27 research outputs found

    Introductory Chapter: Cloud Computing

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    Introductory Chapter: Cloud Computing Security Challenges

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    Introductory Chapter: Data Assimilation

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    Introductory Chapter: Search Algorithm - Essence of Optimization

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    An Adaptive Task Scheduling in Fog Computing

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    Internet applications generate massive amount of data. For processing the data, it is transmitted to cloud. Time-sensitive applications require faster access. However, the limitation with the cloud is the connectivity with the end devices. Fog was developed by Cisco to overcome this limitation. Fog has better connectivity with the end devices, with some limitations. Fog works as intermediate layer between the end devices and the cloud. When providing the quality of service to end users, scheduling plays an important role. Scheduling a task based on the end users requirement is a tedious thing. In this paper, we proposed a cloud-fog task scheduling model, which provides quality of service to end devices with proper security

    Introductory Chapter: Coding Theory

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    e-CRM – Data Modeling Using Adaptive Neuro Fuzzy model

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    With customer increasingly demanding full-scale solutions, insurance companies like any other service industries are more and more forced to continuously increase their portfolio and services. This paper presents a cross-disciplinary conceptual framework for understanding electronic commerce. The definition of electronic commerce for this paper is commerce that directly utilizes combinations of computing and communications technologies in some or all aspects of the interactions between a business and its customers. Building and maintaining customer loyalty are important issues in electronic business. Customer loyalty and customer equity can be improved by providing customer services, sharing cost benefits with online customers, and rewarding the most valued customers. Personalization, which was earlier recognized as the 5th P of e-marketing, is now becoming a strategic success factor in the present customer-centric e-business environment. As customer also expects high quality and variety of services when needed, insurance companies have to find ways to present the right service at the right moment and with the right quality. This paper presents a framework, showing a possibility to personalize e-business processes by adapting the interactive system to customer preferences. The research has empirically tested the critical factors that influence an individuals decision when buying products or services online. The proposed model applies Adaptive Neuro-Fuzzy model to converging business processes to get the desired results based on the gaps found in the literature. The system is adaptive as it uses a neural network learning ability for its adaptation

    Artificial Intelligence - Scope and Limitations

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    Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges

    Cloud Computing - Technology and Practices

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    In the era of the Internet of Things and Big Data, Cloud Computing has recently emerged as one of the latest buzzwords in the computing industry. It is the latest evolution of computing, where IT recourses are offered as services. Cloud computing provides on-demand, scalable, device-independent, and reliable services to its users. The exponential growth of digital data bundled with the needs of analysis, processing and storage, and cloud computing has paved the way for a cheap, secure, and omnipresent computing framework allowing for the delivery of enormous computing and storage capacity to a diverse community of end-recipients. Clouds are distributed technology platforms that leverage sophisticated technology innovations to provide highly scalable and resilient environments that can be remotely utilized by organizations in a multitude of powerful ways. The term cloud is often used as a metaphor for the Internet and can be defined as a new type of utility computing that basically uses servers that have been made available to third parties via the Internet
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