Community Research and Development Information Service - CORDIS

H2020

iKaaS Report Summary

Project ID: 643262
Funded under: H2020-EU.2.1.1.

Periodic Reporting for period 2 - iKaaS (intelligent Knowledge-as-a-Service Platform)

Reporting period: 2015-10-01 to 2016-09-30

Summary of the context and overall objectives of the project

iKaaS has been developing an intelligent, privacy preserving and secure Big Data resource and an analytics engine built atop a multi-cloud infrastructure, that will be fed with large scale ubiquitous data collected from heterogeneous sensing networks and data sources, including cyber-physical systems, wearable sensors, and social or crowd-sources.
The Internet of Things (IoT) paradigm is rapidly gaining traction in modern wireless telecommunications. The IoT concept is based on the pervasive presence around us of a variety of things with active or passive sensory and identification capabilities, such as RFID tags, environmental sensors, actuators, mobile phones; all of which can interact and cooperate with each other and can generate vast amounts of data that can be stored and analysed on cloud environments. Thus, several disconnected efforts towards the merger of the IoT and the cloud paradigms are already taking place and yet for various reasons, vast quantities of potentially correlated data are not analysed in correlated contexts. The (justified) fear about privacy and security of personal information sensed through ubiquitous devices and analysed on public clouds hinders user participation. The lack of credible heterogeneous multi-cloud environments is a stopping factor for integrated data analysis. Legal reasons complicate matters further and have to do with data ownership, legal compatibility, absence of cross-border coordination and so on.
If realized, a unified data/knowledge base, in our view, is set to unlock a never-before-seen potential in data mining based on the Big Data from ubiquitous sensors of various types allowing for the development and introduction of various added-value services. In order to achieve this ambitious target, the iKaaS project has identified and has been working towards the following objectives:
• Define a unified data model based on the Semantic Web for data collected from IoT and stored in cloud platforms
• Define and develop the various concepts in trust-management
• Develop and implement a decentralized heterogeneous and secure-by-design multi-cloud environment spanning across borders
• Build an analytics engine to realize the notion of Knowledge-as-a-Service platform
• Develop more than one applications for validation
• Validate the analytics methodology and determine the utility of the distributed knowledge-base through experiments in model smart cities and smart homes

Work performed from the beginning of the project to the end of the period covered by the report and main results achieved so far

"During Year 1 and Year 2, significant work has taken place to deliver a secure, robust and scalable multi-cloud platform. Towards this end a set of use cases (4 in total) in the broader smart cities/homes area was identified, not only matching the interests and daily business of project partners, but also calling inherently for the joint consideration of IoT, Big Data and Cloud challenges and work has been ongoing for the detailed definition of the operational scenarios to showcase the cross-border value proposition that interconnection of EU and JP local installations can bring. The ethical and privacy issues that may arise in a cross-border setup were also identified and appropriate processes and measures have been put in place.
With respect to the iKaaS platform, following a structured and joint consideration of IoT, Big Data and Cloud requirements, the architecture of the iKaaS platform together with the interfaces specification has been finalized. The architecture further decomposes the original idea of a multi-cloud environment onto a set of components and their needed functionalities for accommodating the whole lifecycle of a service rolled out using the iKaaS platform. The platform design also supports the notion of "Knowledge as a Service (KaaS)" allowing third parties to become both consumers as well as providers of data (raw or processed) and even functionalities of/to the platform.
The identified components and supported functionalities were further elaborated with their final specification and algorithmic implementation being delivered together with data model components of the unified iKaaS data model. The project also started implementing the components for use and manipulation in cloud infrastructures in formats widely supported to maximize further uptake and integration of components in iKaaS platform instantiations, which allowed for a first initial evaluation of the uses cases, also took place.
As an outcome of Year 1 and Year 2 work, iKaaS first established and extended a strong and solid “know-how”, which then was then leveraged for development and implementation of platform components that support the objectives set out by the project. In addition to real-life use case validation, which is ongoing, this has also led to a considerable number of publications, as well as to standardization contributions and filling of patents."

Progress beyond the state of the art and expected potential impact (including the socio-economic impact and the wider societal implications of the project so far)

iKaaS is expected to simplify the management of both Cloud and IoT infrastructures, thus reducing the need for human intervention and consequently leading to lower OPEX. The iKaaS autonomic service management approach will allow for more efficient use of resources. In addition, the iKaaS concept brings in to the “legacy” notion of Cloud, additional data sources, storage and processing capabilities, that can increase the “capacity” that the Cloud can provide for service execution. All these can lead to a decrease of CAPEX for Cloud, IoT and network providers while the KaaS notion can facilitate access for SME service providers (faster deployment, lower required CAPEX). From a societal perspective, iKaaS will have significant impact on improving quality of life as well as increasing productivity, allowing increased availability, reliability and performance in the provision of IoT and Cloud services. The project pursued use cases will play a key role in highlighting the quality of life benefits that service offerings, built atop the iKaaS platform, can bring to members of the general public as well as for deriving, through real-life testing, useful lessons for leveraging cloud technologies for service provisioning, especially in the broader Smart City context.
iKaaS is also considering the issue of data transfer across borders. In that direction, issues that can affect the flow of data between EU and Japan and ways to ease and foster data sharing are being researched. The outcomes of these are expected to be useful for the ongoing policy work and discussions on the EU’s Digital Single Market Policies.
Exploitation of iKaaS results by the project partners has been mainly in terms of scientific/research outcomes published in conferences, journals and workshops and building/enhancing the necessary “know-how” in the joint consideration of IoT, Big Data and Cloud. At a later stage these outcomes are expected to also make the way into products and services coming from the industrial partners of the consortium, as well as in academic and research exploitation. The exploitation of the iKaaS results and the “know how” developed also have the potential of leading to spin-off ventures as well as follow-up research initiatives.
In addition, the public companies and public administration authorities participating in the consortium are committed into rolling out services for the general public in their vicinity, leveraging the iKaaS platform. This will serve as a live example of the benefits the iKaaS platform can bring, potentially attracting interest from other, similar in nature, stakeholders.

Related information

Record Number: 186562 / Last updated on: 2016-07-13
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