Skip to search formSkip to main contentSkip to account menu

Aggregating and Managing Big Realtime Data in the Cloud - Application to Intelligent Transport for Smart Cities

This paper presents the approach for developing data storage, data cleaning and data integration services to make an efficient decision support system and proposes big data management strategies for data produced by transport infrastructures, whilst maintaining cost effective systems deployed on the cloud.
View via Publisher (opens in a new tab)

A cloud-based platform to ensure interoperability in aerospace industry

The work innovatively combines a two-phase semantic data mediation model to ensure interoperability, a cloud-based platform to enable complex collaboration scenarios and an implementation and the evaluation of the proposed approach in the aerospace industry.
View on Springer (opens in a new tab)

Linked USDL Extension for Describing Business Services and Users' Requirements in a Cloud Context

How to extend Linked USDL in a way that permits to describe the services of a marketplace in support of automating the provisioning of service-oriented cloud-based business applications along with satisfying users' requirements is discussed.
View via Publisher (opens in a new tab)

Resolving Interoperability in Concurrent Engineering

This chapter describes an innovative approach to build interoperability based on a Federated Framework of legacy eBusiness standards of a given ecosystem that implies facing important issues related to semantic preservation along the lifecycle of the artifacts and infrastructures required to define and exploit an application.
View via Publisher (opens in a new tab)

Towards Blockchain Interoperability: Improving Video Games Data Exchange

An original data representation of blockchain gaming assets in order to improve data exchanges in this industry and an architecture aiming to easily link existing decentralized technologies and blockchains are proposed.
View on IEEE (opens in a new tab)

An Application Domain-Based Taxonomy for IoT Sensors

This paper presents the identification and categorization of the main sensors used these days to build IoT applications, arranged in a taxonomy of application domains and sensor measurement types, in the hope it can provide IoT designers, developers, and researchers with a snapshot of how sensors are currently used in the IoT application domains.
View via Publisher (opens in a new tab)

Towards Cloud Big Data Services for Intelligent Transport Systems

This paper presents a big data infrastructure using service oriented architecture that combines the high scalability of Cloud and the use of specialized services in a services oriented architecture to develop efficient and scalablebig data infrastructure adapted to transport systems.
View via Publisher (opens in a new tab)

Cloud-Based Business Applications Development Methodology

A "requirements vocabulary" is defined, which is based on linked USDL principles and aims to describe the application requirements in a high level of abstraction of the development details and avoids the huge technical background needed for cloud application development by automating the process of development.
View on IEEE (opens in a new tab)

NALDO: From natural language definitions to OWL expressions

View via Publisher (opens in a new tab)

Avoiding Lock-In: Timely Reconfiguration of a Virtual Cloud Platform on Top of Multiple PaaS and IaaS Providers

We describe our work with a major telecom company in creating a broker that enables them to retain independence from the various PaaS and IaaS providers that they use to support their own SaaS offer…
View on IEEE (opens in a new tab)
...
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)