CrODA-gator: An Open Access CrowdSourcing Platform as a Service

Michalis Massalas, Andreas Konstantinidis, A. Achilleos, Christos Markides, G. A. Papadopoulos
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Abstract

The huge increase of mobile devices and the advancements of their sensing and computing capabilities have made the mobile crowd a real-time opportunistic data generator. Leveraging crowdsourced data creates new opportunities and challenges in many computing domains. As a result extensible, scalable and inter-operable cloud-based platforms have been implemented to simplify management and visual mapping of the large volume of data to meaningful representations, which can be then used for the development of novel applications. Still, to the authors best knowledge, these platforms do not offer direct open access to cloud-based crowdsourcing service(s). In this paper, “CrODA-gator”, an Open Access Crowdsourcing Platform as a Service, is introduced that follows a scalable and extensible architecture, which offers public open access to the platform’s features for direct use by data contributors and application developers. This is a key attribute for the uptake of such a platform. Finally, an experimental evaluation is conducted to support the design choices, providing qualitative evidence on the expected performance of the platform’s mechanisms.
CrODA-gator:一个开放获取的众包平台即服务
移动设备的大量增加及其传感和计算能力的进步使移动人群成为实时机会性数据生成器。利用众包数据在许多计算领域创造了新的机遇和挑战。因此,可扩展、可伸缩和可互操作的基于云的平台已经实现,以简化大量数据的管理和可视化映射到有意义的表示,然后可以用于开发新的应用程序。尽管如此,据作者所知,这些平台并没有提供直接开放访问基于云的众包服务。本文介绍了“CrODA-gator”,一种开放获取众包平台即服务,它遵循可伸缩和可扩展的架构,为数据贡献者和应用程序开发人员提供了对平台功能的公共开放访问。这是采用这种平台的一个关键属性。最后,进行实验评估以支持设计选择,为平台机制的预期性能提供定性证据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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