Using portfolio theory to diversify the dynamic allocation of web services in the cloud

ABSTRACT

In this paper, we view the Cloud as market place for trading instances of Web Services, which can be bought or leased by web applications. Applications can buy diversity by selecting web services from multiple cloud sellers in a cloud based market. We argue that by diversifying the selection, we can improve the dependability of the application and reduce risks associated with Service Level Agreements (SLA) violations. We propose a novel dynamic adaptive search based software engineering approach, which uses portfolio theory to construct a diversify portfolio of web service instances, traded from multiple Cloud providers. The approach systematically evaluates the Quality of Service (QoS) and risks of the portfolio, compare it to the optimal traded portfolio at a given time, and dynamically decide on a new portfolio and adapt the application accordingly.

References

1. Buyya, R. Yeo, C. S. Venugopal, S. Broberg, J. Brandic, I. 2009. Cloud Computing and Emerging IT Platforms:Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems. ( Jun. 2009), 599--616.
2. Littlewood, B. Popov, P. Strigini, L.2001 Modeling software design diversity: a review. Computing Surveys. (Jun. 2001), 177--208.>
3. Markowitz, H. M. 1959. Portfolio Selection: Efficient Diversification of Investments. John Wiley & Sons, New York.>
4. Nallur, V. Bahsoon, R. 2010. Design of a market-based mechanism for quality attribute tradeoff of services in the cloud. In Proceedings of the ACM Symposium on Applied Computing (SAC '10). (2010), 367--37

Index Terms

• Software and its engineering

  • Software organization and properties

    • Software system structures

      • Distributed systems organizing principles

        • Organizing principles for web applications