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An IT-infrastructure capability model

Published: 14 May 2013 Publication History

Abstract

The scale and complexity of todays IT-Infrastructures represent a challenge to understand the effects of modifications to these IT-Infrastructures or their components. This motivates the following research question: "How to evaluate high-level, global capability effects induced through low-level, local modifications to IT-Infrastructures?". Answering this question requires understanding of IT-Infrastructures in general and especially of their building blocks and of the complex interdependencies and ratios between capabilities, which have to be considered while planning modifications. After further illustrating the environment by providing an exemplary scenario, the question is described in detail. Preliminary results and the next steps to conduct on the way to answer the above mentioned research question are presented.

References

[1]
Partnership for Advanced Computing in Europe (PRACE). www.prace-project.eu, 2013.
[2]
M. Al-Mashari and M. Zairi. Creating a Fit Between BPR and IT Infrastructure: A Proposed Framework for Effective Implementation. International Journal of Flexible Manufacturing Systems, 12(4):253--274, 2000.
[3]
M. Atkinson, T. Blanke, S. Dunn, D. Fergusson, M. Fraser, P. Halfpenny, M. Jirotka, M. Mascord, others, R. Procter, and A. Voss. e-Research Infrastructure Development and Community Engagement. In Proceedings of the UK e-Science All Hands Meeting, 2007.
[4]
J. Bart, K. Beronov, O. Dzhimova, J. Falkner, M. Hartung, A. Hoheisel, T. Knoch, D. Krefting, T. Lingner, Y. Mohammed, K. Peter, E. Rahm, U. Sax, D. Sommerfeld, T. Steinke, T. Tolxdorff, F. Viezens, M. Vossberg, and A. Weisbecker. MediGRID: Towards a User Friendly Secured Grid Infrastructure. Future Generation Computer Systems, 25(3):326--336, 2009.
[5]
R. Boutaba, L. Cheng, and Q. Zhang. Cloud Computing: State-of-the-Art and Research Challenges. Journal of Internet Services and Applications, 1(1):7--18, 2010.
[6]
M. Broadbent, M. Subramani, and P. Weill. IT Infrastructure for Strategic Agility. Technical report, Massachusetts Institute of Technology (MIT), Sloan School of Management, 2002.
[7]
M. Broadbent and P. Weill. Management by Maxim: How Business and IT Managers Can Create IT Infrastructures. Sloan Management Review, 38(3):77--92, 1997.
[8]
T. A. Byrd, S. H. Chung, F. N. Ford, and B. R. Lewis. An Empirical Study of the Relationships between IT Infrastructure Flexibility, Mass Customization, and Business Performance. ACM Special Interest Group on Management Information Systems (SIGMIS), 36(3):26--44, 2005.
[9]
S. Canon, S. Cholia, K. Jackson, L. Ramakrishnan, and J. Shalf. Defining Future Platform Requirements for e-Science Clouds. In Proceedings of the 1st ACM Symposium on Cloud Computing, 2010.
[10]
A. Chanopas, D. B. Khang, D. Krairit, and K. Luang. Managing Information Technology Infrastructure: a New Flexibility Framework. Management Research News, 29(10):632--651, 2006.
[11]
C.-M. Chen, S.-M. Huang, B. Lin, and C.-S. Ou. An Empirical Study of Relationship between IT Investment and Firm Performance: A Resource-based Perspective. European Journal of Operational Research, 173(3):984--999, 2006.
[12]
B. Farbey, F. Land, and D. Targett. The Great IT Benefit Hunt. European Management Journal, 12(3):270--279, 1994.
[13]
I. Foster and C. Kesselman. The Grid: Blueprint for a Future Computing Infrastructure. Morgan Kaufmann Publishers, Inc., 1999.
[14]
B. Gu, G. Ray, and L. Xue. Environmental Uncertainty and IT Infrastructure Governance: A Curvilinear Relationship. Information Systems Research (INFORMS), 22(2):389--399, 2011.
[15]
T. Hey and A. Trefethen. The UK e-Science Core Programme and the Grid. Future Generation Computer Systems, 18(8):1017--1031, 2002.
[16]
T. Hey and A. Trefethen. e-Science and its Implications. Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences, 361(1809):1809--1825, 2003.
[17]
I. Jacobson. Object Oriented Software Engineering: A Use Case Driven Approach. Addison-Wesley, 1992.
[18]
D. Kranzlmüller, T. Lippert, M. Riedel, A. Streit, and F. Wolf. Classification of Different Approaches for e-Science Applications in Next Generation Computing Infrastructures. In Proceedings of the 4th IEEE International Conference on eScience (eScience '08), 2008.
[19]
D. Kranzlmüller, T. Lippert, M. Riedel, A. Streit, and F. Wolf. Research Advances by Using Interoperable e-Science Infrastructures. Cluster Computing, 12(4):357--372, 2009.
[20]
R. Kumar. A Framework for Assessing the Business Value of Information Technology Infrastructures. Journal of Management Information Systems, 21(2):11--32, 2004.
[21]
S. Laan. IT Infrastructure Architecture -- Infrastructure Building Blocks and Concepts. Lulu Press, Inc., 2011.
[22]
S. Liu. A Practical Framework for Discussing IT Infrastructure. IT Professional, 4(4):14--21, 2002.
[23]
T. Necker. Entwicklung eines objektorientierten Werkzeugs für verschiedene Verfahren der parallelen ereignisgesteuerten Simulation - 69. Bericht über verkehrstheoretische Arbeiten. PhD thesis, Universität Stuttgart, 1998.
[24]
S. Robinson. Simulation: The Practice of Model Development and Use. John Wiley & Sons, Ltd., 2004.
[25]
J. Taylor. Enhanced-Science (e-Science) Definition. www.e-science.clrc.ac.uk.
[26]
P. Weill. The Role and Value of Information Technology Infrastructure: Some Empirical Observations. Technical report, Massachusetts Institute of Technology (MIT), Sloan School of Management, 1992.

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  • (2014)Model-Driven Resilience Assessment of Modifications to HPC InfrastructuresEuro-Par 2013: Parallel Processing Workshops10.1007/978-3-642-54420-0_69(707-716)Online publication date: 2014

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cover image ACM Conferences
CF '13: Proceedings of the ACM International Conference on Computing Frontiers
May 2013
302 pages
ISBN:9781450320535
DOI:10.1145/2482767

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Association for Computing Machinery

New York, NY, United States

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Published: 14 May 2013

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CF'13
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CF'13: Computing Frontiers Conference
May 14 - 16, 2013
Ischia, Italy

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CF '13 Paper Acceptance Rate 26 of 49 submissions, 53%;
Overall Acceptance Rate 273 of 785 submissions, 35%

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View all
  • (2014)Model-Driven Resilience Assessment of Modifications to HPC InfrastructuresEuro-Par 2013: Parallel Processing Workshops10.1007/978-3-642-54420-0_69(707-716)Online publication date: 2014

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