Process-oriented Enterprise Mashups

Mashups, a new Web 2.0 technology provide the ability for easy creation of Web-Based applications by end-users. The uses of the mashups are often consumer related. In this paper we explore how mashups can be used in the enterprise area and hat the criteria for enterprise mashups are. We provide categories for the classification of enterprise mashups, and based upon a motivating example we go further in depth on business process enterprise mashup

Enabling Innovation across the Enterprise through Mashup-oriented Collaboration Environments

Nowadays enterprise collaboration is becoming essential for valuable innovation and competitive advantage. This collaboration must be brought a step forward from technical collaboration till collective smart exploitation of global intelligence. The Internet of Future is expected to be composed of a mesh of interoperable Web Services accessed from all over the Web. This approach has not yet caught on since a global user-service interaction is still an open issue. This paper states our vision with regard to the next generation front-end web technology that will enable integrated access to services, contents and things in the Future Internet. This approach will enable the massive deployment of services over Internet in a user-centric fashion. Having this in mind, the rationale behind EzWeb, a reference architecture and implementation of an open Enterprise 2.0 Collaboration Platform that empower its users to co-produce and share instant applications is presente

Towards an institutional PLE

PLEs in their broader sense (the ad-hoc, serendipitous and potentially chaotic set of tools that learners bring to their learning) are increasingly important for learners in the context of formal study. In this paper we outline the approach that we are taking at the University of Southampton in redesigning our teaching and learning infrastructure into an Institutional PLE. We do not see this term as an oxymoron. We define an Institutional PLE as an environment that provides a personalised interface to University data and services and at the same time exposes that data and services to a student’s personal tools. Our goal is to provide a digital platform that can cope with an evolving learning and teaching environment, as well as support the social and community aspects of the institution

EzWeb/FAST: Reporting on a Successful Mashup-based Solution for Developing and Deploying Composite Applications in the Upcoming Web of Services

Service oriented architectures (SOAs) based on Web Services have attracted a great interest and IT investments during the last years, principally in the context of business-to-business integration within corporate intranets. However, they are nowadays evolving to break through enterprise boundaries, in a revolutionary attempt to make the approach pervasive, leading to what we call a user-centric SOA, i.e. a SOA conceived as a Web of Services made up of compositional resources that empowers end-users to ubiquitously exploit these resources by collaboratively remixing them. In this paper we explore the architectural basis, technologies, frameworks and tools considered necessary to face this novel vision of SOA. We also present the rationale behind EzWeb/FAST: an undergoing EU funded project whose first outcomes could serve as a preliminary proof of concep

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

Prioritizing policy tools to support development of IoT technologies in Iran

The Internet of Things is a new perspective on the information technology industry that encompasses all technical, social and economic concepts. Identifying priority application areas for this technology is one of the key points for its effective use. Governments also have a variety of tools for policy-making to support the development of this technology. Therefore, knowing which tool has a higher priority for support is a very important point that can not only prevent the loss of resources but also improve the speed of development. In this research, using the opinion of experts and using the TOPSIS method, an attempt has been made to identify the priority of IoT application areas as well as the priority of government support policy tools in these areas. The results of this research have shown that the important areas in this field respectively are Smart cities, Factories and industries, Shipping, Healthcare, Supply chain management, Buildings and houses and finally Agriculture and animal husbandry. Also Government policy tools respectively, in order of priority, are Financial and Investment Incentives, Flexible regulatory, Tax Exemption, Deploying IOT applications in E-government, Standards and Accreditation, Technology Infrastructure, Macro Policies, Application Infrastructure, Cybersecurity Regulation, Privacy Regulation

A Survey on Home Automation System Using IOT

Today?s world is agile and modern world. Everything is in this world enhancing digitization using internet. Internet is only one source through which man can discover smart world. Using Automation effort of doing task has reduced abruptly. With the expeditious expanding the figure of internet user the past decade has made the internet as factor of his life and IoT is the current and latest internet technology. Internet of things is a developing network of everyday activity from industrial machine to consumer goods that can contribute the information and complete tasks while you are busy with other activities. Wireless Home Automation system using IoT is a system that adopts the computers system or mobile devices to control essential home purpose and features undoubtedly through internet from anywhere around the world, an automated home is frequently called a smart home. It implies to save the electricity and human energy. Wireless Home Automation System using IoT is the system that controls the home appliances like speed of fan, light and temperature using the mobile phone anywhere around the globe through internet

Towards the Resilient Operator 5.0: The Future of Work in Smart Resilient Manufacturing Systems

Most recently, the COVID-19 pandemic has shown industries all around the world that their current manufacturing systems are not as resilient as expected and therefore many are failing. The workforce is the most agile and flexible manufacturing resource and simultaneously the most fragile one due to its humanity. By making human operators more resilient against a range of factors affecting their work and workplaces, enterprises can make their manufacturing systems more resilient. This paper introduces "The Resilient Operator 5.0" concept, based on human operator resilience and human-machine systems\u27 resilience, providing a vision for the future of work in smart resilient manufacturing systems in the emerging Industry 5.0 hallmark. It suggests how to achieve appropriate smart manufacturing systems\u27 resilience from a human-centric perspective through the means of the Operator 4.0 typology and its related technical solutions