DESIGNING RELIABILITY AND ENERGY EFFICIENT SOLUTION FOR LARGE SCALE NETWORKS
Journal: International Journal of Engineering Sciences & Research Technology (IJESRT) (Vol.6, No. 1)Publication Date: 2017-01-30
Authors : Koteswara Rao Medaboina; N. Kameshwara Rao;
Page : 443-447
Keywords : Cloud computing; virtualization; performance evaluation; fault - tolerance; metrics/measurement; Mobile computing; cloud computing; mobile cloud; energy - efficient computing; resource management .;
Abstract
Technology and its limitation is today's world one of the best tool to make a sense of re - search which is the green field in the Information Technology or we call automation industry. If we look forward to the best of the Industrial world where Technology is the use of Information technology organization especial ly service based organization, provides a solution telling so and so high approaches. But we know the crackers and hackers may be ethical or any other which in this paper we have given the cryptographic acknowledgement based solution generated randomly for the mobile cloud; leads to the Data centers where Data is crucial. Cloud Infrastructure which needs to be optimized for the fault tolerant and performance evaluation is the measure metrics in the current trend of the IT Industry. Hence; in the context we have pulled the concept of the Pick time and load the data center with its alternative to the geographical location in the map reduce programming approach leads to the attriculative best solution for the mobile based cloud data.
Other Latest Articles
- RealBDA: A REAL TIME BIG DATA ANALYTICS FOR REMOTE SENSING DATA BY USING MAPREDUCE PARADIGM
- AMBIENT AIR QUALITY MONITORING AND HEALTH IMPACT STUDY OF AIR POLLUTION NEAR JODA OF KEONJHAR, ODISHA, INDIA
- SURVEY: A COMBINE APPROACH OF FEATURE SELECTION AND DIFFERENT CLUSTERING TECHNIQUE IN BREAST CANCER GENE DATA
- SURFACE WATER QUALITY ASSESSMENT DURING IDOL IMMERSION
- DYNAMIC APPROACH FOR SECURE DEDUPLICATION OF DATA OVER THE COLUD
Last modified: 2017-01-31 18:44:36