Difference between revisions of "SCOTT:WP24"
From its-wiki.no
Josef.Noll (Talk | contribs) |
Josef.Noll (Talk | contribs) |
||
Line 5: | Line 5: | ||
|Lead partner=Telenor | |Lead partner=Telenor | ||
|Leader=Do van Thanh | |Leader=Do van Thanh | ||
− | |Partner=UiO, | + | |Partner=TELENOR ASA, VIF, AVL, CENTRIA, CISC, FSC, FEV Polska, HIOA, INDRA, ITI, INTEGRASYS, JIG.ES, KTH, Wolffia, PRE, RD VELHO, RTE, SICS, SMARTIO, IMEC-NL, TU Delft, TU GRAZ, TELLU AS, VTT, Tyco, UCC, UiO, VEMCO SP ZOO, |
− | |Objective= | + | |Objective=Distributed cloud integration of wireless sensor networks will enable sensor/actuator data to be centrally controlled, to be added to blogs, virtual communities and social networking applications. From an industrial point of view, having data available in a cloud will significantly facilitate maintenance, administration; ease data mining as well as interoperability with available networked systems. Current solutions on the Internet of Things consumer market are mostly proprietary and vendors are thus trying to push their own eco-system to gain a higher market share. |
+ | In an industrial context, the integration of wireless sensor networks into cloud services is still in its infancy due to different application requirements, backward compatibility issues, a higher number of stakeholders (e.g. suppliers) and not to be underestimated because of administration effort. Current solutions lack common mechanisms, protocols and interfaces for cloud integration and personal data protection. In particular, sensors and actuators connected to each other via different access networks have difficulties talking securely to each other and require significant manual configuration and updating. | ||
+ | Figure 83 shows a simplified view of distributed sensors and actuators connected to a cloud. | ||
+ | We address these main challenges with following objectives: | ||
+ | * Integration of industrial WSNs into the Internet and cloud computing architectures | ||
+ | * Support for distributed wireless sensor nodes amongst access networks and distributed cloud servers (e.g. edge computing) with support for privacy and security | ||
+ | * Support for movement of wireless sensor nodes from one access network to another without manual configuration | ||
}} | }} | ||
{{#set:Page Link=[[{{FULLPAGENAME}}|{{{BASEPAGENAME|}}}]]}} | {{#set:Page Link=[[{{FULLPAGENAME}}|{{{BASEPAGENAME|}}}]]}} |
Revision as of 17:27, 24 June 2017
WP24 - Distributed Cloud Integration
WP Title: | Distributed Cloud Integration |
---|---|
Project: | SCOTT |
Lead partner: | Telenor |
Leader: | Do van Thanh |
Contributors: | TELENOR ASA, VIF, AVL, CENTRIA, CISC, FSC, FEV Polska, HIOA, INDRA, ITI, INTEGRASYS, JIG.ES, KTH, Wolffia, PRE, RD VELHO, RTE, SICS, SMARTIO, IMEC-NL, TU Delft, TU GRAZ, TELLU AS, VTT, Tyco, UCC, UiO, VEMCO SP ZOO |
Objective
Distributed cloud integration of wireless sensor networks will enable sensor/actuator data to be centrally controlled, to be added to blogs, virtual communities and social networking applications. From an industrial point of view, having data available in a cloud will significantly facilitate maintenance, administration; ease data mining as well as interoperability with available networked systems. Current solutions on the Internet of Things consumer market are mostly proprietary and vendors are thus trying to push their own eco-system to gain a higher market share. In an industrial context, the integration of wireless sensor networks into cloud services is still in its infancy due to different application requirements, backward compatibility issues, a higher number of stakeholders (e.g. suppliers) and not to be underestimated because of administration effort. Current solutions lack common mechanisms, protocols and interfaces for cloud integration and personal data protection. In particular, sensors and actuators connected to each other via different access networks have difficulties talking securely to each other and require significant manual configuration and updating. Figure 83 shows a simplified view of distributed sensors and actuators connected to a cloud. We address these main challenges with following objectives:
- Integration of industrial WSNs into the Internet and cloud computing architectures
- Support for distributed wireless sensor nodes amongst access networks and distributed cloud servers (e.g. edge computing) with support for privacy and security
- Support for movement of wireless sensor nodes from one access network to another without manual configuration
WP24 - Distributed Cloud Integration
Partners in WP24
Tasks in WP24
T24.1 Cloud Integration
- Objective: This task will coordinate all building blocks related to cloud technologies
- Expected results: list of building blocks (M04), demonstration of selected building blocks (M34)
- Subtasks:
Deliverables in SCOTT:WP24
Title | Due month | Lead partner | Editor | Dissemination level | |
---|---|---|---|---|---|
D24.1 | Distributed cloud computing building blocks - Iteration 1 | M12 | Telenor | Do van Thanh | Confidential |
D24.2 | Distributed cloud computing building blocks - Iteration 2 | M22 | Telenor | Do van Thanh | Confidential |
D24.3 | Distributed cloud computing building blocks - Iteration 3 | M32 | Telenor | Do van Thanh | Confidential |
D24.4 | Summary of selected SCOTT building blocks for distributed cloud computing | M34 | Telenor | Do van Thanh | Public |
Working area
Meetings
Phone conf 19Jun2017
- Technology line owners take responsibility for the progress in their technology line
- Timeline:
- End of June: Draft of requirements
- 1. September: Consolidated requirements in place
List of Building Blocks related to Distributed Cloud Integration
- BB24.A Remote Configuration of Infrastructure, Leader: Linda Firveld, partners: UiO, Smart Innovation Norway, EyeNetworks (BB24.A)
- BB24.B Addressing and Mobility Management of Devices, Leader: Joachim Hillebrand, partners: F-SECURE, PRE, TU Delft, CISC, Nokia, Virtual Vehicle Research Center (BB24.B)
- BB24.C Application Layer Protocols and Cloud Architectures, Leader: Pedro Ruiz, partners: Telenor, PRE, RTE, VTT, VEMCO (BB24.C)
- BB24.D Big Data Analytics, Leader: Antonio Lagarda, partners: Instituto Tecnologico de Informatica (BB24.D)
- BB24.E Cloud computing services for mobility applications, Leader: Ignacio Gurría, partners: AVL, CISC, IMEC, INDRA, JIG, PRE, University College Cork, VTT, VEMCO, SICS, Virtual Vehicle Research Center (BB24.E)
- BB24.F Cross-technology synchronisation, Leader: Peter Priller, partners: UiO (BB24.F)
- BB24.G Mobile Edge Computing, Leader: Longin Kawolski, partners: PRE, Telenor, UiO, VEMCO (BB24.G)
- BB24.H Mobility Prediction, Leader: Ken Brown, partners: University College Cork, Tyco (BB24.H)
- BB24.I Semantic Attribute Based Access Control (S-ABAC), Leader: Christian Johansen, partners: UiO, Wolffia, Smart Innovation Norway (BB24.I)
- BB24.J Wireless Vehicle Interface, Leader: Pawel Czernecki, partners: FEV PL, AVL, FEV, Virtual Vehicle Research Center (BB24.J)
- BB24.K Trustable Passenger Vehicle Data Logging System, Leader: Alexander Stocker, partners: VEMCO, Virtual Vehicle Research Center (BB24.K)
- BB24.L Adaptable network slicing, Leader: Do van Thanh, partners: Telenor, OsloMet, Wolffia, UiO (BB24.L)