Abstract
The network construction, in usage of virtual organization to gain collaborations of grid computing and organizations, is making gradual expansion. In order to achieve capacity planning in such environments, this study presents the measure for capacity planning of physical link in accordance with utility rates of the logical link. The presented algorithm draws the joint probability by processing the traffic per virtual organization measured within the physical link. Moreover, some circumstances were supposed to generate large quantities of random numbers that follow the normal distribution with different averages and standard deviations to confirm performance of the algorithm in verifying that the algorithm was not limited to the number of virtual organizations or bandwidth of the physical link.
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- n:
-
the number of virtual organizations
- k:
-
the number of traffic data
- x:
-
the number of data per each virtual organization of Zone B
- y:
-
the number of combination which covers both zones
References
Sezoo P, Hoyong R, Jaeho L (1995) The performance analysis of a dynamic bandwidth allocation in ATM networks with multimedia traffics using queueing theory. Korea Inf Commun Soc 14(1):298–302
Wombell S (1999) Network capacity planning. IEE Review 45(2):79–80
Minki N, Seongjin A (2008) The point-to-multi-point grid optical network to transport data intensive efficiency and large-scale environment. Korean Inst Inf Technol 6(6):241–248
Heumjung K, Jungmo Y, Gyungsik K, Jinsu P (1993) Erlang capacity of multi-user communication systems by queueing theory. Korea Inf Commun Soc 14(6–2):31–36
Haeseong C (2006) DBSW algorithm performance criteria using queueing theory. Korea Contents Assoc 6(11):276–284
Youngmin L, Jinwook C (2011) A study on capacity planning methodology for resource assignment in large-scale network. Unpublished thesis for Master’s Degree, Sungkyunkwan University, Seoul
Utpal D, Lundy L (2001) Apparatus and method for network capacity evaluation and planning. U. S. Patent 6,209,033 B1
Advanced Training Courses (2005) Modeling and simulation with modeler. Millenium Alliance
Hyeongyong P, Sungjo K (2008) A study on proper internet bandwidth estimation for elementary and secondary schools. Korea Assoc Comput Edu 11(5):47–55
Donghyun L, Hyeakro L, Byungyeon P, Haenggon L, Seongjin A, Jinwook C (2006) Implementation of network weather report system through network state observation. Int J Comput Sci Network Secur 6(7):97–106
Jaegyu L, Youngmin L, Yonghyun K, Janghun B, Seongjin A (2010) A study on capacity planning methodology for KREONET resource assignment. Report No. K-10-RN-42-03 N-10, Korea Institute of Science and Technology Information
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Lee, K., Ahn, S. (2012). A Study of a Network Capacity Planning by Analyzing Joint Probability of a Virtual Organization. In: Kim, K., Ahn, S. (eds) Proceedings of the International Conference on IT Convergence and Security 2011. Lecture Notes in Electrical Engineering, vol 120. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2911-7_32
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DOI: https://doi.org/10.1007/978-94-007-2911-7_32
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