2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)最新文献_第5页

An Efficient VM Scheduling Framework for Interactive Streaming Service 一种高效的交互式流媒体服务虚拟机调度框架

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00023

Jongbeen Han, Minwook Lee, Chanho Choi, Yongseok Son, Hyeonsang Eom

引用次数: 0

Implementing CUDA Unified Memory in the PyTorch Framework 在PyTorch框架中实现CUDA统一内存

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00029

Jake Choi, H. Yeom, Yoonhee Kim

引用次数: 1

In-Situ Artificial Intelligence for Self-* Devices: The Elastic AI Ecosystem (Tutorial) 自*设备的原位人工智能:弹性AI生态系统(教程)

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00085

Lukas Einhaus, Chao Qian, Christopher Ringhofer, Gregor Schiele

引用次数: 0

[Organizing Committee and Programming Committee] [组委会及节目策划委员会]

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/acsos-c52956.2021.00018

引用次数: 0

Towards Pulverised Architectures for Collective Adaptive Systems through Multi-Tier Programming 通过多层编程实现集体自适应系统的粉碎体系结构

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00033

Gianluca Aguzzi, Roberto Casadei, Danilo Pianini, G. Salvaneschi, Mirko Viroli

{"title":"Towards Pulverised Architectures for Collective Adaptive Systems through Multi-Tier Programming","authors":"Gianluca Aguzzi, Roberto Casadei, Danilo Pianini, G. Salvaneschi, Mirko Viroli","doi":"10.1109/ACSOS-C52956.2021.00033","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00033","url":null,"abstract":"Engineering large-scale Cyber-Physical Systems - like robot swarms, augmented crowds, and smart cities - is challenging, for many issues have to be addressed, including specifying their collective adaptive behaviour and managing the connection of the digital and physical parts. In particular, some approaches propose self-organising mechanisms to actually program global behaviour while fostering decentralised, asynchronous execution. However, most of these approaches couple behavioural specifications to specific network architectures (e.g., peer-to-peer), and therefore do not promote flexible exploitation of the underlying infrastructure. Conversely, pulverisation is a recent approach that enables self-organising behaviour to be defined independently of the available infrastructure while retaining functional correctness. However, there are currently no tools to formally specify and verify concrete architectures for pulverised applications. Therefore, we propose to combine pulverisation with multi-tier programming, a paradigm that supports the specification of the architecture of distributed systems in a single code base, and enables static checks for the correctness of actual deployments. The approach can be implemented by combining the ScaFi aggregate computing toolchain with the ScalaLoci multi-tier programming language, paving the path to support the development of self-organising cyber-physical systems, addressing both functional (behaviour) and non-functional concerns (deployment) in a single code base and modular fashion.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128118507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Work With What You've Got: An Approach for Resource-Driven Adaptation 利用现有资源:资源驱动型适应方法

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00030

Paul A. Akiki, A. Zisman, A. Bennaceur

引用次数: 1

What Can Collective Construction Learn from Neural Cellular Automata? 集体建构能从神经元胞自动机中学到什么?

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00061

A. Vardy

引用次数: 0

Towards a Plug-In Architecture to Enable Self-Adaptation through Middleware 通过中间件实现自适应的插件体系结构

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00054

Sharmin Jahan, Ian Riley, Alonzo Sabino, R. Gamble

{"title":"Towards a Plug-In Architecture to Enable Self-Adaptation through Middleware","authors":"Sharmin Jahan, Ian Riley, Alonzo Sabino, R. Gamble","doi":"10.1109/ACSOS-C52956.2021.00054","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00054","url":null,"abstract":"To be self-adaptive, a system must exhibit capabilities related to the monitoring, analyzing, planning, and executing adaptations. Often these activities require in-depth knowledge of the system's architecture, functionality, and requirements. Thus, the traditional design pattern for self-adaptive systems is the MAPE- K loop, which can be infeasible to implement into legacy systems. Popular approaches to incorporate self-adaptive behavior into legacy systems employ an external framework and/or middleware. These software applications require significant expertise in their choice of tools and can be unaccommodating to systems dependent on third-party vendors, i.e., enterprise systems. In this paper, we investigate the design of the Adapt! architecture as a plug-in architecture that operates as middleware to enable system self-adaptation. We discuss key challenges associated with middleware for self-adaptive system configuration, survey existing approaches, and characterize an extensible architecture that would be applicable to legacy systems. The Adapt! architecture is exemplified through two case studies that include a load balancer and a tele-assistance system.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114727734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

OHODIN – Online Anomaly Detection for Data Streams 在线异常检测数据流

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00046

Christian Gruhl, Sven Tomforde

引用次数: 1

Is Data Migration Evil in the NVM File System? 数据迁移在NVM文件系统中是邪恶的吗?

2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C) Pub Date : 2021-09-01 DOI: 10.1109/ACSOS-C52956.2021.00024

Jungwook Han, H.I. Byun, Hyungjoon Kwon, Sungyong Park, Youngjae Kim

{"title":"Is Data Migration Evil in the NVM File System?","authors":"Jungwook Han, H.I. Byun, Hyungjoon Kwon, Sungyong Park, Youngjae Kim","doi":"10.1109/ACSOS-C52956.2021.00024","DOIUrl":"https://doi.org/10.1109/ACSOS-C52956.2021.00024","url":null,"abstract":"The NVM file system often exhibits unstable I/O performance in a NUMA server environment due to frequent remote memory accesses when threads and data are exclusively placed on different NUMA nodes. Further, multiple threads may use all of the available bandwidth of the Integrated Memory Controller (iMC), causing an iMC bottleneck. NThread partly addresses the problems above by maximizing local memory accesses via migrating threads to data resident CPU node. However, NThread cannot benefit in cases when iM C is overloaded. Therefore, we propose Dragonfly, an approach that migrates data to the memory module of the CPU node where the thread is located when iM C is overloaded. The proposed approach inherently balances the load among iM Cs, thus offering a fair load-balancing among iMCs. Specifically, Dragonfly implements a Migration Trigger Policy (MTP) to migrate data between CPU nodes on an opportunistic basis, minimizing the performance overhead caused by unnecessary data migration. We implement and evaluate NThread and Dragonfly in the NOVA file system deployed on an Intel Optane DC PM server for different application scenarios via Filebench workloads. The evaluation confirms that Dragonfly outperforms on an average 3.26x higher throughput than NThread.","PeriodicalId":268224,"journal":{"name":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126936890","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0