10 th AUTOSAR Open Conference

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1 10 th AUTOSAR Open Conference Ravi Akella, Software Researcher Akihito Iwai, Director Silicon Valley Innovation Center DENSO International America, Inc. Integrating an actor based connected car platform with Adaptive AUTOSAR AUTOSAR Nov 8, 2017

2 Future mobility service systems Connected to swarms of smart things Integral part of system of systems Fully autonomous Shared ownership, zero-casualty safety, reliability, and? Current Industry Efforts Connected Vehicle Automated Driving IOT/Cyber Physical Systems AI Platforms Enabling technologies Big Data 2 /13

Increasing complexity of V2X systems demand distributed computing with massive data Architectures that allow

3 Challenges for future mobility systems Integration of automotive with heterogeneous subsystems and complex societal dynamics Highly networked, time coordinated interactions with highest degrees of assurance and safety Increasing complexity of V2X systems demand distributed computing with massive data Architectures that allow development, deployment and maintainability of services - Open Interfaces - Adaptive - Real-time - Dynamic Source: US DOT 3 /13

4 Need for a shift in computing paradigm Cloud Computing Edge Computing All analysis Deep analysis High Latency Narrow bandwidth LTE Network Cloud IP Network Cloud High Latency Narrow bandwidth LTE Cellular P2P LORA Fog Fog CAN/Eth In-Vehicle Server CAN/Eth Low Latency Wide bandwidth Real-time analysis Automotive and roadside gateways (Fog) can host and compose services A unifying platform is required to seamlessly interconnect in-vehicle servers with the fog, cloud and IOT. 4 /13

5 Accessor: An actor based paradigm Accessor provides access to device or service by exposing only the interface Data stream or timestamped events Application runs on accessor platform in vehicle gateway Service implementation is abstracted Actor Accessor Actor Sequence of requests for a service (a stream) triggers a sequence of responses Composable with other actors request response Service implementation Runs on a device or cloud (in this case) Application execution controlled by accessor model of computation This is the essence of accessors, a design pattern that embraces concurrency, asynchrony, and atomicity. 5 /13

Dynamic Composability of accessors facilitate service adaptability based on context/environment Allows distributed

6 A novel candidate: Accessor platform Directly connects to heterogeneous things and services within and outside the vehicle Scalable and dynamic services can be developed and deployed using flow based design. Dynamic Composability of accessors facilitate service adaptability based on context/environment Allows distributed computing with fog or cloud for time-critical, data and processor-intensive applications Collaborators Project URL: 6 /13

Model based design environment for service

service components of the accessor library In

few decades of work in Models of Computation

Accessors for different devices/service to be

7 Model based design environment for service modeling Newer services can be built using the service components of the accessor library In built timing guarantees made possible from a few decades of work in Models of Computation (MoCs) Code generation for target hardware Accessors for different devices/service to be developed. Similar to other flow based design approaches 7 /13

A Telematics application using Accessors

8 A Telematics application using Accessors Different services relying on OBD data utilize data pushed to the cloud. Services lie outside the scope of the vehicle. Traditional approach OBD accessor is used to create such services that rely on vehicular data Same application can run in a vehicle gateway or user`s mobile phone interoperability! 8 /13

Networking/ Languages In-vehicle/Edge Computing Architecture s Fog

9 A case for integrating Accessor with Adaptive AUTOSAR * Platforms/Consortiums Hardware Accessor Platform Adaptive Autosar Networking/ Languages In-vehicle/Edge Computing Architecture s Fog Computing Cloud Cloud- Centric Cloud FOG FOG *This is an early stage R&D feasibility study only 9 /13

A case for integrating Accessor with Adaptive AUTOSAR * Model based

application level time guarantees Reuse IT standards as much as

will become easier, apart from extending the scope beyond

10 A case for integrating Accessor with Adaptive AUTOSAR * Model based tools to design and rapidly develop diverse services with application level time guarantees Reuse IT standards as much as possible at the application level Development of ARA applications will become easier, apart from extending the scope beyond infotainment Adaptive AUTOSAR architecture allows us to interconnect both platforms 10 /13

application Accessor Platform Architecture Make sample ARA services available in the

11 Current work Accessor platform (in both node.js and Java) can itself run as an adaptive application or as a stand alone non-autosar application Accessor Platform Architecture Make sample ARA services available in the accessor library Accessor-level services utilize time and execution management APIs to achieve deterministic temporal semantics 11 /13

Some more current work Developing SOME/IP accessor

applications with adaptive autosar applications An

new cameras utilizes SOME/IP accessor Mechanisms

extending SOME/IP accessor interface design stereo

12 Some more current work Developing SOME/IP accessor (subscriber and notifier) to interface accessor applications with adaptive autosar applications An accessor application to switch between and detect new cameras utilizes SOME/IP accessor Mechanisms to utilize ARA APIs should be developed by extending SOME/IP accessor interface design stereo Downloads specific camera service from Road side unit 12 /13

13 Conclusion We share our early stage work on a new connected car platform that could supplement Adaptive AUTOSAR goals. Accessor platform Uniform device/service interfaces with underlying module implementations for heterogeneous environments Extends the scope of services residing within the vehicle to edge and cloud Greatly reduced development time in a model based environment with code generation for target hardware Dynamic and adaptive services that can run untrusted code from remote services (eg. City infrastructure) 13 /13

14 10 th AUTOSAR Open Conference Thank you for your attention! Ravi Akella, Ph.D. Silicon Valley Innovation Center DENSO International America, Inc. 101 Metro Dr., Suite 760,San Jose, CA, 95110, USA. (669) AUTOSAR Nov 8, 2017 page 14

Mobile Edge Computing

Mobile Edge Computing A key technology towards 5G 1 Nurit Sprecher (Chair of ETSI MEC ISG) 5G World 2016, London, UK 5G Use Cases and Requirements 5G Use Cases Families and Related Examples Build a virtual