A vision for personalized service level agreements in the cloud

  • Authors:

  • Jennifer Ortiz;Victor Teixeira de Almeida;Magdalena Balazinska

  • Affiliations:

  • University of Washington, Seattle, Washington;University of Washington, Seattle, Washington and PETROBRAS S.A., Rio de Janeiro, RJ, Brazil;University of Washington, Seattle, Washington

  • Venue:
  • Proceedings of the Second Workshop on Data Analytics in the Cloud
  • Year:
  • 2013

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Abstract

Public Clouds today provide a variety of services for data analysis such as Amazon Elastic MapReduce and Google BigQuery. Each service comes with a pricing model and service level agreement (SLA). Today's pricing models and SLAs are described at the level of compute resources (instance-hours or gigabytes processed). They are also different from one service to the next. Both conditions make it difficult for users to select a service, pick a configuration, and predict the actual analysis cost. To address this challenge, we propose a new abstraction, called a Personalized Service Level Agreement, where users are presented with what they can do with their data in terms of query capabilities, guaranteed query performance and fixed hourly prices.