Load balancing in cloud environment using enhanced migration and adjustment operator-based monarch butterfly optimization

Project Code :TMMACO90

Objective

The study aims to address the challenges posed by the dynamic nature of cloud workloads and varying resource demands, leading to improved resource utilization, reduced response time, minimized latency, enhanced scalability, and increased overall system efficiency.

Abstract

These In today’s world data security is the major problem which is to face. In order to secure data during communication, data storage and transmission we use Advance encryption standard (AES). AES is a symmetric block cipher intended to replace DES for commercial applications.it uses 128-bit block size and a key size of 128, 192, or 256 bits. The AES algorithms use to secure data from unauthorized user. The available AES algorithm is used for text data as well as for image data. In this paper an image is given as input to AES encryption algorithm which gives encrypted output. This encrypted output is given as input to AES decryption algorithm and original image is regained as output. The AES algorithm for image encryption and decryption which synthesizes and simulated with the help of MATLAB software.

Keywords: Data Security, Advance encryption standard (AES), Encryption, Decryption

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Specifications

Software: Matlab 2020a or above

Hardware:

Operating Systems:

  • Windows 10
  • Windows 7 Service Pack 1
  • Windows Server 2019
  • Windows Server 2016

Processors:

Minimum: Any Intel or AMD x86-64 processor

Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support

Disk:

Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation

Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space

RAM:

Minimum: 4 GB

Recommended: 8 GB

Learning Outcomes

·   Introduction to Matlab

·   What is EISPACK & LINPACK

·   How to start with MATLAB

·   About Matlab language

·   Matlab coding skills

·   About tools & libraries

·   Application Program Interface in Matlab

·   About Matlab desktop

·   How to use Matlab editor to create M-Files

·   Features of Matlab

·   Basics on Matlab

·   What is an Image/pixel?

·   About image formats

·   Introduction to Image Processing

·   How digital image is formed

·   Importing the image via image acquisition tools

·   Analyzing and manipulation of image.

·   Phases of image processing:

               o  Acquisition

               o  Image enhancement

               o  Image restoration

               o   Color image processing

               o  Image compression

               o   Morphological processing

               o   Segmentation etc.,

·   How to extend our work to another real time applications

·   Project development Skills

               o   Problem analyzing skills

               o   Problem solving skills

               o   Creativity and imaginary skills

               o   Programming skills

               o   Deployment

               o   Testing skills

               o   Debugging skills

               o   Project presentation skills

               o   Thesis writing skills

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