Skip to main content

PyTorch Code for Simple Neural Networks for MNIST Dataset

Next fit Algorithm for RM Scheduling

  1. This algorithm uses the same assumptions used in the Rate Monotonic Scheduling
  2. This algorithm is based on the RM Scheduling algorithm for each processors
  3. The multi processor is assumed to consists of identical processors.
  4. The tasks are assumed to require no resources other than the CPU Time
  5.  

    The tasks are allocated to processors according to the classes in which they belong. Each classes contains a set of processors that is only allocated the tasks of that class.

     

    Tasks are allocated one by one to the appropriate processor classes until all the tasks have been scheduled.

    If any class fails to produce a feasible RM Schedule, then a new processor will be added to the same class and the corresponding task (which does not meets its deadline) is allocated to the new processor class.

     

    Example

    Let us say M=4 classes. The following table lists the classes

    Class

    Bound

    C1

    (0.41,1]

    C2

    (0.26,0.41]

    C3

    (0.19,0.26]

    C4

    (0, 0.19]

     

    The tasks sets are given below

     

    T1

    T2

    T3

    T4

    T5

    T6

    T7

    T8

    T9

    T10

    T11

    ei

    5

    7

    3

    1

    10

    16

    1

    3

    9

    17

    21

    Pi

    10

    21

    22

    24

    30

    40

    50

    55

    70

    90

    95

    u(i)=ei/Pi

    0.50

    0.33

    0.14

    0.04

    0.33

    0.40

    0.02

    0.05

    0.13

    0.19

    0.22

    Class

    C1

    C2

    C4

    C4

    C2

    C2

    C4

    C4

    C4

    C4

    C3

     

    Steps

  6. Since C1 class contains only one task T1, it will be RM Schedulable, so p1 is a processor under C1
  7. C2 contains three tasks, T2, T5 and T6, upon RM Scheduling T6 fails to meets its deadline, so a new processor is added to class C2. So class C2 contains two processors p2 and p5
  8. C3 is also having only one Task T11 and it will also be schedulable under RM, so p3 is a processor under C3.
  9. C4 contains 6 tasks namely, T3,T4, T7,T8,T9 and T10. All the tasks meets their deadlines under RM Scheduling, so p4 is a processor under C4
  10.  

    Processor

    Tasks

    p1

    T1

    p2

    T2, T5

    p3

    T11

    p4

    T3,T4,T7,T8,T9,T10

    p5

    T6

     

     

Comments

Popular posts from this blog

Installing ns3 in Ubuntu 22.04 | Complete Instructions

In this post, we are going to see how to install ns-3.36.1 in Ubuntu 22.04. You can follow the video for complete details Tools used in this simulation: NS3 version ns-3.36.1  OS Used: Ubuntu 22.04 LTS Installation of NS3 (ns-3.36.1) There are some changes in the ns3 installation procedure and the dependencies. So open a terminal and issue the following commands Step 1:  Prerequisites $ sudo apt update In the following packages, all the required dependencies are taken care and you can install all these packages for the complete use of ns3. $ sudo apt install g++ python3 python3-dev pkg-config sqlite3 cmake python3-setuptools git qtbase5-dev qtchooser qt5-qmake qtbase5-dev-tools gir1.2-goocanvas-2.0 python3-gi python3-gi-cairo python3-pygraphviz gir1.2-gtk-3.0 ipython3 openmpi-bin openmpi-common openmpi-doc libopenmpi-dev autoconf cvs bzr unrar gsl-bin libgsl-dev libgslcblas0 wireshark tcpdump sqlite sqlite3 libsqlite3-dev  libxml2 libxml2-dev libc6-dev libc6-dev-i386 libclang-dev llvm-

Installation of NS2 (ns-2.35) in Ubuntu 20.04

Installation of NS2 (ns-2.35) in Ubuntu 20.04 LTS Step 1: Install the basic libraries like      $] sudo apt install build-essential autoconf automake libxmu-dev Step 2: install gcc-4.8 and g++-4.8 open the file using sudo mode $] sudo nano /etc/apt/sources.list Include the following line deb http://in.archive.ubuntu.com/ubuntu bionic main universe $] sudo apt update $] sudo apt install gcc-4.8 g++-4.8 Step 3:  Unzip the ns2 packages to home folder $] tar zxvf ns-allinone-2.35.tar.gz $] cd ns-allinone-2.35/ns-2.35 Modify the following make files. ~ns-2.35/Makefile.in Change @CC@ to gcc-4.8 change @CXX@ to g++-4.8 ~nam-1.15/Makefile.in ~xgraph-12.2/Makefile.in ~otcl-1.14/Makefile.in Change in all places  @CC@ to gcc-4.8 @CPP@ or @CXX@ to g++-4.8 open the file: ~ns-2.35/linkstate/ls.h Change at the Line no 137  void eraseAll() { erase(baseMap::begin(), baseMap::end()); } to This void eraseAll() { this->erase(baseMap::begin(), baseMap::end()); } All changes made Step 4: Open a new termi

Installation of NS2 in Ubuntu 22.04 | NS2 Tutorial 2

NS-2.35 installation in Ubuntu 22.04 This post shows how to install ns-2.35 in Ubuntu 22.04 Operating System Since ns-2.35 is too old, it needs the following packages gcc-4.8 g++-4.8 gawk and some more libraries Follow the video for more instructions So, here are the steps to install this software: To download and extract the ns2 software Download the software from the following link http://sourceforge.net/projects/nsnam/files/allinone/ns-allinone-2.35/ns-allinone-2.35.tar.gz/download Extract it to home folder and in my case its /home/pradeepkumar (I recommend to install it under your home folder) $ tar zxvf ns-allinone-2.35.tar.gz or Right click over the file and click extract here and select the home folder. $ sudo apt update $ sudo apt install build-essential autoconf automake libxmu-dev gawk To install gcc-4.8 and g++-4.8 $ sudo gedit /etc/apt/sources.list make an entry in the above file deb http://in.archive.ubuntu.com/ubuntu/ bionic main universe $ sudo apt update Since, it&#