Framework for Enabling Highly Available Distributed Applications for Utility Computing

  • J. Lakshmi
  • S. K. Nandy
  • Ranjani Narayan
  • Keshavan Varadarajan
Conference paper

DOI: 10.1007/11946441_52

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4330)
Cite this paper as:
Lakshmi J., Nandy S.K., Narayan R., Varadarajan K. (2006) Framework for Enabling Highly Available Distributed Applications for Utility Computing. In: Guo M., Yang L.T., Di Martino B., Zima H.P., Dongarra J., Tang F. (eds) Parallel and Distributed Processing and Applications. ISPA 2006. Lecture Notes in Computer Science, vol 4330. Springer, Berlin, Heidelberg

Abstract

The move towards IT outsourcing is the first step towards an environment where compute infrastructure is treated as a service. In utility computing this IT service has to honor Service Level Agreements (SLA) in order to meet the desired Quality of Service (QoS) guarantees. Such an environment requires reliable services in order to maximize the utilization of the resources and to decrease the Total Cost of Ownership (TCO). Such reliability cannot come at the cost of resource duplication, since it increases the TCO of the data center and hence the cost per compute unit. We, in this paper, look into aspects of projecting impact of hardware failures on the SLAs and techniques required to take proactive recovery steps in case of a predicted failure. By maintaining health vectors of all hardware and system resources, we predict the failure probability of resources based on observed hardware errors/failure events, at runtime. This inturn influences an availability aware middleware to take proactive action (even before the application is affected in case the system and the application have low recoverability).

The proposed framework has been prototyped on a system running HP-UX. Our offline analysis of the prediction system on hardware error logs indicate no more than 10% false positives. This work to the best of our knowledge is the first of its kind to perform an end-to-end analysis of the impact of a hardware fault on application SLAs, in a live system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • J. Lakshmi
    • 1
  • S. K. Nandy
    • 1
  • Ranjani Narayan
    • 2
  • Keshavan Varadarajan
    • 1
  1. 1.Indian Institute of Science BangaloreIndia
  2. 2.Morphing MachinesBangaloreIndia

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