Facing Price Risks in Internet-of-Services Markets

Internet-of-Services markets allow companies to procure computational resources and application services externally and thus to save both internal capital expenditures and operational costs. Despite the advantages of this new paradigm only few work has been done in the field of risk management concerning Internet-of-Services markets. We simulate such a market using a Grid simulator. The results show that market participants are exposed to price risk. Based on our results we identify and assess technical failures which could lead to loss on service consumer’s side. We also show that technical failures influence service prices which lead to volatile prices. Both, service provider and service consumer are exposed to this uncertainty and need a way to face it. Therefore we apply a financial option model to overcome price risk.

[1]  Ian T. Foster,et al.  Describing the Elephant: The Different Faces of IT as Service , 2005, ACM Queue.

[2]  L. Rasmusson.  Network capacity sharing with QoS as a financial derivative pricing problem : algorithms and network , 2002 .

[3]  Torsten Eymann,et al.  Evaluation of Economic Resource Allocation in Application Layer Networks - A Metrics Framework , 2007, Wirtschaftsinformatik.

[4]  J. Hull.  Options, Futures, and Other Derivatives , 1989 .

[5]  Thomas Meinl,et al.  Advance Reservation of Grid Resources via Real Options , 2008, 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services.

[6]  Ian T. Foster,et al.  The Anatomy of the Grid: Enabling Scalable Virtual Organizations , 2001, Int. J. High Perform. Comput. Appl..

[7]  Dirk Neumann,et al.  On the Design of a Two-Tiered Grid Market Structure , 2006 .

[8]  Ian Foster,et al.  The Grid 2 - Blueprint for a New Computing Infrastructure, Second Edition , 1998, The Grid 2, 2nd Edition.

[9]  Benjamin Blau,et al.  Description Languages and Market Mechanisms for Trading Grid Services , 2008, Multikonferenz Wirtschaftsinformatik.

[10]  Torsten Eymann,et al.  Catallaxy-based Grid markets , 2005, Multiagent Grid Syst..

[11]  Dean Kuo,et al.  Advance reservation and co-allocation protocol for grid computing , 2005, First International Conference on e-Science and Grid Computing (e-Science'05).

[12]  Giuseppe A. Paleologo.  Price-at-Risk: A methodology for pricing utility computing services , 2004, IBM Syst. J..

[13]  Yi Pan,et al.  A Hierarchical Modeling and Analysis for Grid Service Reliability , 2007, IEEE Transactions on Computers.

[14]  Michael A. Rappa,et al.  The utility business model and the future of computing services , 2004, IBM Syst. J..

[15]  Hui Li,et al.  Job Failure Analysis and Its Implications in a Large-Scale Production Grid , 2006, 2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06).

[16]  Wilko Reinhardt,et al.  Advance Reservation of Network Resources for Multimedia Applications , 1994, IWACA.

[17]  Rajkumar Buyya,et al.  Grids and Grid technologies for wide‐area distributed computing , 2002, Softw. Pract. Exp..

[18]  Henri Casanova,et al.  Measuring the Performance and Reliability of Production Computational Grids , 2006, 2006 7th IEEE/ACM International Conference on Grid Computing.

[19]  D. J. Wu,et al.  Integrating Long- and Short-Term Contracting via Business-to-Business Exchanges for Capital-Intensive Industries , 2003, Manag. Sci..

[20]  Petter Pettersson.  Financial Derivatives for Computer Network Capacity Markets with Quality-of-Service Guarantees , 2003 .

[21]  E. Fama.  The Behavior of Stock-Market Prices , 1965 .

[22]  Torsten Eymann,et al.  On the Simulation of Grid Market Coordination Approaches , 2008, Journal of Grid Computing.

[23]  Anupriya Ankolekar,et al.  Preference-based selection of highly configurable web services , 2007, WWW '07.

[24]  F. Black,et al.  The Pricing of Options and Corporate Liabilities , 1973, Journal of Political Economy.