Abstract—A new method for sharing know-how about “root
cause analysis (RCA)” in large-scale data centers is proposed
and evaluated. Recently, data centers are getting bigger because
higher management efficiency is required. Moreover system
managers are finding it ever-more difficult to understand the
complete picture concerning the system. Consequently, RCA is
likely to depend on the skilled or dedicated managers. The form
of management contains a lot of disadvantages for stable
management. The proposed method improves the situation
concerning sharing the know-how possessed by skilled or
dedicated managers. First of all this paper shows the
background of data center management, second of all it shows
that the proposal method with using relevant works, and finally
it discusses about the effects of sharing know-how.
Index Terms—Root cause analysis (RCA), large-scale data
center, know-how sharing, system dependency, system manager,
technical training.
H. Nishino was with Japan Advanced Institute of Science and
Technology, Japan (e-mail: hnishino@abeam.com).
M. Shikida is with Research Center for Advanced Computing
Infrastructure, Japan Advanced Institute of Science and Technology, Japan
(e-mail: shikida@jaist.ac.jp).
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Cite: Hiroyuki Nishino and Mikifumi Shikida, "The Effects of Sharing Know-How Method Based on Experiences in Large-Scale Data Center," International Journal of Future Computer and Communication vol. 5, no. 1, pp. 23-26, 2016.
