TY - GEN
T1 - Cooperative load balancing scheme for edge computing resources
AU - Beraldi, Roberto
AU - Mtibaa, Abderrahmen
AU - Alnuweiri, Hussein
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/6/12
Y1 - 2017/6/12
N2 - Edge Computing, as a solution to leveraging computation capabilities at the edge of the network, is emerging. One key challenge for edge computing is offering its computing service with a low service blocking and low latency that otherwise translate to an inefficient deployment of a Edge computing system. Unlike cloud computing, the computing resources in edge computing are limited. One way to deal with this limitation is by enabling cooperation between data centers.
AB - Edge Computing, as a solution to leveraging computation capabilities at the edge of the network, is emerging. One key challenge for edge computing is offering its computing service with a low service blocking and low latency that otherwise translate to an inefficient deployment of a Edge computing system. Unlike cloud computing, the computing resources in edge computing are limited. One way to deal with this limitation is by enabling cooperation between data centers.
UR - http://www.scopus.com/inward/record.url?scp=85028550233&partnerID=8YFLogxK
U2 - 10.1109/FMEC.2017.7946414
DO - 10.1109/FMEC.2017.7946414
M3 - Conference contribution
AN - SCOPUS:85028550233
T3 - 2017 2nd International Conference on Fog and Mobile Edge Computing, FMEC 2017
SP - 94
EP - 100
BT - 2017 2nd International Conference on Fog and Mobile Edge Computing, FMEC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Fog and Mobile Edge Computing, FMEC 2017
Y2 - 8 May 2017 through 11 May 2017
ER -