TY - JOUR
T1 - Irregular fractional repetition code optimization for heterogeneous cloud storage
AU - Yu, Quan
AU - Sung, Chi Wan
AU - Chan, Terence H.
PY - 2014/5
Y1 - 2014/5
N2 - This paper presents a flexible irregular model for heterogeneous cloud storage systems and investigates how the cost of repairing failed nodes can be minimized. The fractional repetition code, originally designed for minimizing repair bandwidth for homogeneous storage systems, is generalized to the irregular fractional repetition code, which is adaptable to heterogeneous environments. The code structure and the associated storage allocation can be obtained by solving an integer linear programming problem. For moderate sized networks, a heuristic algorithm is proposed and shown to be near-optimal by computer simulations. © 1983-2012 IEEE.
AB - This paper presents a flexible irregular model for heterogeneous cloud storage systems and investigates how the cost of repairing failed nodes can be minimized. The fractional repetition code, originally designed for minimizing repair bandwidth for homogeneous storage systems, is generalized to the irregular fractional repetition code, which is adaptable to heterogeneous environments. The code structure and the associated storage allocation can be obtained by solving an integer linear programming problem. For moderate sized networks, a heuristic algorithm is proposed and shown to be near-optimal by computer simulations. © 1983-2012 IEEE.
KW - Cloud Storage
KW - Distributed Storage Systems
KW - Irregular Fractional Repetition Code
KW - Regenerating Code
UR - http://www.scopus.com/inward/record.url?scp=84899868865&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-84899868865&origin=recordpage
U2 - 10.1109/JSAC.2014.140523
DO - 10.1109/JSAC.2014.140523
M3 - RGC 21 - Publication in refereed journal
SN - 0733-8716
VL - 32
SP - 1048
EP - 1060
JO - IEEE Journal on Selected Areas in Communications
JF - IEEE Journal on Selected Areas in Communications
IS - 5
M1 - 6804948
ER -