TY - GEN
T1 - Open carrier interface
T2 - 2018 Workshop on Networking for Emerging Applications and Technologies, NEAT 2018 Part of SIGCOMM 2018
AU - Körner, Marc
AU - Runge, Torsten M.
AU - Panda, Aurojit
AU - Ratnasamy, Sylvia
AU - Shenker, Scott
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/8/7
Y1 - 2018/8/7
N2 - Edge computing is an emerging technology, which offers manifold performance improvements for applications with low-latency and high-bandwidth requirements. In order to lower the burden for the Network Service Provider to support edge computing, we introduce a generic and platform-agnostic open source edge computing framework implementation called Open Carrier Interface. The implemented prototype provides Application Service Providers with the opportunity to deploy software components directly at the edge of the network and without any operator intervention. We will elaborate and demonstrate that the developed framework and its interfaces (i) are easy to use for all involved parties, (ii) present a unifying abstraction layer for edge-based resource management systems and edge service architectures, (iii) and can deliver a significant performance impact on applications implementing the edge service paradigm.
AB - Edge computing is an emerging technology, which offers manifold performance improvements for applications with low-latency and high-bandwidth requirements. In order to lower the burden for the Network Service Provider to support edge computing, we introduce a generic and platform-agnostic open source edge computing framework implementation called Open Carrier Interface. The implemented prototype provides Application Service Providers with the opportunity to deploy software components directly at the edge of the network and without any operator intervention. We will elaborate and demonstrate that the developed framework and its interfaces (i) are easy to use for all involved parties, (ii) present a unifying abstraction layer for edge-based resource management systems and edge service architectures, (iii) and can deliver a significant performance impact on applications implementing the edge service paradigm.
KW - Computation offloading
KW - Edge computing
UR - https://www.scopus.com/pages/publications/85056383420
U2 - 10.1145/3229574.3229579
DO - 10.1145/3229574.3229579
M3 - Conference contribution
AN - SCOPUS:85056383420
T3 - NEAT 2018 - Proceedings of the 2018 Workshop on Networking for Emerging Applications and Technologies, Part of SIGCOMM 2018
SP - 27
EP - 32
BT - NEAT 2018 - Proceedings of the 2018 Workshop on Networking for Emerging Applications and Technologies, Part of SIGCOMM 2018
PB - Association for Computing Machinery
Y2 - 20 August 2018 through 20 August 2018
ER -