MARSA: A Marketplace for Realtime Human Sensing Data

MARSA: A Marketplace for Realtime Human Sensing Data
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DOI:
10.1145/2883611
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发表时间:
2016-08-01
影响因子:
5.3
通讯作者:
Dustdar, Schahram
Dustdar, Schahram
中科院分区:
计算机科学4区
文献类型:
--
作者:
Tien-Dung Cao;Tran-Vu Pham;Dustdar, Schahram

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本文介绍了一个基于云的动态近实时人类感知数据市场(MARSA),供不同的利益相关者买卖近实时数据。MARSA是为以下环境设计的:信息技术(IT)基础设施不发达,但收集和销售接近实时的数据的需求很大。为此,我们介绍了基于不同的成本模型、数据质量和数据权限来选择数据类型和管理数据合同的技术。我们通过利用不同的数据传输解决方案来设计我们的MARSA平台,以实现卖方(数据提供商)和买方(数据消费者)之间的开放和可扩展的通信机制。为了评估MARSA,我们使用越南胡志明市居民提供的近实时交通数据和多云环境下的模拟场景进行了几个实验。
This article introduces a dynamic cloud-based marketplace of near-realtime human sensing data (MARSA) for different stakeholders to sell and buy near-realtime data. MARSA is designed for environments where information technology (IT) infrastructures are not well developed but the need to gather and sell near-realtime data is great. To this end, we present techniques for selecting data types and managing data contracts based on different cost models, quality of data, and data rights. We design our MARSA platform by leveraging different data transferring solutions to enable an open and scalable communication mechanism between sellers (data providers) and buyers (data consumers). To evaluate MARSA, we carry out several experiments with the near-realtime transportation data provided by people in Ho Chi Minh City, Vietnam, and simulated scenarios in multicloud environments.