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Installing ns-3.37 and ns-3.35 in Ubuntu | Ubuntu 22.04 | NS3

Multiple Versions of ns3 in Ubuntu 22.04 In this post, we are going to install two versions of ns3 namely ns-3.35 and ns-3.37  My OS is : Ubuntu 22.04 LTS (Long Term Support) ns-3.35 uses waf and (./waf --run scratch/first)  ns-3.37 uses cmake  (./ns3 run scratch/first.cc) So we will install both the packages  Go through the video for complete instructions To start with  $ sudo apt update  $ sudo apt install build-essential autoconf automake libxmu-dev 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-dev automake python3-pip libxml2 libxml2-dev libboost-all-dev  I have downloaded both the versions of ns3 fr

Database for Hard Real time Systems

Databases for real time systems are meant for the use of both hard and soft systems. Since hard real time systems needs strict timing constraints, conventional disk based databases are not suitable, but soft real time systems makes use of disk based systems through FCFS, Elevator or scan policy algorithm.

There should be some solution for Hard Real time systems with high performance and guaranteed response time constraints. MDARTS (Multiprocessor Database Architecture for Real Time System) is one such main memory database which uses VME based processors.

Features


  • This is for Hard Real time Systems

  • It is a main memory database (the entire database resides on the main memory)

  • Object oriented database (C++ elements)

  • Supports explicit declaration of real time constraints and semantic constraints within the application code.
    Constraints Specifications
    Access time ”write <=80usec ; read<=50usec” Staleness ”stale<=20msec” Persistence ”volatile”

  • The above are the constraints which can be included in the application code directly without the recompilation of the MDARTS library.

  • Supports direct, concurrent, shared memory data access.

Shared Memory Objects



  • This is suitable for NGC (Next generation Workstation/machine controller) for automated factories
  • The timing constraints of some real time applications are such that database transactions on the order of tens of microseconds may be needed
  • The above diagram shows the access to the data from the shared memory
  • The control task is periodic with hard deadline every msec. Each time the control task runs, it extracts the current sensor values from the database and computes new control signals for the actuators.
  • Data accessed extremely high speed must be stored in the physical shared memory as the virtual memory and disk based databases may generate the page faults which should not be generated for main memory.
  • Applications need not know whether the database access is local or remote. The database handler hides the information of being remote. Remote access achieved through Remote Procedure calls (RPC). There may be some communication delay when the data is accessed remotely.
  • The shared data manager (SDM) tracks the location and identity of the shared memory objects and also constructs its own database handle for each object to service remote requests.

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