Title :
Repair efficient storage codes via combinatorial configurations
Author :
Bing Zhu ; Hui Li ; Shum, Kenneth W.
Author_Institution :
Shenzhen Eng. Lab. of Converged Networks Technol., Peking Univ., Shenzhen, China
Abstract :
Fractional repetition (FR) codes are a special class of regenerating codes characterized by the exact and uncoded repair property. In this work, we propose an explicit method to construct FR codes from combinatorial configurations. The proposed construction gives FR codes with parameters that are not covered by prior approaches.
Keywords :
codes; combinatorial mathematics; distributed databases; FR; combinatorial configurations; efficient storage codes; fractional repetition codes; regenerating codes; uncoded repair property; Big data; Distributed databases; Educational institutions; Encoding; Joining processes; Maintenance engineering; Network coding; Distributed storage; combinatorial designs; regenerating codes; uncoded repair;
Conference_Titel :
Big Data (Big Data), 2014 IEEE International Conference on
Conference_Location :
Washington, DC
DOI :
10.1109/BigData.2014.7004501
