• DocumentCode
    3767242
  • Title

    Energy efficient software development life cycle - An approach towards smart computing

  • Author

    Sunil Kumar Sharma;P. K. Gupta;Reza Malekian

  • Author_Institution
    Department of Computer Science and Engineering, Jaypee University of Information & Technology, Waknaghat, Solan, Himachal Pradesh, India
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    It is difficult to consider that the computers and its devices can play a vital role in environment pollution. There is also a myth that these devices use less energy. According to a survey $ 250 billion per year spent on powering computers worldwide only about 50% of that power is spent computing - the rest is wasted idling [1]. In this paper, we have proposed energy efficient software development life cycle (SDLC) model which is composed by six stages. These stages are Green requirement analysis, Green design, Green implementation, Green testing, Green maintenance and Green analysis. The last stage green analysis is very important because all the other life cycle stages get connected to this green analysis phase in a cyclic manner. The reason behind it When one role of one stage is over, then green analysis phase verifies and validate that phase to ensure the ecofriendly development of software. In green analysis phase, we have used the important concepts which can be implemented towards implementing smart computing techniques like Internet-of-Things, Cloud Computing, virtualization, solutions for green data centre, power optimization, and grid computing. Proposed energy efficient SDLC follows the iterative approach instead of the sequential approach, as if we want to make change in any of the phase then the same could be done easily.
  • Keywords
    "Green products","Software","Energy efficiency","Testing","Computational modeling","Encoding","Maintenance engineering"
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics, Vision and Information Security (CGVIS), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/CGVIS.2015.7449881
  • Filename
    7449881