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ABLY Realtime Data-Stream-Exchange (DSX): incorporating cutting-edge, elastic, globally distributed, replicated Message-Storage-Processing-Layer

ABLY Realtime Data-Stream-Exchange (DSX): incorporating cutting-edge, elastic, globally distributed, replicated Message-Storage-Processing-Layer
ABLY 实时数据流交换 (DSX):融合了尖端、弹性、全球分布式、复制的消息存储处理层
批准号:
105226
负责人:
金额:
$43.57万
依托单位:
依托单位国家:
英国
项目类别:
Feasibility Studies
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

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中文摘要
翻译
able的目标是成为“动态数据”革命的全球领导者,提供一个云平台,使全球企业之间的高价值实时数据交换成为可能。able是一个成熟的全球参与者,商业化了许多行业第一。因此,他们对组织在实时领域面临的问题有深刻的理解。随着实时数据的创建和消费继续呈指数级增长(RT Insights, 2018),共享这些数据所需的工程和投资变得更加复杂,阻碍了数据经济的广泛参与。在全球范围内,这对基础设施和传统集成技术提出了前所未有的要求。able正在为他们新推出的数据流交换(DSX)平台的一个前沿元素寻求Innovate UK的资助,该平台是一个弹性的、全球分布式的消息存储处理层。这是DSX平台内的一个技术推动者,它将实现实时数据的全球解放,因此生产者和开发人员可以将其分发给任意数量的消费者,而无需投资基础设施,无论规模如何。这将减少不公平的优势,目前有利于技术巨头,他们可以在内部设计流数据分发解决方案,使更多的开发者能够货币化和共享数据集,并在实时数据交换生态系统中创造新的价值链。”
英文摘要
"Ably's ambition is to be a global leader in the ''data-in-motion'' revolution, providing a cloud platform to enable high-value realtime data exchange between global businesses. Ably are an established global player commercialising a number of industry firsts. As such they have a deep understanding of the problems organisations face in the realtime space.As the creation and consumption of realtime data continues to grow exponentially (RT Insights, 2018), the engineering and investment required to share this data becomes more complex, preventing widespread participation in the data economy. At global scale, this is placing unprecedented demands on infrastructure and conventional integration technologies.Ably are seeking Innovate UK funding for a cutting-edge element of their newly launched Data-Stream-Exchange (DSX) platform, being-an elastic, globally distributed Message-Storage-Processing-Layer. This is a technical enabler within the DSX platform, which will enable global liberation of realtime data so producers and developers can distribute it to _any_ number of consumers, without needing to invest in infrastructure regardless of scale. This will reduce unfair advantage, currently in favour of tech giants who can engineer streaming data-distribution solutions in-house, enabling more developers to monetise and share datasets as well as create new value-chains within the realtime data exchange ecosystem."
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