TY - GEN
T1 - Software Defined Storage for cooperative Mobile Edge Computing systems
AU - Al-Badarneh, Jafar
AU - Jararweh, Yaser
AU - Al-Ayyoub, Mahmoud
AU - Al-Smadi, Mohammad
AU - Fontes, Ramon
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/5
Y1 - 2017/6/5
N2 - In this paper, we explore the use of both Software Defined Systems (SDS) and Network Function Virtualization (NFV) to deliver a wireless-based Software Defined Mobile Edge Computing (SDMEC) support for storage applications. The proposed approach aims to provide a MEC level service controlled by the software defined paradigm to enhance the provisioning and management of storage services over wireless connected spectrum. The proposed SDMEC has been implemented as an extension of the well-known Wireless Software Defined Networking (WSDN) emulator, Mininet-WiFi, to support wireless topologies that mimic real world environment setups. The framework includes a software defined cooperative MEC strategy for managing storage operation. It also provides the support for auto-scaling network storage resource based on the network demand. The findings of the experiments show the potential of our proposed approach and provide a great starting point for researchers to start considering such approach.
AB - In this paper, we explore the use of both Software Defined Systems (SDS) and Network Function Virtualization (NFV) to deliver a wireless-based Software Defined Mobile Edge Computing (SDMEC) support for storage applications. The proposed approach aims to provide a MEC level service controlled by the software defined paradigm to enhance the provisioning and management of storage services over wireless connected spectrum. The proposed SDMEC has been implemented as an extension of the well-known Wireless Software Defined Networking (WSDN) emulator, Mininet-WiFi, to support wireless topologies that mimic real world environment setups. The framework includes a software defined cooperative MEC strategy for managing storage operation. It also provides the support for auto-scaling network storage resource based on the network demand. The findings of the experiments show the potential of our proposed approach and provide a great starting point for researchers to start considering such approach.
UR - https://www.scopus.com/pages/publications/85021702544
U2 - 10.1109/SDS.2017.7939160
DO - 10.1109/SDS.2017.7939160
M3 - Conference contribution
AN - SCOPUS:85021702544
T3 - 2017 4th International Conference on Software Defined Systems, SDS 2017
SP - 174
EP - 179
BT - 2017 4th International Conference on Software Defined Systems, SDS 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Software Defined Systems, SDS 2017
Y2 - 8 May 2017 through 11 May 2017
ER -