Semantic virtualization for edge-IoT cloud: Issues and challenges
Proceedings of the 2nd Workshop on Cloud-Assisted Networking, 2017•dl.acm.org
It is well expected that a collection of smart objects such as IoT devices dynamically form an
edge cloud allowing acquiring, storing, communicating, and processing of information done
at the edge of the network. Edge cloud workers (ie IoT devices) usually have service specific
characteristics while legacy cloud workers are more computing oriented. However, existing
cloudlet architectures continue to take their allocation policy centered around computation
resource virtualization without considering such characteristics of edge IoT clouds. In order …
edge cloud allowing acquiring, storing, communicating, and processing of information done
at the edge of the network. Edge cloud workers (ie IoT devices) usually have service specific
characteristics while legacy cloud workers are more computing oriented. However, existing
cloudlet architectures continue to take their allocation policy centered around computation
resource virtualization without considering such characteristics of edge IoT clouds. In order …
It is well expected that a collection of smart objects such as IoT devices dynamically form an edge cloud allowing acquiring, storing, communicating, and processing of information done at the edge of the network. Edge cloud workers (i.e. IoT devices) usually have service specific characteristics while legacy cloud workers are more computing oriented. However, existing cloudlet architectures continue to take their allocation policy centered around computation resource virtualization without considering such characteristics of edge IoT clouds. In order to provide service specific QoS driven virtualization of an edge IoT cloud, which we call semantic virtualization, a new approach is required. In this paper, we investigate research issues and directions for realizing semantic virtualization for an edge IoT cloud.

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