The objective of design patterns is to make design robust and to abstract reusable solutions behind expressive interfaces, independent of a concrete platform. They are abstracted away from the complexity of underlying and enabling technologies. The connected things in IoT tend to be diverse in terms of supported protocols, communication methods and capabilities, computational power and storage. This motivates us to look for more cost-effective and less resource-intensive IoT microservice models. We have identified a wide range of design disciplines involved in creating IoT systems, that act as a seamless interface for collaborating heterogeneous things, and suitable to be implemented on resource-constrained devices. The IoT patterns covered in this paper vary in their granularity and level of abstraction. They are inter-related, well-structured design artifacts, providing efficient and reliable solutions to recurring problems discovered by IoT system architects. The authors offer sound advice for designing, building, and scaling with cross-device interactions inherent in complex IoT ecosystems.

IoT Design Patterns: Computational Constructs to Design, Build and Engineer Edge Applications

Cloud computing is rapidly gaining traction in business. It offers businesses online services on demand (such as Gmail, iCloud and Salesforce) and allows them to cut costs on hardware and IT support. This is the first paper in business ethics dealing with this new technology. It analyzes the informational duties of hosting companies that own and operate cloud computing datacentres (e.g., Amazon). It considers the cloud services providers leasing ‘space in the cloud’ from hosting companies (e.g., Dropbox, Salesforce). And it examines the business and private ‘clouders’ using these services. The first part of the paper argues that hosting companies, services providers and clouders have mutual informational (epistemic) obligations to provide and seek information about relevant issues such as consumer privacy, reliability of services, data mining and data ownership. The concept of interlucency is developed as an epistemic virtue governing ethically effective communication. The second part considers potential forms of government restrictions on or proscriptions against the development and use of cloud computing technology. Referring to the concept of technology neutrality, it argues that interference with hosting companies and cloud services providers is hardly ever necessary or justified. It is argued, too, however, that businesses using cloud services (e.g., banks, law firms, hospitals etc. storing client data in the cloud) will have to follow rather more stringent regulations.

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The Ethics of Cloud Computing

Privacy is a current topic in the context of digital services because such services demand mass volumes of consumer data. Although most consumers are aware of their personal privacy, they frequently do not behave rationally in terms of the risk-benefit trade-off. This phenomenon is known as the privacy paradox. It is a common limitation in research papers examining consumers’ privacy intentions. Using a design science approach, we develop a metric that determines the extent of consumers’ privacy paradox in digital services based on the theoretical construct of the privacy calculus. We demonstrate a practical application of the metric for mobile apps. With that, we contribute to validating respective research findings. Moreover, among others, consumers and companies can be prevented from unwanted consequences regarding data privacy issues and service market places can provide privacy-customized suggestions.

The disclosure of private data: measuring the privacy paradox in digital services

In studying by simulation, choosing an appropriate software would be a difficult task because many are available. On the other hand, few researches focus on classification of simulation tools/langu...

Discrete simulation software: a survey on taxonomies

The diversity of IoT services and applications brings enormous challenges to improving the performance of multiple computer tasks’ scheduling in cross-layer cloud computing systems. Unfortunately, the commonly-employed frameworks fail to adapt to the new patterns on the cross-layer cloud. To solve this issue, we design a new computer task scheduling framework for multiple IoT services in cross-layer cloud computing systems. Specifically, we first analyze the features of the cross-layer cloud and computer tasks. Then, we design the scheduling framework based on the analysis and present detailed models to illustrate the procedures of using the framework. With the proposed framework, the IoT services deployed in cross-layer cloud computing systems can dynamically select suitable algorithms and use resources more effectively to finish computer tasks with different objectives. Finally, the algorithms are given based on the framework, and extensive experiments are also given to validate its effectiveness, as well as its superiority.

A General Cross-Layer Cloud Scheduling Framework for Multiple IoT Computer Tasks.

Cloud computing has materialized as a new platform in the field of Computer Science. It is Internet-based computing, where in hardware and software resources are provided to user’s on-demand. Cloud computing provides a platform with an enhanced and efficient way to store data in the cloud server with different range of capabilities and applications. Different cloud computing models allow access to information and computer resources from anywhere a network connection is available. Cloud services include online file storage, social networking sites, webmail and online business applications. It provides a shared pool of configurable computing resources, including data storage space, networks, computer processing power and specialized corporate and user applications with minimal management effort or service provider interaction. This research paper presents what cloud computing is, share some information regarding the different aspects of cloud computing , the various cloud models and the overview of the cloud computing architecture. We also discuss cloud computing features and security issue, cloud computing challenges and the future of cloud computing.

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Sakshi

Papers

Cloud Computing Concept, Technology and Architecture