Cost Accounting for Shared IT Infrastructures by Reinhard Brandl, Prof. Dr. Martin Bichler

By Reinhard Brandl, Prof. Dr. Martin Bichler

Distributed client/server architectures are the technological spine of today’s info centres. A usage-based allocation of infrastructure charges to company strategies or clients is usually impossible because the worthwhile source intake measurements incur an excessive amount of overhead.

Reinhard Brandl proposes a style to derive estimates for the predicted source intake of customer-oriented companies in the course of general load checks. This allows the decision of usage-based expense allocation keys considerably. He implements the idea that in a software program instrument package and evaluates it effectively in a collection of experiments with multi-tier database purposes. particularly, he makes use of the made up our minds intake estimates as enter parameters for Queuing community types which result in hugely actual functionality predictions. ultimately, he analyzes how the tactic will be built-in into latest IT approaches on the BMW Group.

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The 4th edition of CobiT (IT Governance Institute, 2005) is organized into four domains (Plan and Organize, Acquire and Implement, Deliver and Support and Monitor and Evaluate), 34 high-level objectives and 215 control objectives. IT Cost Accounting and Chargeback falls within the domain of Deliver and Support and the high-level objective Identify and Allocate Costs (DS6). Four control objectives are therefore defined (IT Governance Institute, 2005, p. 124): 1. Definition of Services Identify all IT costs and map them to IT services to support a transparent cost model.

Syskoplan (2002) examines IT Asset Management and the cost allocation methods. All three studies analyze the situation in Germany, respectively in German-speaking countries. For a survey of the international situation we refer to IT Governance Institute (2006) and Drury (1997). The comprehensive study of H¨ ubner et al. (1999) focuses on IT Cost Management in the German banking sector. At that time (1997-1999) the rise of client/server technologies and new business models, like direct banking, changed the systems architectures in data centers and the underlying cost structures.

Outsourcing providers have recognized the potential of customer-oriented accounting metrics. In the context of on-demand and utility computing scenarios, the industry provides solutions which enable a detailed metering of business transactions for accounting purposes. As a representative example, we briefly present in the following excursion the concept of the utility metering service of the IBM Universal Management Infrastructure (see Albaugh and Madduri, 2004). Excursion: The Universal Management Infrastructure (UMI) is a collection of software and architectures supporting the management and operations of hosted infrastructures and applications at IBM’s utility computing data centers (IBM, 2004).

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