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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

Main Memory Databases

Main Memory Databases

  • The entire database is residing on the main memory is the concept behind main memory databases. But there are some problems like data backups and storing logs. So Main memory databases are to rely on Disk based systems to store logs and backups.
  • General purpose databases are really huge to sit in to the main memory and they just rely on disk based systems, but real time databases are small and even if it is moderate size, it still sits on the main memory because of speed and cheaper solution.
  • Main memory can be used to write log once a transaction commits. The entire log is huge to sit in the main memory, so it is necessary to store logs in the disks at batch mode or by transaction by transactions. In the former case (batch mode), the buffer store upto a volume of logs, then at a stretch it will store in the disks.
  • Pointers
    are used to access record or data in main memory Databases because of cheaper solutions and speed. If there are multiple copies of the same data available, then only one copy of the item is stored and have pointers to it (for accessing multiple copies).
  • Indexing scheme
    in the disk systems are B trees and B+ Trees. In these mechanisms, the deeper levels are slowly indexed because of the disk accesses and other time consuming parameters. Hence Indexing scheme in Main memory databases uses T trees which are very faster even at the deeper level indexing
  • In disk based systems, if single disk unit fails, then the data on the other units are not affected and even sometimes RAID arrays are used in Disk systems to take multiple backups of same data. But if a main memory DB fails, then it should be powered down and the entire main memory restored.

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