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

Malik Sikander Hayat Khiyal

ISBN 10: 3330041099 / ISBN 13: 9783330041097

Verlag: LAP LAMBERT Academic Publishing Feb 2017, 2017

Beschreibung

Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 88 pp. Englisch. Bestandsnummer des Verkäufers 9783330041097

Bibliografische Details

Titel: Study of Processing, Storage & Cost of DNA ...

Verlag: LAP LAMBERT Academic Publishing Feb 2017

Erscheinungsdatum: 2017

Einband: Taschenbuch

Zustand: Neu

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Inhaltsangabe:

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.