COCO: a web-based data tracking architecture for challenged network environments

  • Authors:
  • Saureen Shah;Apurva Joshi

  • Affiliations:
  • Digital Green, New Delhi, India;Digital Green, New Delhi, India

  • Venue:
  • Proceedings of the First ACM Symposium on Computing for Development
  • Year:
  • 2010

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Abstract

Data tracking and analytics methods for organizations operating in rural locations are cumbersome -- particularly for the many that continue to use traditional, non-electronic methods. To evaluate effectiveness and productivity, these organizations are being asked to adopt data and analytics methodologies that are technology oriented in nature. Today, network connectivity is increasing even in the most remote locations and electronic data input is gradually becoming less of an impediment to data collection. To be sure, uninterrupted bandwidth availability still eludes these locations, making it difficult for traditional web applications to function. In cognizance of intermittent to zero bandwidth availability in rural locations, we propose COCO (connect-online, connect-offline), a data input framework designed to seamlessly enable online as well as offline connection capabilities for applications. By building on the COCO framework, applications can continue operating by going offline. Preliminary results show that applications built on the COCO framework achieve low latency and high execution speeds by virtue of the framework's browser-client architecture. We also demonstrate the effectiveness of a COCO framework-enabled application over a traditional web application when run in a lab, and in rural locations.