How smart is your tourist attraction?: Measuring tourist preferences of smart tourism attractions via a FCEM-AHP and IPA approach

Cloud computing is rapidly growing as an alternative to conventional computing. However, it is based on models like cluster computing, distributed computing, utility computing and grid computing in general. This paper presents an end-to-end comparison between Cluster Computing, Grid Computing and Cloud Computing, along with the challenges they face. This could help in better understanding these models and to know how they differ from its related concepts, all in one go. It also discusses the ongoing projects and different applications that use these computing models as a platform for execution. An insight into some of the tools which can be used in the three computing models to design and develop applications is given. This could help in bringing out the innovative ideas in the field and can be explored to the needs in the computing world.

Cluster, grid and cloud computing: A detailed comparison

The paper researches the part of Internet of Things (IOT) in Agricultural Sector. Today agriculture is inserted with propel benefit like GPS, sensors that empower to impart to each other break down the information and further more trade information among them. IT gives benefit as cloud to farming. Agriculture cloud and IT benefit gives an exceptional ability administration to ranchers with respect to development of yields, estimating, composts, maladies detail technique for cure to be utilized Scientist taking a shot at agriculture will give their disclosures, proposals with respect to cutting edge procedures for development, utilization of manures can get the history of the area. The review depended on applying a cloud construct application in light of agriculture. This depends on agro-cloud that upgradeagricultural generation and accessibility of information identified with research extends in the fizzled, the effect of doing this will spare the cost and time make the correspondence simpler and speedier. This paper would advance a ton of research in the region of use of IOT in agriculture.

IOT agriculture to improve food and farming technology

This article in view of the popular cloud computing, analyzed the meaning of cloud computing, summarized the concept and the core ideas of Mobile cloud computing; Described the basic model, workflow and architecture of Mobile cloud computing; Pointed out many problems about Mobile cloud computing, gave the solving methods; Summarized the development of Mobile cloud computing.

Review of Mobile cloud computing

Cloud computing is the coming new era of information processing and has proved its benefits in high scalability and functional diversity. However, almost all cloud-computing architectures including SaaS, PaaS, and IaaS are vulnerable to serious security issues. Similarly, Mobile Cloud Computing (MCC) is vital to overcoming mobile limited storage and computing capabilities. MCC authentication and authorization issues must be provided on two levels: login password control and the environment from where the cloud is accessed. MCC has overcome the barrier of limited storage by providing remote storage but requires a strict security system that is responsible for retrievability, integrity, and seamless storage access. Elasticity and connectivity are also of major concern in MCC because delays and jitters cause degradation in the user experience. Cloud-computing architecture creates more challenges in maintaining security because of the liberty of users to choose any MCC architecture. Thus in this paper we discuss current cloud computing issues and future directions.

Toward Advanced Mobile Cloud Computing for the Internet of Things: Current Issues and Future Direction

Cloud computing and its key techniques: Cloud computing and its key techniques

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Cloud computing and its key techniques: Cloud computing and its key techniques