The FUSÉE Platform: Fast, Unified, and Scalable Event processing and Event messaging

FUSäE 平台：快速、统一且可扩展​​的事件处理和事件消息传递

• 批准号: RGPIN-2018-06018
• 负责人: Zhang, Kaiwen
• 金额: $ 2.04万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=669679
• 关键词: FUS; Platform; Fast; Unified; Scalable

In the past decade, the big data phenomenon has empowered major players with the ability to analyze large volumes of data collected from a wide variety of sources to influence long-term decision-making. The next big data challenge is to provide large-scale data analysis at high speed, in order to react instantaneously to newly gathered information.******To address this challenge, I propose the use of event-based systems, designed to process streams of continuously generated data. Event-based systems fall into two categories: event messaging systems, which collect data from multiple distributed sources, and event processing systems, which are capable of analyzing information in real-time. Both types of systems are built independently and then connected together to form a complete solution for data collection and analysis.******In this proposal, I present the FUSÉE platform: Fast, Unified, Scalable Event processing and Event messaging. FUSÉE distinguishes itself from other event-based systems by jointly considering both event processing and event messaging, and leveraging holistic optimization opportunities for a variety of targeted big data applications, such as the Internet of Things, social networks, online games.******The event-based movement is particularly popular in Europe but deserves more attention in Canada. FUSÉE will promote the use of event-based systems in Canada and will be the first comprehensive platform worldwide for studying event-based big data applications.******The first contribution of the project will be the delivery of the FUSÉE platform as an open-source codebase and the implementation of proofs of concept in a number of Canadian industrial and academic collaborations.******Second, the core research of FUSÉE will identify optimization opportunities when event processing and event messaging are treated as a unified problem, formalize these optimizations, deliver innovative algorithms, and evaluate them using our platform.******Finally, the FUSÉE unified platform will leverage key data management and networking technologies for improved performance when such technologies are available. The insights gained in these integration efforts will raise the applicability of event-based systems for a wide variety of domains.

在过去的十年中，大数据现象使主要参与者能够分析从各种来源收集的大量数据，以影响长期决策。大数据的下一个挑战是提供高速的大规模数据分析，以便对新收集的信息做出即时反应。为了应对这一挑战，我建议使用基于事件的系统，旨在处理连续生成的数据流。基于事件的系统分为两类：事件消息传递系统，它从多个分布式源收集数据，以及事件处理系统，它能够实时分析信息。这两种类型的系统都是独立构建的，然后连接在一起，形成一个完整的数据收集和分析解决方案。在这个提案中，我提出了FUSÉE平台：快速，统一，可扩展的事件处理和事件消息传递。FUSÉE与其他基于事件的系统的区别在于，它同时考虑了事件处理和事件消息传递，并为各种有针对性的大数据应用提供了整体优化机会，例如物联网，社交网络，在线游戏。基于事件的运动在欧洲特别受欢迎，但在加拿大值得更多关注。FUSÉE将在加拿大推广使用基于事件的系统，并将成为全球第一个研究基于事件的大数据应用的综合平台。该项目的第一个贡献将是将FUSÉE平台作为开源代码库交付，并在加拿大的一些工业和学术合作中实施概念验证。其次，FUSÉE的核心研究将确定事件处理和事件消息传递被视为统一问题时的优化机会，将这些优化形式化，提供创新算法，并使用我们的平台进行评估。最后，FUSÉE统一平台将利用关键的数据管理和网络技术，在这些技术可用时提高性能。在这些集成工作中获得的见解将提高基于事件的系统在各种领域的适用性。