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Proposed Abelian ACM Optimizing the Risk and Maximize DSS on RTOS

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  • Padma Lochan Pradhan

    (Department of Computer Science and Engineering, Central Institute of Technology, Naya Raipur, Chhattisgarh, India)

Abstract

Now a day, there is a rapid growing of business, resources and technology, mean while increasing with the requirement of electronic commerce for the sophisticated societies in around the globe. During this process increasing the uncertainty, un order, un safe and un setup due to un authorize users, hackers & down time of communication system. Our objective to determine and resolve these uncertainty problems to develop this proposed Abelian ACM to optimize the resources and technology and maximize the business and quality of services for all the time and every time to co-op with pervasive, ubiquitous and autonomy system. The relation, function, operation and services is the vital role for all aspect of multiples societies, business and technologies in around the cloud. Meanwhile, it will be more accountable for performance, fault tolerance, throughput, bench marking and risk optimization on any web services for all the time. We have to make more simplification, unification and step by step normalization by applying Abelian UFS ACM mechanism based on distributed object oriented system on multi dimensional work culture for management. This ACM will be more helpful to top management for decision making system.

Suggested Citation

  • Padma Lochan Pradhan, 2014. "Proposed Abelian ACM Optimizing the Risk and Maximize DSS on RTOS," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), IGI Global, vol. 6(3), pages 1-14, July.
  • Handle: RePEc:igg:japuc0:v:6:y:2014:i:3:p:1-14
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