InformationSupport Systems (ISS) are computer technology/network support systems that interactively support the information processing mechanisms for individuals and groups in life, public, and private organizations, and other entities. With the increasing use of technology in modern times, there is a growing requirement of Information Support Systems for the organizations.Over some decades in the past, organizations have put efforts to be at the forefront of the development and application of computer-based Information Support Systems to collect, analyze and process the data and generate information to support decisions. Various computing paradigms have been employed for the purpose and needs have emerged for enormous infrastructure, unlimited system accessibility, cost effectiveness, increased storage, increased automation, flexibility, system mobility and shift of IT focus. This paper presents a brief evaluation on how Cloud Computing paradigm can be used to meet the increasing demands of the Information Support Systems and how Cloud Computing paradigm can prove to be future solution for such systems.
The Internet of Things (IoT) has arisen as a novel prospect in the recent years. This has presented the notion that all devices such as smartphones, public services, conveyance facilities, and home appliances can be viewed as data creator devices. The Cloud Computing framework for IoT highlighted in this work has potential to act as a data storage system supporting IoT devices utilized to improve data processing efficiency and offer a huge competitive advantage to the IoT applications. The purpose of this study is to examine the work done on IoT using big data as well as data mining methods to recognize focuses that must be highlighted further. Some focus is made on data mining technologies integrated with IoT technologies for decision making support and system optimization as data mining involves discovering novel, interesting, and potentially useful patterns from data and applying algorithms to the extraction of hidden information.
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