TY - JOUR
T1 - Programming SDN-native big data applications : research gap analysis
AU - Alwasel, Khaled
AU - Li, Yinhao
AU - Jayaraman, Prem Prakash
AU - Garg, Saurabh
AU - Calheiros, Rodrigo N.
AU - Ranjan, Rajiv
PY - 2017
Y1 - 2017
N2 - Software-Defined Networking has involved as a preferred abstraction for sharing network resources within a cloud datacenter in response to simultaneous data retrieval and computation demands from around the world. However, several research challenges need to be investigated before SDN powered-cloud datacenters are able to efficiently process big data as defined by its '4V' characteristics. Big data enabled-systems have to be able to respond to concurrent requests and allocate computing (e.g., virtual machine instances), storage (e.g., disk space) and networking (e.g., bandwidth) resources efficiently and effectively.
AB - Software-Defined Networking has involved as a preferred abstraction for sharing network resources within a cloud datacenter in response to simultaneous data retrieval and computation demands from around the world. However, several research challenges need to be investigated before SDN powered-cloud datacenters are able to efficiently process big data as defined by its '4V' characteristics. Big data enabled-systems have to be able to respond to concurrent requests and allocate computing (e.g., virtual machine instances), storage (e.g., disk space) and networking (e.g., bandwidth) resources efficiently and effectively.
KW - big data
KW - cloud computing
KW - software-defined networking (computer network technology)
UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:45000
U2 - 10.1109/MCC.2017.4250934
DO - 10.1109/MCC.2017.4250934
M3 - Article
SN - 2325-6095
VL - 4
SP - 62
EP - 71
JO - IEEE Cloud Computing
JF - IEEE Cloud Computing
IS - 5
ER -