Journal of Grid Computing

, Volume 11, Issue 1, pp 63–81

Cloud Platform Datastore Support

Authors

  • Navraj Chohan
    • Computer Science DepartmentUniversity of California, Santa Barbara
  • Chris Bunch
    • Computer Science DepartmentUniversity of California, Santa Barbara
    • Computer Science DepartmentUniversity of California, Santa Barbara
  • Navyasri Canumalla
    • Computer Science DepartmentUniversity of California, Santa Barbara
Article

DOI: 10.1007/s10723-012-9238-z

Cite this article as:
Chohan, N., Bunch, C., Krintz, C. et al. J Grid Computing (2013) 11: 63. doi:10.1007/s10723-012-9238-z

Abstract

There are many datastore systems to choose from that differ in many ways including public versus private cloud support, data management interfaces, programming languages, supported feature sets, fault tolerance, consistency guarantees, configuration, and their deployment processes. In this paper, we focus on technologies for structured data access (database/datastore systems) in cloud systems. Our goal is to simplify the use of datastore systems through automation and to facilitate their empirical evaluation using real world applications. To enable this, we provide a cloud platform abstraction layer that decouples a data access API from its implementation. Applications that use this API can use any datastore that “plugs into” our abstraction layer, thus enabling application portability. We use this layer to extend the functionality of multiple datastores without modifying the datastores directly. Specifically, we provide support for ACID transaction semantics for popular key-value stores (none of which provide this feature). We integrate this layer into the AppScale cloud platform—an open-source cloud platform that executes cloud applications written in Python, Java, and Go, over virtualized cluster resources and infrastructures-as-a-service (Eucalyptus, OpenStack, and Amazon EC2). We use this system to investigate the impact of extending disparate datastores via the application portability layer with distributed transaction support.

Keywords

Cloud computingCloud platformDatastoreKey-value structured storageOnline transaction processing

Copyright information

© Springer Science+Business Media Dordrecht 2012