Presentation 2014-11-14
Applying Time-Series Models to Load Leveling Process and Latency Prediction Based Appropriate EMS Demand Estimation Method
Kosuke SAKATA, Mitsuho TAHARA,
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Abstract(in English) The service configuration requests to EMSs that are generated in response to contracts of NW service with customers, the frequency is varying by region and season and time. Since these requests include some requests that are required to process immediately, we have to invest in CAPEX and OPEX by assuming the EMS performance demand at maximum load in order to responsive to any requests. However, because EMS performance demand is less except the maximum load in ordinary circumstances, the action is inefficient. We have been studying on the available EMS performance based appropriate load leveling (peak shift) method for the purpose of making available to maximize the plant resources of EMSs. In this paper, we propose a method of calculating the appropriate EMS performance demand based latency prediction of the time lag of up to process starting from the request generation, which is important in the operation of the carrier network.
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Keyword(in English) Command scenario / Service order / EMS / Holt-Winters / Exponential smoothing / Latency prediction
Paper # ICM2014-30
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Committee ICM
Conference Date 2014/11/6(1days)
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Registration To Information and Communication Management(ICM)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Applying Time-Series Models to Load Leveling Process and Latency Prediction Based Appropriate EMS Demand Estimation Method
Sub Title (in English)
Keyword(1) Command scenario
Keyword(2) Service order
Keyword(3) EMS
Keyword(4) Holt-Winters
Keyword(5) Exponential smoothing
Keyword(6) Latency prediction
1st Author's Name Kosuke SAKATA
1st Author's Affiliation Strategic Network Management Department, Network Business Headquarters, NTT East Corporation()
2nd Author's Name Mitsuho TAHARA
2nd Author's Affiliation NTT Network Service Systems Laboratories, NTT Corporation
Date 2014-11-14
Paper # ICM2014-30
Volume (vol) vol.114
Number (no) 299
Page pp.pp.-
#Pages 6
Date of Issue