Study of Processing, Storage & Cost of DNA Computing with Silicon Computation

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Computation with DNA is getting popular day by day in the computational world. Its impact on the researcher increases due to fabulous potentials it contains, the storage capacity is massive, parallelism in processing is incredible. Unfortunately in Pakistan as a developing nation, much less attention has been given to this new computational approach. This research helps in highlighting the importance of DNA based computing and also explores new research dimensions. This research is aimed at investigating cost of DNA based computing in contrast to the traditional approach. In this research different attributes of both techniques are compared and analyzed. Comparison of process, storage, cost and power consumption are made and results are given. A model is designed for comparison of the mentioned attributes in both techniques. It is discussed that DNA based computation is suitable for parallel processing in contrast of traditional computing. It has awesome capability of storing data for long lasting and huge capacity. Energy consumption and production cost is almost negligible. DNA based computing is remarkable for solving such combinatorial problems.

Autorentext

Prof. Dr. Malik Sikandar Hayat Khiyal is currently a Professor at Faculty of Computer Science, Preston University, Islamabad. He remained Chairman Department of Computer Sciences and Software Engineering in Fatima Jinnah Women University Pakistan and IIU, Islamabad. Also worked 25 years in PAEC.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783330041097
    • Herausgeber LAP LAMBERT Academic Publishing
    • Anzahl Seiten 88
    • Genre Software
    • Sprache Englisch
    • Gewicht 149g
    • Autor Malik Sikander Hayat Khiyal , Halim Ullah
    • Größe H220mm x B150mm x T6mm
    • Jahr 2017
    • EAN 9783330041097
    • Format Kartonierter Einband
    • ISBN 3330041099
    • Veröffentlichung 02.02.2017
    • Titel Study of Processing, Storage & Cost of DNA Computing with Silicon Computation

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