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活动简介

Cloud Computing delivers on-demand resources just like commoditized services, such as electricity, gas, water and telephony. The substantial growth rate of resource demand and provision, as well as of the global cloud traffic make create an imperative need for a detailed techno-economic analysis focusing, among others, on demand forecasting for cloud services, economic assessment of the investments needed to support this emerging computational model, switching costs, market competition, etc. The development of new usage and provision models and the understanding of how they could be used to provide utility for users, intermediary brokers (aggregators) and providers are also of paramount importance. 
CCTE combines process modeling and  engineering design with economic evaluation, providing with both qualitatively and quantitative understanding of the impacts technology and business processes have on the cloud computing model, seeking to harvest its potential.
The workshop aims to serve as a melting pot for researchers and practitioners both in the areas of cloud computing and business management, in order to discuss and combine best practices in these fields into novel ideas and frameworks to accommodate new business models to harvest the potential of cloud computing taking into account both technological limitations and challenges, as well as market demands.
An invited talk in the important area of cloud computing brokering will also be presented from an industry key-player.

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Tpics include, but are nt limited t:
A  Innvative Business Mdels fr the Clud
B  Clud Service Pricing

  •  Price Indices fr Clud Services
  •  IAAS, PAAS, SAAS pricing plicies
  •  Scial surplus maximizatin
  •  Real ptins

C  Investing n Clud Infrastructures

  •  Investment Mdels
  •  Cst/Benefit Analysis
  •  Revenue maximizatin
  •  Service Demand and Return n Investment
  •  Switching Csts

D  Clud adptin and diffusin

  •  Frecasting demand fr clud services
  •  Frecasting users’ demand fr resurces
  •  Strategy fr Enterprise Business Transfrmatin
  •  Case studies

E  Clud Service Cst Engineering

  •  RI analysis
  •  Ttal Cst f wnership (TC) analysis
  •  Ecnmy efficient use f the clud

F  Mdeling and Simulatin f the Clud

  •  Infrastructure and Services
  •  Client Behavir and Demand
  •  Client – Prvider Interactin
  •  Large Scale Systems
  •  The Clud as a System-f-Systems
  •  Game thery appraches

G  Clud Brkering

  •  Business mdels and brkering mechanisms
  •  Value added services
  •  Migratin
  •  Clud brkering platfrms

H  Clud Service Cmpsitin

  •  Cmbining Services frm Multiple Prviders
  •  ptimizing Cst/Service Analysis

I  Case Studies and Experience Reprts

  •  Successful business mdels 
  •  Lessns Learned
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重要日期
  • 会议日期

    04月04日

    2016

    04月08日

    2016

  • 04月08日 2016

    注册截止日期

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