CAREER: Timeliness as a Controllable Dimension via Knowledge-driven System Management

职业：通过知识驱动的系统管理将及时性作为可控维度

• 批准号: 2238476
• 负责人: Renato Mancuso
• 金额: $ 60.35万
• 依托单位: Trustees of Boston University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-01 至 2028-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2238476&HistoricalAwards=false
• 关键词: CAREER; Timeliness; Controllable; Dimension; via

The modern lifestyle is permeated and largely defined by a symbiotic interaction with computing systems. These are expected to take meaningful actions (logical correctness) at the right time (timeliness). Timeliness is crucial in safety-critical autonomous systems such as driverless vehicles and aircraft, manufacturing and power plants, and devices for intensive care and life support. Similarly, quality-of-service in enterprise and cloud systems primarily encompasses the temporal characteristics of application workloads. Unfortunately, the intense push for intelligent systems over the last decade has caused an explosion in the complexity of software and hardware layers. In turn, the sharp rise in system complexity has significantly weakened our ability to reason about, predict, and control the timeliness of application workloads. This Faculty Early Career Development (CAREER) project aims to reconcile the critical need for timeliness with the growing complexity of modern intelligent systems with an integrative research and education plan. The research focuses on turning timeliness into a dimension that can be directly and explicitly managed in high-performance platforms. It does so by recognizing the importance of gathering and acting upon precise knowledge about the low-level interplay between software and hardware components. Systemic paradigms to collect, retain, and leverage such knowledge are studied, with a specific focus on practical technology that can be immediately employed on commercial platforms. In a complementary way, the PI has devised educational activities to introduce timeliness as a fundamental design-time dimension in computer science curricula, with a number of outreach activities designed for pre-college students to explore challenges in time-sensitive systems.Through a coordinated plan to rethink the role of hardware and platform-software components, the PI will lay down the blueprints for knowledge-driven system management with explicit control over timeliness as a goal. Emerging commercial-off-the-shelf platforms that include traditional processing elements and reprogrammable logic provide a unique opportunity to practically instantiate said blueprints. Three orthogonal research thrusts comprise the pillars of this research effort. The first thrust focuses on designing and developing a set of enabling mechanisms to observe and control performance-critical hardware resources with minimal overhead. In particular, observation mechanisms are designed to collect insights into micro-scale application-platform interactions. Conversely, control mechanisms are devised to enforce fine-grained resource provisioning decisions at a micro-architectural level. The second thrust tackles the challenge of extracting knowledge from fine-grained data. This entails contextualizing the acquired data streams to construct a notion of timely application progress. Timely progress information is leveraged to detect past under-/over-provisioning and perform allocation/reclaiming accordingly. Simultaneously, strategies to accurately predict the impact of resource provisioning policies over future application progress are explored. Finally, the third thrust concerns the criticality-aware composition of multiple application workloads with specified timeliness requirements, profiled demand for hardware resources, and known temporal behavior in response to changes in resource provisioning. The significance of this project is threefold. First, direct control over the timeliness of complex applications via knowledge-driven system management provides the necessary principled foundations for data-driven real-time decision-making. Second, the methodologies and techniques developed as part of this effort will serve as a reference for future hardware platforms to achieve control over timeliness by design. Third, cross-cutting activities targeting pre-college, undergraduate, and graduate students at Boston University aim to bring temporal behavior analysis and timeliness into the foreground of computer science education.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

现代的生活方式渗透到了与计算系统的共生相互作用的主要定义。这些期望在正确的时间（及时性）采取有意义的行动（逻辑正确性）。及时性对于安全至关重要的自治系统至关重要，例如无人驾驶汽车和飞机，制造和发电厂以及重症监护和生活支持的设备。同样，企业和云系统中的服务质量主要涵盖了应用程序工作负载的时间特征。不幸的是，在过去十年中，对智能系统的强烈推动导致软件和硬件层的复杂性爆炸。反过来，系统复杂性的急剧上升显着削弱了我们推理，预测和控制应用程序工作量的及时性的能力。这个教师早期职业发展（职业）项目旨在调和对及时性的关键需求与现代智能系统日益增长的综合研究和教育计划的复杂性。该研究重点是将及时性转变为可以在高性能平台中直接和明确管理的维度。通过认识到有关软件和硬件组件之间低级相互作用的精确知识的收集和行动的重要性来实现。研究了这些知识的系统性范式，以收集，保留和利用这些知识，特别关注可以立即在商业平台上使用的实践技术。 PI以互补的方式设计了教育活动，以及时性作为计算机科学课程中的基本设计时间维度，其中许多宣传活动为预科学生设计，以探索时间敏感的系统中的挑战。通过协调一致的计划，可以将bluyrint the Blay Drliqur-Drlic Drliqurint Inluction the Inlocation the Inlocation to Bloodrint to blipllic to blipllic with the Blosive to bliplliquestriond the Bloodliqul to bliplic drol in drol drolllic will by drol in drol inlue drol。及时性作为目标。包括传统处理元素和可重编程逻辑在内的新兴商业企业平台为实际实例化所述蓝图提供了独特的机会。三项正交研究推动了这项研究工作的支柱。第一个推力重点是设计和开发一组促进机制，以最少的开销观察和控制关键性硬件资源。特别是，观察机制旨在收集对微观应用平台相互作用的见解。相反，设计机制是为了在微体系层面上执行精细的资源提供决策。第二个推力解决了从细粒数据中提取知识的挑战。这需要将获得的数据流进行上下文，以构建及时的应用程序进度的概念。利用及时的进度信息来检测过去的低/过度提供的信息，并相应地进行分配/回收。同时，探讨了准确预测资源供应政策对未来应用程序进度的影响的策略。最后，第三个推力涉及具有指定及时性要求的多个应用程序工作负载的关键意识组成，对硬件资源的需求以及已知的时间行为，以应对资源提供的变化。该项目的意义是三倍。首先，通过知识驱动的系统管理对复杂应用程序的及时性的直接控制为数据驱动的实时决策提供了必要的原则基础。其次，作为这项工作的一部分开发的方法和技术将作为未来硬件平台的参考，以通过设计来控制及时性。第三，针对波士顿大学预科，本科生和研究生的横切活动旨在将时间行为分析和及时性带入计算机科学教育的前景。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛影响的评估来通过评估来支持的。

项目成果

Memory Latency Distribution-Driven Regulation for Temporal Isolation in MPSoCs

MPSoC 中时间隔离的内存延迟分布驱动调节

• DOI: 10.4230/lipics.ecrts.2023.4
• 发表时间: 2023
• 期刊: 35th Euromicro Conference on Real-Time Systems (ECRTS 2023
• 作者: Saeed, Ahsan;Hoornaert, Denis;Dasari, Dakshina;Ziegenbein, Dirk;Mueller-Gritschneder, Daniel;Schlichtmann, Ulf;Gerstlauer, Andreas;Mancuso, Renato
• 通讯作者: Mancuso, Renato

Low-Overhead Online Assessment of Timely Progress as a System Commodity

• DOI: 10.4230/lipics.ecrts.2023.13
• 发表时间: 2023
• 作者: Weifan Chen;Ivan Izhbirdeev;Denis Hoornaert;Shahin Roozkhosh;Patrick Carpanedo;Sanskriti Sharma;R. Mancuso

Effortless Locality on Data Systems Using Relational Fabric

• DOI: 10.1109/tkde.2024.3386827
• 发表时间: 2024
• 期刊: IEEE Transactions on Knowledge and Data Engineering
• 影响因子: 8.9
• 作者: Tarikul Islam Papon;J. Mun;Konstantinos Karatsenidis;Shahin Roozkhosh;Denis Hoornaert;Ahmed Sanaullah;Ulrich Drepper;Renato Mancuso;Manos Athanassoulis