WP1: Project Coordination and Management 1st Annual Review Tokyo, Nov 12 th 2015 Prof Klaus Moessner, University of Surrey Dr Yutaka Miyake, KDDI-Labs Intelligent Knowledge-as-a-Service 1
Outline Overview of WP1 Year 1 Progress and Achievements Resource Expenditure Plan for Y2 Overview of Project Progress Intelligent Knowledge-as-a-Service 2
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 Intelligent Knowledge-as-a-Service 3
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 1 st iKaaS technological roadmap produced setting out the main technological directions in the WPs in accordance to progress in research, industry and standards Intelligent Knowledge-as-a-Service 4
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 Intelligent Knowledge-as-a-Service 5
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 1 st iKaaS Technological Roadmap D1.2 1 st iKaaS Project Progress Report Twelve project deliverables in total produced Two key project milestones achieved Intelligent Knowledge-as-a-Service 6
Resource Expenditure - WP1 Intelligent Knowledge-as-a-Service 7
Resource Expenditure - WP2 Intelligent Knowledge-as-a-Service 8
Resource Expenditure - WP3 Intelligent Knowledge-as-a-Service 9
Resource Expenditure - WP4 Intelligent Knowledge-as-a-Service 10
Resource Expenditure - WP5 Intelligent Knowledge-as-a-Service 11
Resource Expenditure - WP6 Intelligent Knowledge-as-a-Service 12
Resource Expenditure - Overall (1/2) Intelligent Knowledge-as-a-Service 13
Resource Expenditure - Overall (2/2) For EU partners the costs for Y1 are as below Intelligent Knowledge-as-a-Service 14
Plan for Year 2 Address any review recommendations Swiftly process 2 nd project payment Maintain working rapport Continue to provide financial and legal support Continue to ensure quality Review planned resource expenditure Intelligent Knowledge-as-a-Service 15
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) Intelligent Knowledge-as-a-Service 16
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) Intelligent Knowledge-as-a-Service 17
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 of 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 Intelligent Knowledge-as-a-Service 18
Thank you! Intelligent Knowledge-as-a-Service 19
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