ACACIA: context-aware edge computing for continuous interactive applications over mobile networks
J Cho, K Sundaresan, R Mahindra… - Proceedings of the 12th …, 2016 - dl.acm.org
Proceedings of the 12th International on Conference on emerging Networking …, 2016•dl.acm.org
There is widespread agreement that future continuous interactive (CI) applications will
require edge computing capabilities from mobile networks. There is also widespread
expectation that the emerging 5G network architecture, with its constituent technology
components, will be the context in which this will be realized. Indeed many of the
components that will be part of such an environment have been studied in standalone
manner. However, the question of whether an end-to-end combination of these components …
require edge computing capabilities from mobile networks. There is also widespread
expectation that the emerging 5G network architecture, with its constituent technology
components, will be the context in which this will be realized. Indeed many of the
components that will be part of such an environment have been studied in standalone
manner. However, the question of whether an end-to-end combination of these components …
There is widespread agreement that future continuous interactive (CI) applications will require edge computing capabilities from mobile networks. There is also widespread expectation that the emerging 5G network architecture, with its constituent technology components, will be the context in which this will be realized. Indeed many of the components that will be part of such an environment have been studied in standalone manner. However, the question of whether an end-to-end combination of these components would satisfy application requirements, or indeed, how these components would be combined into service offerings by mobile network providers, have not been meaningfully addressed. Towards addressing these challenges, we propose ACACIA - a service abstraction framework that enables CI applications on edge clouds in mobile networks. Evaluation of our prototype implementation shows that our holistic approach provides a 70% end-to-end application level latency reduction when compared with existing cloud and mobile solutions.
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