Real-Time Operating Systems with Example PICOS18
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Task Scheduling Balancing User Experience and Resource Utilization on Cloud
Rochester Institute of Technology RIT Scholar Works Theses 7-2019 Task Scheduling Balancing User Experience and Resource Utilization on Cloud Sultan Mira [email protected] Follow this and additional works at: https://scholarworks.rit.edu/theses Recommended Citation Mira, Sultan, "Task Scheduling Balancing User Experience and Resource Utilization on Cloud" (2019). Thesis. Rochester Institute of Technology. Accessed from This Thesis is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Theses by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. Task Scheduling Balancing User Experience and Resource Utilization on Cloud by Sultan Mira A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in Software Engineering Supervised by Dr. Yi Wang Department of Software Engineering B. Thomas Golisano College of Computing and Information Sciences Rochester Institute of Technology Rochester, New York July 2019 ii The thesis “Task Scheduling Balancing User Experience and Resource Utilization on Cloud” by Sultan Mira has been examined and approved by the following Examination Committee: Dr. Yi Wang Assistant Professor Thesis Committee Chair Dr. Pradeep Murukannaiah Assistant Professor Dr. Christian Newman Assistant Professor iii Dedication I dedicate this work to my family, loved ones, and everyone who has helped me get to where I am. iv Abstract Task Scheduling Balancing User Experience and Resource Utilization on Cloud Sultan Mira Supervising Professor: Dr. Yi Wang Cloud computing has been gaining undeniable popularity over the last few years. Among many techniques enabling cloud computing, task scheduling plays a critical role in both efficient resource utilization for cloud service providers and providing an excellent user ex- perience to the clients. -
Resource Access Control Facility (RACF) General User's Guide
----- --- SC28-1341-3 - -. Resource Access Control Facility -------_.----- - - --- (RACF) General User's Guide I Production of this Book This book was prepared and formatted using the BookMaster® document markup language. Fourth Edition (December, 1988) This is a major revision of, and obsoletes, SC28-1341- 3and Technical Newsletter SN28-l2l8. See the Summary of Changes following the Edition Notice for a summary of the changes made to this manual. Technical changes or additions to the text and illustrations are indicated by a vertical line to the left of the change. This edition applies to Version 1 Releases 8.1 and 8.2 of the program product RACF (Resource Access Control Facility) Program Number 5740-XXH, and to all subsequent versions until otherwise indicated in new editions or Technical Newsletters. Changes are made periodically to the information herein; before using this publication in connection with the operation of IBM systems, consult the latest IBM Systemj370 Bibliography, GC20-0001, for the editions that are applicable and current. References in this publication to IBM products or services do not imply that IBM· intends to make these available in all countries in which IBM operates. Any reference to an IBM product in this publication is not intended to state or imply that only IBM's product may be used. Any functionally equivalent product may be used instead. This statement does not expressly or implicitly waive any intellectual property right IBM may hold in any product mentioned herein. Publications are not stocked at the address given below. Requests for IBM publications should be made to your IBM representative or to the IBM branch office serving your locality. -
3.A Fixed-Priority Scheduling
2017/18 UniPD - T. Vardanega 10/03/2018 Standard notation : Worst-case blocking time for the task (if applicable) 3.a Fixed-Priority Scheduling : Worst-case computation time (WCET) of the task () : Relative deadline of the task : The interference time of the task : Release jitter of the task : Number of tasks in the system Credits to A. Burns and A. Wellings : Priority assigned to the task (if applicable) : Worst-case response time of the task : Minimum time between task releases, or task period () : The utilization of each task ( ⁄) a-Z: The name of a task 2017/18 UniPD – T. Vardanega Real-Time Systems 168 of 515 The simplest workload model Fixed-priority scheduling (FPS) The application is assumed to consist of tasks, for fixed At present, the most widely used approach in industry All tasks are periodic with known periods Each task has a fixed (static) priority determined off-line This defines the periodic workload model In real-time systems, the “priority” of a task is solely derived The tasks are completely independent of each other from its temporal requirements No contention for logical resources; no precedence constraints The task’s relative importance to the correct functioning of All tasks have a deadline equal to their period the system or its integrity is not a driving factor at this level A recent strand of research addresses mixed-criticality systems, with Each task must complete before it is next released scheduling solutions that contemplate criticality attributes All tasks have a single fixed WCET, which can be trusted as The ready tasks (jobs) are dispatched to execution in a safe and tight upper-bound the order determined by their (static) priority Operation modes are not considered Hence, in FPS, scheduling at run time is fully defined by the All system overheads (context-switch times, interrupt handling and so on) are assumed absorbed in the WCETs priority assignment algorithm 2017/18 UniPD – T. -
The CICS/MQ Interface
1 2 Each application program which will execute using MQ call statements require a few basic inclusions of generated code. The COPY shown are the one required by all applications using MQ functions. We have suppressed the list of the CMQV structure since it is over 20 pages of COBOL variable constants. The WS‐VARIABLES are the minimum necessary to support bot getting and putting messages from and to queues. The MQ‐CONN would normally be the handle acquired by an MQCONN function, but that call along with the MQDISC call are ignored by CICS / MQ interface. It is CICS itself that has performed the MQCONN to the queue manager. The MQ‐HOBJ‐I and MQ‐HOBJ‐O represent the handles, acquired on MQOPEN for a queue, used to specify which queue the other calls relate to. The MQ‐COMPCODE and MQ‐REASON are the variables which the application must test after every MQ call to determine its success. 3 This slide contains the message input and output areas used on the MQGET and MQPUT calls. Our messages are rather simple and limited in size. SO we have put the data areas in the WORKING‐STORAGE SECTION. Many times you will have these as copy books rather than native COBOL variables. Since the WORKING‐STORAGE area is being copied for each task using the program, we recommend that larger messages areas be put into the LINKAGE SECTION. Here we use a size of 200‐300 K as a suggestion. However, that size will vary depending upon your CICS environment. When the application is using message areas in the LINKAGE SECTION, it will be responsible to perform a CICS GETMAIN command to acquire the storage for the message area. -
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. -
Mac OS X: an Introduction for Support Providers
Mac OS X: An Introduction for Support Providers Course Information Purpose of Course Mac OS X is the next-generation Macintosh operating system, utilizing a highly robust UNIX core with a brand new simplified user experience. It is the first successful attempt to provide a fully-functional graphical user experience in such an implementation without requiring the user to know or understand UNIX. This course is designed to provide a theoretical foundation for support providers seeking to provide user support for Mac OS X. It assumes the student has performed this role for Mac OS 9, and seeks to ground the student in Mac OS X using Mac OS 9 terms and concepts. Author: Robert Dorsett, manager, AppleCare Product Training & Readiness. Module Length: 2 hours Audience: Phone support, Apple Solutions Experts, Service Providers. Prerequisites: Experience supporting Mac OS 9 Course map: Operating Systems 101 Mac OS 9 and Cooperative Multitasking Mac OS X: Pre-emptive Multitasking and Protected Memory. Mac OS X: Symmetric Multiprocessing Components of Mac OS X The Layered Approach Darwin Core Services Graphics Services Application Environments Aqua Useful Mac OS X Jargon Bundles Frameworks Umbrella Frameworks Mac OS X Installation Initialization Options Installation Options Version 1.0 Copyright © 2001 by Apple Computer, Inc. All Rights Reserved. 1 Startup Keys Mac OS X Setup Assistant Mac OS 9 and Classic Standard Directory Names Quick Answers: Where do my __________ go? More Directory Names A Word on Paths Security UNIX and security Multiple user implementation Root Old Stuff in New Terms INITs in Mac OS X Fonts FKEYs Printing from Mac OS X Disk First Aid and Drive Setup Startup Items Mac OS 9 Control Panels and Functionality mapped to Mac OS X New Stuff to Check Out Review Questions Review Answers Further Reading Change history: 3/19/01: Removed comment about UFS volumes not being selectable by Startup Disk. -
Introduction to Xgrid: Cluster Computing for Everyone
Introduction to Xgrid: Cluster Computing for Everyone Barbara J. Breen1, John F. Lindner2 1Department of Physics, University of Portland, Portland, Oregon 97203 2Department of Physics, The College of Wooster, Wooster, Ohio 44691 (First posted 4 January 2007; last revised 24 July 2007) Xgrid is the first distributed computing architecture built into a desktop operating system. It allows you to run a single job across multiple computers at once. All you need is at least one Macintosh computer running Mac OS X v10.4 or later. (Mac OS X Server is not required.) We provide explicit instructions and example code to get you started, including examples of how to distribute your computing jobs, even if your initial cluster consists of just two old laptops in your basement. 1. INTRODUCTION Apple’s Xgrid technology enables you to readily convert any ad hoc collection of Macintosh computers into a low-cost supercomputing cluster. Xgrid functionality is integrated into every copy of Mac OS X v10.4. For more information, visit http://www.apple.com/macosx/features/xgrid/. In this article, we show how to unlock this functionality. In Section 2, we guide you through setting up the cluster. In Section 3, we illustrate two simple ways to distribute jobs across the cluster: shell scripts and batch files. We don’t assume you know what shell scripts, batch files, or C/C++ programs are (although you will need to learn). Instead, we supply explicit, practical examples. 2. SETTING UP THE CLUSTER In a typical cluster of three or more computers (or processors), a client computer requests a job from the controller computer, which assigns an agent computer to perform it. -
CS 151: Introduction to Computers
Information Technology: Introduction to Computers Handout One Computer Hardware 1. Components a. System board, Main board, Motherboard b. Central Processing Unit (CPU) c. RAM (Random Access Memory) SDRAM. DDR-RAM, RAMBUS d. Expansion cards i. ISA - Industry Standard Architecture ii. PCI - Peripheral Component Interconnect iii. PCMCIA - Personal Computer Memory Card International Association iv. AGP – Accelerated Graphics Port e. Sound f. Network Interface Card (NIC) g. Modem h. Graphics Card (AGP – accelerated graphics port) i. Disk drives (A:\ floppy diskette; B:\ obsolete 5.25” floppy diskette; C:\Internal Hard Disk; D:\CD-ROM, CD-R/RW, DVD-ROM/R/RW (Compact Disk-Read Only Memory) 2. Peripherals a. Monitor b. Printer c. Keyboard d. Mouse e. Joystick f. Scanner g. Web cam Operating system – a collection of files and small programs that enables input and output. The operating system transforms the computer into a productive entity for human use. BIOS (Basic Input Output System) date, time, language, DOS – Disk Operating System Windows (Dual, parallel development for home and industry) Windows 3.1 Windows 3.11 (Windows for Workgroups) Windows 95 Windows N. T. (Network Technology) Windows 98 Windows N. T. 4.0 Windows Me Windows 2000 Windows XP Home Windows XP Professional The Evolution of Windows Early 80's IBM introduced the Personal PC using the Intel 8088 processor and Microsoft's Disk Operating System (DOS). This was a scaled down computer aimed at business which allowed a single user to execute a single program. Many changes have been introduced over the last 20 years to bring us to where we are now. -
GEMTC: GPU Enabled Many-Task Computing
GEMTC: GPU Enabled Many-Task Computing Scott Krieder, Ioan Raicu Department of Computer Science Illinois Institute of Technology Chicago, IL USA [email protected], [email protected] Abstract— Current software and hardware limitations prevent acceleration on HPC resources. However, a programmability gap still Many-Task Computing (MTC) workloads from leveraging exists between applications and accelerators. Researchers and hardware accelerators (NVIDIA GPUs, Intel Xeon Phi) boasting developers are forced to work within the constraints of closed Many-Core Computing architectures. Some broad application environments such as the CUDA GPU Programming Framework[3] classes that fit the MTC paradigm are workflows, MapReduce, (for NVIDIA GPUs). The goal of this work is to improve the high-throughput computing, and a subset of high-performance performance of MTC workloads running on GPUs through the use of computing. MTC emphasizes using many computing resources the GEMTC framework. The CUDA framework can only support over short periods of time to accomplish many computational 16 kernels running concurrently, one kernel per streaming tasks (i.e. including both dependent and independent tasks), multiprocessor (SM). One problem with this approach is that where the primary metrics are measured in seconds. MTC has all kernels must start and end at the same time, causing extreme already proven successful in Grid Computing and inefficiencies in heterogeneous workloads. By working at the Supercomputing on MIMD architectures, but the SIMD architectures of today’s accelerators pose many challenges in the warp level, (which sits between cores and SMs) I can trade efficient support of MTC workloads on accelerators. This work local memory for concurrency, and I am able to run up to 200 aims to address the programmability gap between MTC and concurrent kernels. -
Z/OS, Language Environment, and UNIX How They Work Together
The Trainer’s Friend, Inc. 256-B S. Monaco Parkway Telephone: (800) 993-8716 Denver, Colorado 80224 (303) 393-8716 U.S.A. Fax: (303) 393-8718 E-mail: [email protected] Internet: www.trainersfriend.com z/OS, Language Environment, and UNIX How They Work Together The following terms that may appear in these materials are trademarks or registered trademarks: Trademarks of the International Business Machines Corporation: AD/Cycle, AIX, AIX/ESA, Application System/400, AS/400, BookManager, CICS, CICS/ESA, COBOL/370, COBOL for MVS and VM, COBOL for OS/390 & VM, Common User Access, CORBA, CUA, DATABASE 2, DB2, DB2 Universal Database, DFSMS, DFSMSds, DFSORT, DOS/VSE, Enterprise System/3090, ES/3090, 3090, ESA/370, ESA/390, Hiperbatch, Hiperspace, IBM, IBMLink, IMS, IMS/ESA, Language Environment, MQSeries, MVS, MVS/ESA, MVS/XA, MVS/DFP, NetView, NetView/PC, Object Management Group, Operating System/400, OS/400, PR/SM, OpenEdition MVS, Operating System/2, OS/2, OS/390, OS/390 UNIX, OS/400, QMF, RACF, RS/6000, SOMobjects, SOMobjects Application Class Library, System/370, System/390, Systems Application Architecture, SAA, System Object Model, TSO, VisualAge, VisualLift, VTAM, VM/XA, VM/XA SP, WebSphere, z/OS, z/VM, z/Architecture, zSeries Trademarks of Microsoft Corp.: Microsoft, Windows, Windows NT, Windows ’95, Windows ’98, Windows 2000, Windows SE, Windows XP Trademark of Chicago-Soft, Ltd: MVS/QuickRef Trademark of Phoenix Software International: (E)JES Registered Trademarks of Institute of Electrical and Electronic Engineers: IEEE, POSIX Registered Trademark of The Open Group: UNIX Trademark of Sun Microsystems, Inc.: Java Registered Trademark of Linus Torvalds: LINUX Registered Trademark of Unicode, Inc.: Unicode Preface This document came about as a result of writing my first course for UNIX on the IBM mainframe. -
CS 450: Operating Systems Michael Lee <[email protected]>
The Process CS 450: Operating Systems Michael Lee <[email protected]> Agenda - The Process: what is it and what’s in it? - Forms of Multitasking - Tracking processes in the OS - Context switches and Scheduling - Process API a process is a program in execution - its behavior is largely defined by the program being executed - but a process is much more than just a program! Multitasking - Modern general-purpose OSes typically run dozens to hundreds of processes simultaneously - May collectively exceed capacity of hardware - Recall: virtualization allows each process to ignore physical hardware limitations and let OS take care of details CPU/Memory Virtualization - Time-slicing of CPU(s) is performed to simulate concurrency - Memory is partitioned and shared amongst processes - But per-process view is of a uniform address space - Lazy/On-demand loading of processes lowers total burden vs. “Batch” processing - Without multitasking, each program is run from start to finish without interruption from other processes - Including any I/O operations (which may be lengthy!) - Ensures minimal overhead (but at what cost?) - Is virtualization still necessary? Pros/Cons of Multitasking - Pro: may improve resource utilization if we can run some processes while others are blocking - Pro: makes process interaction possible - Con: virtualization introduces overhead (examples?) - Con: possibly reduced overall throughput Forms of Multitasking - Cooperative multitasking: processes voluntarily cede control - Preemptive multitasking: OS polices transitions (how?) - Real-time systems: hard, fixed time constraints (late is wrong!) What’s in a process? - Program (“text”) and data - Static/Stack/Heap memory contents - Registers (e.g., PC, SP, FP) - Open files and devices (e.g., network) - What else? Data vs. -
Scheduling Techniques for Reducing Processor Energy Use in Macos
Scheduling Techniques for Reducing Processor Energy Use in MacOS Jacob R. Lorch and Alan Jay Smith Computer Science Division, EECS Department, UC Berkeley Berkeley, CA 94720-1776 Abstract a number of engineering users. We found that, depending on the machine and user, up to 18±34% of total power was at- The CPU is one of the major power consumers in a tributable to components whose power consumption could be portable computer, and considerable power can be saved by reduced by power management of the processor, i.e. the CPU turning off the CPU when it is not doing useful work. In Ap- and logic that could be turned off when the CPU was inactive. ple's MacOS, however, idle time is often converted to busy This high percentage, combined with our intuition that soft- waiting, and generally it is very hard to tell when no use- ware power management could be signi®cantly improved for ful computation is occurring. In this paper, we suggest sev- the processor, led us to conclude that the most important tar- eral heuristic techniques for identifying this condition, and get for further research in software power management was for temporarily putting the CPU in a low-power state. These the processor. techniques include turning off the processor when all pro- Many modern microprocessors have low-power states, in cesses are blocked, turning off the processor when processes which they consume little or no power. To take advantage of appear to be busy waiting, and extending real time process such low-power states, the operating system needs to direct sleep periods.