Abstract—A Cloud service provides the use of computing
resources (hardware and software) that are delivered as a
service over a network. The name comes from the use of a
cloud-shaped symbol as an abstraction for the complex
infrastructure it contains in system diagrams. Cloud computing
entrusts remote services with a user's data, software and
computation. This paper is dealing with the stochastic Cloud
server management method which is focused on reliability. The
(remote) backup cloud servers are hooked up by the long-haul
network and replace broken main cloud severs immediately. If
the Cloud servers are represented as "machines" this system
can be solved by using the stochastic maintenance model with
main unreliable and random auxiliary spare (remote backup)
machines, subject to random breakdowns, repairs and two
replacement policies: one for busy and another - for idle or
vacation periods. When the repair facility is not available
because of the given conditions, auxiliary machines are being
used for backups. Unlike existing models, the availability of
auxiliary machines is changed for activations of the system.
Analytically tractable results are obtained by using a duality
principle, semi-regenerative analysis, and multi-variate marked
renewal processes. The results are demonstrated in the
framework of optimized Cloud server allocation problems with
unreliable backup servers.
Index Terms—Stochastic maintenance, cloud service
management, availability, stochastic optimization, closed
queues, duality principle.
Song-Kyoo Kim is with the Asian Institute of Management, 123 Paseo de
Roxas, Makati City 1260, Philippines (e-mail: SKim@aim.edu).
[PDF]
Cite:Kim Song-Kyoo, "Cloud Server Management Method with Random Remote Backups," Journal of Advances in Computer Networks vol. 1, no. 4, pp. 291-294, 2013.
