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: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=754255
• 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有能力分析从各种来源收集的大量数据以影响长期决策。下一个大数据挑战是要高速提供大规模的数据分析，以便立即对新收集的信息做出反应。要解决此挑战，我建议使用基于事件的系统，旨在处理连续生成的数据的流。基于事件的系统分为两类：事件消息系统，这些系统从多个分布式来源和事件处理系统中收集数据，这些数据能够实时分析信息。两种类型的系统都是独立构建的，然后连接在一起，形成了一个完整的数据收集和分析解决方案。在此提案中，我介绍了Fusée平台：快速，统一，可扩展的事件处理和事件消息传递。 Fusée通过共同考虑事件处理和事件消息来区分自己与其他基于事件的系统，并为各种有针对性的大数据应用程序（例如物联网，社交网络，在线游戏）提供整体优化机会。基于事件的运动在欧洲特别受欢迎，但在加拿大吸引更多的关注。 Fusée将促进加拿大基于事件的系统的使用，并将成为全球第一个用于研究基于事件的大数据应用的全球平台。该项目的首要贡献是将Fusée平台作为开放源代码库的提供，并实施概念证明的实施，以及在许多加拿大工业和学术协作中的核心范围的核心范围的概念，这将确定核心的核心范围。问题，对这些优化进行形式化，提供创新算法并使用我们的平台对其进行评估。在本文中，Fusée统一平台将利用关键数据管理和网络技术，以提高性能，并在可用的技术可用时提高性能。这些整合工作中获得的见解将提高基于事件的系统对各种领域的适用性。