The rapid growth in technology and wide use of internet has increased smart applications such as intelligent transportation control system, and Internet of Things, which heavily rely on an efficient and reliable connectivity network. To overcome high bandwidth work load on the network, as well as minimize latency for real-time applications, the computation can be moved from the central cloud to a distributed edge cloud. The edge computing benefits various smart applications that uses distributed network for data analytics and services. Different from the existing cloud management solutions, edge computing needs to move cloud management services towards distributed heterogeneous edge nodes for multi-tenant user applications. However, existing cloud management services do not offer remote deployment of multi-tenant user applications on the cloud of edge nodes. In this paper, we propose a practical edge cloud software framework for deploying multi-tenant distributed smart applications. Having multiple distributed end nodes, auto discovery of all active end nodes is required for deploying multi-tenant user applications. However, existing cloud solutions require either private network or fixed IP address, which is not achievable for the distributed edge nodes. Most of the edge nodes connected through the public internet without fixed IP, and some of them even connect through IEEE 802.15 based sensor networks. We propose to build a software platform to manage the distributed edge nodes as well as support services to deploy and launch isolated, multi-tenant user applications through a lightweight container. We propose an architectural solution to remotely access edge cloud management services through intermittent internet connections. We open sourced our whole set of software solutions, and analyzed the major performance metrics of the edge cloud platform.
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Service Discovery for The Connected Car with Semantic Accessors
Connected cars have the potential to transform
a vehicle from a transportation platform to a platform for
integrating humans with a city. To that end we introduce
semantic accessors (actor based local proxies for remote services)
as a novel, and powerful discovery mechanism for
connected vehicles that bridges the domains of Internet of
Things (IoT) composition frameworks and the semantic web
of things. The primary components of this approach include
a local semantic repository used for maintaining the vehicle’s
perspective of its real-world context, accessors for querying
and dynamically updating the repository to match evolving
vehicular context information, accessors for services (such as
parking) linked to a service ontology, and a swarmlet controller
responsible for managing the above in accordance with user
input. We demonstrate this semantic accessor architecture with
a prototype Dashboard display that downloads accessors for
new services as they become available and dynamically renders
their self-described user interface components.
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- Award ID(s):
- 1836601
- NSF-PAR ID:
- 10112212
- Date Published:
- Journal Name:
- IEEE Inteligent Vehicles Symposium (IV)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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