1st Annual Review Tokyo, Nov 12 th 2015 Prof Klaus Moessner, - - PowerPoint PPT Presentation

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Intelligent Knowledge-as-a-Service

WP1: Project Coordination and Management

1st Annual Review

Tokyo, Nov 12th 2015 Prof Klaus Moessner, University of Surrey Dr Yutaka Miyake, KDDI-Labs

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Intelligent Knowledge-as-a-Service

Outline

• Overview of WP1
• Year 1 Progress and Achievements
• Resource Expenditure
• Plan for Y2
• Overview of Project Progress

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Overview

• Tasks
• T1.1: Project Management and Reporting (M1-M36)
• UNIS, KDDI-labs
• T1.2: Technical Management (M1-M36)
• CNET
• T1.3: Risk Management and Quality assurance (M1-M36)
• CNET, ATOS

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Year 1 progress and achievements (1/3)

• Project handbook produced providing partners with

guidelines and information on:

• Management roles and responsibilities
• Management reporting documents
• Quality assurance procedures
• Risk management procedures
• Publication procedures
• Use of document manager
• Use of mailing lists
• General administration
• 1st iKaaS technological roadmap produced setting out the

main technological directions in the WPs in accordance to progress in research, industry and standards

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Year 1 progress and achievements (2/3)

• Amendment to the DoW produced
• follows the PO recommendations
• provides a new and more specific work description
• updated timings of milestones and deliverables that also capture

requirements that came from the JP side

• New consortium agreement produced
• Pre-finance distributed
• Project tools setup
• Document manager
• Mailing lists
• Web-conferencing platform
• Deliverable/presentation templates

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Year 1 progress and achievements (3/3)

• Two general assemblies held
• Guildford, UK, 16-18 December 2014
• Sendai, Japan, 27-29 May 2015
• Three management deliverables produced
• D1.1 iKaaS Handbook
• D1.5 1st iKaaS Technological Roadmap
• D1.2 1st iKaaS Project Progress Report
• Twelve project deliverables in total produced
• Two key project milestones achieved

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Resource Expenditure - WP1

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Resource Expenditure - WP2

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Resource Expenditure - WP3

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Resource Expenditure - WP4

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Resource Expenditure - WP5

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Resource Expenditure - WP6

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Resource Expenditure - Overall (1/2)

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Resource Expenditure - Overall (2/2)

 For EU partners the costs for Y1 are as below

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Plan for Year 2

• Address any review recommendations
• Swiftly process 2nd project payment
• Maintain working rapport
• Continue to provide financial and legal support
• Continue to ensure quality
• Review planned resource expenditure

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Overview of Project Progress (1/3)

• Details will come in the WP2-6 presentations; it is worth

mentioning here that in terms of the project objectives

• Objective 1: Define a universal data model based on the Semantic Web for

data collected from IoT and stored in cloud platforms

• Y1 measurable success factors
• Delivery of D2.1 (data model components) (achieved)
• Fulfilment of MS2 (achieved)
• Objective 2: Define and develop the various concepts in trust-

management-by-design for the data

• Y1 measurable success factors
• Delivery of D3.1 (mechanisms for security and privacy) (achieved)
• Delivery of D5.5 (compliance with ethical standards) (achieved)
• Fulfilment of MS2 (achieved)

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Overview of Project Progress (2/3)

• Objective 3: Develop and implement a decentralized heterogeneous

secure multi-cloud environment spanning across borders

• Y1 measurable success factors
• Delivery of D2.1 (data processing and knowledge acquisition) (achieved)
• Delivery of D3.1 (service (de)composition/migration) (achieved)
• Delivery of D4.1 (draft architecture) (achieved)
• Fulfilment of MS2 (achieved)
• Objective 4: Knowledge-as-a-Service platform
• Y1 measurable success factors
• Delivery of D2.1 (data processing and knowledge acquisition) (achieved)
• Delivery of D3.1 (platform/system knowledge concepts) (achieved)
• Fulfilment of MS2 (achieved)

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Overview of Project Progress (3/3)

• Objective 5: Develop more than one applications for validation
• Y1 measurable success factors
• Delivery of D5.1 (application scenarios definition) (achieved)
• Fulfilment of MS2 (achieved)
• Objective 6: Validate the analytics methodology and determine the utility
• f the distributed knowledge-base through experiments in model smart

cities and smart homes

• Not applicable in Y1

 Plan for Y2:  Continue/intensify work in tasks carrying over to Y2  Kick-off tasks planned to start in Y2

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Thank you!