Agora：超越市场和云服务的统一资产生态系统
Agora: A Unified Asset Ecosystem Going Beyond Marketplaces and Cloud Services
摘要：
数据、算法和计算/存储基础设施是推动数据科学和人工智能应用的关键资产。由于提供所有这些资产需要巨大的投资，数据科学和人工智能技术目前由少数能够负担得起这些投资的提供商主导。这会导致锁定效应，并阻碍需要在用户之间灵活交换资产的功能。在这篇愿景论文中，我们介绍了Agora，一个统一的资产生态系统。Agora系统提供了技术基础设施，允许提供和使用数据和算法，以及物理基础设施组件。Agora被设计为一个开放的资产市场生态系统，不仅为广大受众提供数据，还提供整个数据价值链（包括计算资源和人类专业知识）。Agora（i）利用细粒度的资产交换，（ii）允许将资产组合到新的应用程序中，以及（iii）在可用资源上灵活地执行这些应用程序。因此，Agora克服了锁定效应，消除了新资产提供商的进入壁垒。与现有的数据管理系统相比，Agora在高度分散和动态的环境中运行：数据、算法甚至计算资源都是由不同的利益相关者动态创建、修改和删除的。Agora为整个数据管理社区提出了新的研究方向：它需要将我们在可扩展数据处理和管理方面的传统专业知识与基础设施配置以及数据、算法和基础设施的经济和应用方面相结合。
英文摘要：
Data, algorithms, and compute/storage infrastructure are key assets that drive data science and artificial intelligence applications. As providing all these assets requires a huge investment, data science and artificial intelligence technologies are currently dominated by a small number of providers who can afford these investments. This leads to lock-in effects and hinders features that require a flexible exchange of assets among users. In this vision paper, we present Agora, a unified asset ecosystem. The Agora system provides the technical infrastructure that allows for offering and using data and algorithms, as well as physical infrastructure components. Agora is designed as an open ecosystem of asset marketplaces and provides to a broad audience not only data but the entire data value chain (including computational resources and human expertise). Agora (i) leverages a fine-grained exchange of assets, (ii) allows for combining assets to novel applications, and (iii) flexibly executes such applications on available resources. As a result, Agora overcomes lock-in effects and removes entry barriers for new asset providers. In contrast to existing data management systems, Agora operates in a heavily decentralized and dynamic environment: Data, algorithms, and even compute resources are dynamically created, modified, and removed by different stakeholders. Agora presents novel research directions for the data management community as a whole: It requires to combine our traditional expertise in scalable data processing and management with infrastructure provisioning as well as economic and application aspects of data, algorithms, and infrastructure.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
