerable latency - Computers now faster, but job queues also shorter Scheduling algorithms • Round-robin • Priority scheduling • Shortest process next (if you can estimate it) • Fair-Share Schedule (try to be fair at level of users, not processes) Multilevel feeedback queues (BSD) • Every runnable proc. -
Integrating Preemption Threshold Scheduling and Dynamic Voltage Scaling for Energy Efficient Real-Time Systems
Integrating Preemption Threshold Scheduling and Dynamic Voltage Scaling for Energy Efficient Real-Time Systems Ravindra Jejurikar1 and Rajesh Gupta2 1 Centre for Embedded Computer Systems, University of California Irvine, Irvine CA 92697, USA jeÞÞ@cec׺ÙciºedÙ 2 Department of Computer Science and Engineering, University of California San Diego, La Jolla, CA 92093, USA gÙÔØa@c׺Ùc×dºedÙ Abstract. Preemption threshold scheduling (PTS) enables designing scalable real-time systems. PTS not only decreases the run-time overhead of the system, but can also be used to decrease the number of threads and the memory require- ments of the system. In this paper, we combine preemption threshold scheduling with dynamic voltage scaling to enable energy efficient scheduling in real-time systems. We consider scheduling with task priorities defined by the Earliest Dead- line First (EDF) policy. We present an algorithm to compute threshold preemption levels for tasks with given static slowdown factors. The proposed algorithm im- proves upon known algorithms in terms of time complexity. Experimental results show that preemption threshold scheduling reduces on an average 90% context switches, even in the presence of task slowdown. Further, we describe a dynamic slack reclamation technique that working in conjunction with PTS that yields on an average 10% additional energy savings. 1 Introduction With increasing mobility and proliferation of embedded systems, low power consump- tion is an important aspect of embedded systems design. Generally speaking, the pro- cessor consumes a significant portion of the total energy, primarily due to increased computational demands. Scaling the processor frequency and voltage based on the per- formance requirements can lead to considerable energy savings. -
What Is an Operating System III 2.1 Compnents II an Operating System
Page 1 of 6 What is an Operating System III 2.1 Compnents II An operating system (OS) is software that manages computer hardware and software resources and provides common services for computer programs. The operating system is an essential component of the system software in a computer system. Application programs usually require an operating system to function. Memory management Among other things, a multiprogramming operating system kernel must be responsible for managing all system memory which is currently in use by programs. This ensures that a program does not interfere with memory already in use by another program. Since programs time share, each program must have independent access to memory. Cooperative memory management, used by many early operating systems, assumes that all programs make voluntary use of the kernel's memory manager, and do not exceed their allocated memory. This system of memory management is almost never seen any more, since programs often contain bugs which can cause them to exceed their allocated memory. If a program fails, it may cause memory used by one or more other programs to be affected or overwritten. Malicious programs or viruses may purposefully alter another program's memory, or may affect the operation of the operating system itself. With cooperative memory management, it takes only one misbehaved program to crash the system. Memory protection enables the kernel to limit a process' access to the computer's memory. Various methods of memory protection exist, including memory segmentation and paging. All methods require some level of hardware support (such as the 80286 MMU), which doesn't exist in all computers. -
Chapter 1. Origins of Mac OS X
1 Chapter 1. Origins of Mac OS X "Most ideas come from previous ideas." Alan Curtis Kay The Mac OS X operating system represents a rather successful coming together of paradigms, ideologies, and technologies that have often resisted each other in the past. A good example is the cordial relationship that exists between the command-line and graphical interfaces in Mac OS X. The system is a result of the trials and tribulations of Apple and NeXT, as well as their user and developer communities. Mac OS X exemplifies how a capable system can result from the direct or indirect efforts of corporations, academic and research communities, the Open Source and Free Software movements, and, of course, individuals. Apple has been around since 1976, and many accounts of its history have been told. If the story of Apple as a company is fascinating, so is the technical history of Apple's operating systems. In this chapter,[1] we will trace the history of Mac OS X, discussing several technologies whose confluence eventually led to the modern-day Apple operating system. [1] This book's accompanying web site (www.osxbook.com) provides a more detailed technical history of all of Apple's operating systems. 1 2 2 1 1.1. Apple's Quest for the[2] Operating System [2] Whereas the word "the" is used here to designate prominence and desirability, it is an interesting coincidence that "THE" was the name of a multiprogramming system described by Edsger W. Dijkstra in a 1968 paper. It was March 1988. The Macintosh had been around for four years. -
Comparing Systems Using Sample Data
Operating System and Process Monitoring Tools Arik Brooks, [email protected] Abstract: Monitoring the performance of operating systems and processes is essential to debug processes and systems, effectively manage system resources, making system decisions, and evaluating and examining systems. These tools are primarily divided into two main categories: real time and log-based. Real time monitoring tools are concerned with measuring the current system state and provide up to date information about the system performance. Log-based monitoring tools record system performance information for post-processing and analysis and to find trends in the system performance. This paper presents a survey of the most commonly used tools for monitoring operating system and process performance in Windows- and Unix-based systems and describes the unique challenges of real time and log-based performance monitoring. See Also: Table of Contents: 1. Introduction 2. Real Time Performance Monitoring Tools 2.1 Windows-Based Tools 2.1.1 Task Manager (taskmgr) 2.1.2 Performance Monitor (perfmon) 2.1.3 Process Monitor (pmon) 2.1.4 Process Explode (pview) 2.1.5 Process Viewer (pviewer) 2.2 Unix-Based Tools 2.2.1 Process Status (ps) 2.2.2 Top 2.2.3 Xosview 2.2.4 Treeps 2.3 Summary of Real Time Monitoring Tools 3. Log-Based Performance Monitoring Tools 3.1 Windows-Based Tools 3.1.1 Event Log Service and Event Viewer 3.1.2 Performance Logs and Alerts 3.1.3 Performance Data Log Service 3.2 Unix-Based Tools 3.2.1 System Activity Reporter (sar) 3.2.2 Cpustat 3.3 Summary of Log-Based Monitoring Tools 4. -
A Simple Chargeback System for SAS® Applications Running on UNIX and Linux Servers
SAS Global Forum 2007 Systems Architecture Paper: 194-2007 A Simple Chargeback System For SAS® Applications Running on UNIX and Linux Servers Michael A. Raithel, Westat, Rockville, MD Abstract Organizations that run SAS on UNIX and Linux servers often have a need to measure overall SAS usage and to charge the projects and users who utilize the servers. This allows an organization to pay for the hardware, software, and labor necessary to maintain and run these types of shared servers. However, performance management and accounting software is normally expensive. Purchasing such software, configuring it, and managing it may be prohibitive in terms of cost and in terms of having staff with the right skill sets to do so. Consequently, many organizations with UNIX or Linux servers do not have a reliable way to measure the overall use of SAS software and to charge individuals and projects for its use. This paper presents a simple methodology for creating a chargeback system on UNIX and Linux servers. It uses basic accounting programs found in the UNIX and Linux operating systems, and exploits them using SAS software. The paper presents an overview of the UNIX/Linux “sa” command and the basic accounting system. Then, it provides a SAS program that utilizes this command to capture and store monthly SAS usage statistics. The paper presents a second SAS program that reads the monthly SAS usage SAS data set and creates both a chargeback report and a general usage report. After reading this paper, you should be able to easily adapt the sample SAS programs to run on servers in your own environment. -
CS414 SP 2007 Assignment 1
CS414 SP 2007 Assignment 1 Due Feb. 07 at 11:59pm Submit your assignment using CMS 1. Which of the following should NOT be allowed in user mode? Briefly explain. a) Disable all interrupts. b) Read the time-of-day clock c) Set the time-of-day clock d) Perform a trap e) TSL (test-and-set instruction used for synchronization) Answer: (a), (c) should not be allowed. Which of the following components of a program state are shared across threads in a multi-threaded process ? Briefly explain. a) Register Values b) Heap memory c) Global variables d) Stack memory Answer: (b) and (c) are shared 2. After an interrupt occurs, hardware needs to save its current state (content of registers etc.) before starting the interrupt service routine. One issue is where to save this information. Here are two options: a) Put them in some special purpose internal registers which are exclusively used by interrupt service routine. b) Put them on the stack of the interrupted process. Briefly discuss the problems with above two options. Answer: (a) The problem is that second interrupt might occur while OS is in the middle of handling the first one. OS must prevent the second interrupt from overwriting the internal registers. This strategy leads to long dead times when interrupts are disabled and possibly lost interrupts and lost data. (b) The stack of the interrupted process might be a user stack. The stack pointer may not be legal which would cause a fatal error when the hardware tried to write some word at it. -
A Hardware Preemptive Multitasking Mechanism Based on Scan-Path Register Structure for FPGA-Based Reconfigurable Systems
A Hardware Preemptive Multitasking Mechanism Based on Scan-path Register Structure for FPGA-based Reconfigurable Systems S. Jovanovic, C. Tanougast and S. Weber Université Henri Poincaré, LIEN, 54506 Vandoeuvre lès Nancy, France [email protected] Abstract all the registers as well as all memories used in the circuit In this paper, we propose a hardware preemptive and to determine the starting point of the restoration multitasking mechanism which uses scan-path register process. On the other hand, the goal of the restoration is to structure and allows identifying the total task’s register restore the task’s context of processing as it was before its size for the FPGA-based reconfigurable systems. The interruption, in order to continue the execution previously main objective of this preemptive mechanism is to stopped. Several techniques allowing the hardware suspend hardware task having low priority, replace it by preemption are proposed in the literature. The pros and high-priority task and restart them at another time cons of mostly used approaches we will disscus in the (and/or from another area of the FPGA in FPGA-based following. designs). The main advantages of the proposed method The readback approach for context saving and storing are that it provides an attractive way for context saving of an outgoing task is one of the approaches which was and restoring of a hardware task without freezing other mostly used for the FPGA-based designs. No additional tasks during pre-emption phases and a small area hardware structures, simple implementation, no extra overhead. We show its feasibility by allowing us to design design efforts and no extra hardware consumption are the a simple computing example as well as the one of the most important advantages of this approach. -
Cgroups Py: Using Linux Control Groups and Systemd to Manage CPU Time and Memory
cgroups py: Using Linux Control Groups and Systemd to Manage CPU Time and Memory Curtis Maves Jason St. John Research Computing Research Computing Purdue University Purdue University West Lafayette, Indiana, USA West Lafayette, Indiana, USA [email protected] [email protected] Abstract—cgroups provide a mechanism to limit user and individual resource. 1 Each directory in a cgroupsfs hierarchy process resource consumption on Linux systems. This paper represents a cgroup. Subdirectories of a directory represent discusses cgroups py, a Python script that runs as a systemd child cgroups of a parent cgroup. Within each directory of service that dynamically throttles users on shared resource systems, such as HPC cluster front-ends. This is done using the the cgroups tree, various files are exposed that allow for cgroups kernel API and systemd. the control of the cgroup from userspace via writes, and the Index Terms—throttling, cgroups, systemd obtainment of statistics about the cgroup via reads [1]. B. Systemd and cgroups I. INTRODUCTION systemd A frequent problem on any shared resource with many users Systemd uses a named cgroup tree (called )—that is that a few users may over consume memory and CPU time. does not impose any resource limits—to manage processes When these resources are exhausted, other users have degraded because it provides a convenient way to organize processes in access to the system. A mechanism is needed to prevent this. a hierarchical structure. At the top of the hierarchy, systemd creates three cgroups By placing throttles on physical memory consumption and [2]: CPU time for each individual user, cgroups py prevents re- source exhaustion on a shared system and ensures continued • system.slice: This contains every non-user systemd access for other users. -
Linux CPU Schedulers: CFS and Muqss Comparison
Umeå University 2021-06-14 Bachelor’s Thesis In Computing Science Linux CPU Schedulers: CFS and MuQSS Comparison Name David Shakoori Gustafsson Supervisor Anna Jonsson Examinator Ola Ringdahl CFS and MuQSS Comparison Abstract The goal of this thesis is to compare two process schedulers for the Linux operating system. In order to provide a responsive and interactive user ex- perience, an efficient process scheduling algorithm is important. This thesis seeks to explain the potential performance differences by analysing the sched- ulers’ respective designs. The two schedulers that are tested and compared are Con Kolivas’s MuQSS and Linux’s default scheduler, CFS. They are tested with respect to three main aspects: latency, turn-around time and interactivity. Latency is tested by using benchmarking software, the turn- around time by timing software compilation, and interactivity by measuring video frame drop percentages under various background loads. These tests are performed on a desktop PC running Linux OpenSUSE Leap 15.2, using kernel version 5.11.18. The test results show that CFS manages to keep a generally lower latency, while turn-around times differs little between the two. Running the turn-around time test’s compilation using a single process gives MuQSS a small advantage, while dividing the compilation evenly among the available logical cores yields little difference. However, CFS clearly outper- forms MuQSS in the interactivity test, where it manages to keep frame drop percentages considerably lower under each tested background load. As is apparent by the results, Linux’s current default scheduler provides a more responsive and interactive experience within the testing conditions, than the alternative MuQSS. -
Types of Operating System 3
Types of Operating System 3. Batch Processing System The OS in the early computers was fairly simple. Its major task was to transfer control automatically from one job to the next. The OS was always resident in memory. To speed up processing, operators batched together jobs with similar requirement/needs and ran them through the computer as a group. Thus, the programmers would leave their programs with the operator. The operator would sort programs into batches with similar requirements and, as the computer became available, would run each batch. The output from each job would be sent back to the appropriate programmer. Memory layout of Batch System Operating System User Program Area Batch Processing Operating System JOBS Batch JOBS JOBS JOBS JOBS Monitor OPERATING SYSTEM HARDWARE Advantages: ➢ Batch processing system is particularly useful for operations that require the computer or a peripheral device for an extended period of time with very little user interaction. ➢ Increased performance as it was possible for job to start as soon as previous job is finished without any manual intervention. ➢ Priorities can be set for different batches. Disadvantages: ➢ No interaction is possible with the user while the program is being executed. ➢ In this execution environment , the CPU is often idle, because the speeds of the mechanical I/O devices are intrinsically slower than are those of electronic devices. 4. Multiprogramming System The most important aspect of job scheduling is the ability to multi-program. Multiprogramming increases CPU utilization by organizing jobs so that CPU always has one to execute. The idea is as follows: The operating system keeps several jobs in memory simultaneously.