ACM Transactions on Autonomous and Adaptive Systems最新文献_第4页

Self-Adaptation in Industry: A Survey 工业中的自我适应:一项调查

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-05-28 DOI: https://dl.acm.org/doi/10.1145/3589227

Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomas Bures, Amleto Di Salle, Matthias Galster, Patricia Lago, Grace Lewis, Marin Litoiu, Angelika Musil, Juergen Musil, Panos Patros, Patrizio Pelliccione

{"title":"Self-Adaptation in Industry: A Survey","authors":"Danny Weyns, Ilias Gerostathopoulos, Nadeem Abbas, Jesper Andersson, Stefan Biffl, Premek Brada, Tomas Bures, Amleto Di Salle, Matthias Galster, Patricia Lago, Grace Lewis, Marin Litoiu, Angelika Musil, Juergen Musil, Panos Patros, Patrizio Pelliccione","doi":"https://dl.acm.org/doi/10.1145/3589227","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3589227","url":null,"abstract":"Computing systems form the backbone of many areas in our society, from manufacturing to traffic control, healthcare, and financial systems. When software plays a vital role in the design, construction, and operation, these systems are referred to as software-intensive systems. Self-adaptation equips a software-intensive system with a feedback loop that either automates tasks that otherwise need to be performed by human operators or deals with uncertain conditions. Such feedback loops have found their way to a variety of practical applications; typical examples are an elastic cloud to adapt computing resources and automated server management to respond quickly to business needs. To gain insight into the motivations for applying self-adaptation in practice, the problems solved using self-adaptation and how these problems are solved, and the difficulties and risks that industry faces in adopting self-adaptation, we performed a large-scale survey. We received 184 valid responses from practitioners spread over 21 countries. Based on the analysis of the survey data, we provide an empirically grounded overview the of state of the practice in the application of self-adaptation. From that, we derive insights for researchers to check their current research with industrial needs, and for practitioners to compare their current practice in applying self-adaptation. These insights also provide opportunities for applying self-adaptation in practice and pave the way for future industry-research collaborations.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"6 7‐8","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical Auto-Scaling Policies for Data Stream Processing on Heterogeneous Resources 异构资源数据流处理的分层自动伸缩策略

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-05-16 DOI: https://dl.acm.org/doi/10.1145/3597435

Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti

{"title":"Hierarchical Auto-Scaling Policies for Data Stream Processing on Heterogeneous Resources","authors":"Gabriele Russo Russo, Valeria Cardellini, Francesco Lo Presti","doi":"https://dl.acm.org/doi/10.1145/3597435","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3597435","url":null,"abstract":"Data Stream Processing (DSP) applications analyze data flows in near real-time by means of operators, which process and transform incoming data. Operators handle high data rates running parallel replicas across multiple processors and hosts. To guarantee consistent performance without wasting resources in face of variable workloads, auto-scaling techniques have been studied to adapt operator parallelism at run-time. However, most the effort has been spent under the assumption of homogeneous computing infrastructures, neglecting the complexity of modern environments. We consider the problem of deciding both how many operator replicas should be executed and which types of computing nodes should be acquired. We devise heterogeneity-aware policies by means of a two-layered hierarchy of controllers. While application-level components steer the adaptation process for whole applications, aiming to guarantee user-specified requirements, lower-layer components control auto-scaling of single operators. We tackle the fundamental challenge of performance and workload uncertainty, exploiting Bayesian optimization and reinforcement learning to devise policies. The evaluation shows that our approach is able to meet users’ requirements in terms of response time and adaptation overhead, while minimizing the cost due to resource usage, outperforming state-of-the-art baselines. We also demonstrate how partial model information is exploited to reduce training time for learning-based controllers.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"7 3","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hierarchical Auto-Scaling Policies for Data Stream Processing on Heterogeneous Resources 异构资源数据流处理的分层自动伸缩策略

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-05-16 DOI: 10.1145/3597435

Gabriele Russo Russo, V. Cardellini, F. Lo Presti

{"title":"Hierarchical Auto-Scaling Policies for Data Stream Processing on Heterogeneous Resources","authors":"Gabriele Russo Russo, V. Cardellini, F. Lo Presti","doi":"10.1145/3597435","DOIUrl":"https://doi.org/10.1145/3597435","url":null,"abstract":"Data Stream Processing (DSP) applications analyze data flows in near real-time by means of operators, which process and transform incoming data. Operators handle high data rates running parallel replicas across multiple processors and hosts. To guarantee consistent performance without wasting resources in face of variable workloads, auto-scaling techniques have been studied to adapt operator parallelism at run-time. However, most the effort has been spent under the assumption of homogeneous computing infrastructures, neglecting the complexity of modern environments. We consider the problem of deciding both how many operator replicas should be executed and which types of computing nodes should be acquired. We devise heterogeneity-aware policies by means of a two-layered hierarchy of controllers. While application-level components steer the adaptation process for whole applications, aiming to guarantee user-specified requirements, lower-layer components control auto-scaling of single operators. We tackle the fundamental challenge of performance and workload uncertainty, exploiting Bayesian optimization and reinforcement learning to devise policies. The evaluation shows that our approach is able to meet users’ requirements in terms of response time and adaptation overhead, while minimizing the cost due to resource usage, outperforming state-of-the-art baselines. We also demonstrate how partial model information is exploited to reduce training time for learning-based controllers.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"1 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41467818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

GLDAP: Global Dynamic Action Persistence Adaptation for Deep Reinforcement Learning 深度强化学习的全局动态动作持久性适应

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-04-03 DOI: 10.1145/3590154

Junbo Tong, Daming Shi, Yi Liu, Wenhui Fan

引用次数: 0

On Understanding Context Modelling for Adaptive Authentication Systems 理解自适应认证系统的上下文建模

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-03-31 DOI: https://dl.acm.org/doi/10.1145/3582696

Anne Bumiller, Stéphanie Challita, Benoit Combemale, Olivier Barais, Nicolas Aillery, Gael Le Lan

{"title":"On Understanding Context Modelling for Adaptive Authentication Systems","authors":"Anne Bumiller, Stéphanie Challita, Benoit Combemale, Olivier Barais, Nicolas Aillery, Gael Le Lan","doi":"https://dl.acm.org/doi/10.1145/3582696","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3582696","url":null,"abstract":"In many situations, it is of interest for authentication systems to adapt to context (e.g., when the user’s behavior differs from the previous behavior). Hence, representing the context with appropriate and well-designed models is crucial. We provide a comprehensive overview and analysis of research work on Context Modelling for Adaptive Authentication systems (CM4AA). To this end, we pursue three goals based on the Systematic Mapping Study (SMS) and Systematic Literature Review (SLR) research methodologies. We first present a SMS to structure the research area of CM4AA (goal 1). We complement the SMS with an SLR to gather and synthesise evidence about context information and its modelling for adaptive authentication systems (goal 2). From the knowledge gained from goal 2, we determine the desired properties of the context information model and its use for adaptive authentication systems (goal 3). Motivated to find out how to model context information for adaptive authentication, we provide a structured survey of the literature to date on CM4AA and a classification of existing proposals according to several analysis metrics. We demonstrate the ability of capturing a common set of contextual features that are relevant for adaptive authentication systems independent from the application domain. We emphasise that despite the possibility of a unified framework, no standard for CM4AA exists.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"7 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Model-driven Cluster Resource Management for AI Workloads in Edge Clouds 边缘云中AI工作负载的模型驱动集群资源管理

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-03-27 DOI: https://dl.acm.org/doi/10.1145/3582080

Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin, Prashant Shenoy

{"title":"Model-driven Cluster Resource Management for AI Workloads in Edge Clouds","authors":"Qianlin Liang, Walid A. Hanafy, Ahmed Ali-Eldin, Prashant Shenoy","doi":"https://dl.acm.org/doi/10.1145/3582080","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3582080","url":null,"abstract":"Since emerging edge applications such as Internet of Things (IoT) analytics and augmented reality have tight latency constraints, hardware AI accelerators have been recently proposed to speed up deep neural network (DNN) inference run by these applications. Resource-constrained edge servers and accelerators tend to be multiplexed across multiple IoT applications, introducing the potential for performance interference between latency-sensitive workloads. In this article, we design analytic models to capture the performance of DNN inference workloads on shared edge accelerators, such as GPU and edgeTPU, under different multiplexing and concurrency behaviors. After validating our models using extensive experiments, we use them to design various cluster resource management algorithms to intelligently manage multiple applications on edge accelerators while respecting their latency constraints. We implement a prototype of our system in Kubernetes and show that our system can host 2.3× more DNN applications in heterogeneous multi-tenant edge clusters with no latency violations when compared to traditional knapsack hosting algorithms.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"7 6","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter 基于模块化机器人可编程物的分布式大小约束聚类算法

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-03-27 DOI: https://dl.acm.org/doi/10.1145/3580282

Jad Bassil, Abdallah Makhoul, Benoît Piranda, Julien Bourgeois

{"title":"Distributed Size-constrained Clustering Algorithm for Modular Robot-based Programmable Matter","authors":"Jad Bassil, Abdallah Makhoul, Benoît Piranda, Julien Bourgeois","doi":"https://dl.acm.org/doi/10.1145/3580282","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3580282","url":null,"abstract":"Modular robots are defined as autonomous kinematic machines with variable morphology. They are composed of several thousands or even millions of modules that are able to coordinate to behave intelligently. Clustering the modules in modular robots has many benefits, including scalability, energy-efficiency, reducing communication delay, and improving the self-reconfiguration process that focuses on finding a sequence of reconfiguration actions to convert robots from an initial shape to a goal one. The main idea of clustering is to divide the modules in an initial shape into a number of groups based on the final goal shape to enhance the self-reconfiguration process by allowing clusters to reconfigure in parallel. In this work, we prove that the size-constrained clustering problem is NP-complete, and we propose a new tree-based size-constrained clustering algorithm called “SC-Clust.” To show the efficiency of our approach, we implement and demonstrate our algorithm in simulation on networks of up to 30000 modules and on the Blinky Blocks hardware with up to 144 modules.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"7 5","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering 基于遗传规划的半自动化多智能体系统工程框架

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-03-02 DOI: 10.1145/3584731

Nicola Mc Donnell, J. Duggan, E. Howley

{"title":"A Genetic Programming-based Framework for Semi-automated Multi-agent Systems Engineering","authors":"Nicola Mc Donnell, J. Duggan, E. Howley","doi":"10.1145/3584731","DOIUrl":"https://doi.org/10.1145/3584731","url":null,"abstract":"With the rise of new technologies, such as Edge computing, Internet of Things, Smart Cities, and Smart Grids, there is a growing need for multi-agent systems (MAS) approaches. Designing multi-agent systems is challenging, and doing this in an automated way is even more so. To address this, we propose a new framework, Evolved Gossip Contracts (EGC). It builds on Gossip Contracts (GC), a decentralised cooperation protocol that is used as the communication mechanism to facilitate self-organisation in a cooperative MAS. GC has several methods that are implemented uniquely, depending on the goal the MAS aims to achieve. The EGC framework uses evolutionary computing to search for the best implementation of these methods. To evaluate EGC, it was used to solve a classical NP-hard optimisation problem, the Bin Packing Problem (BPP). The experimental results show that EGC successfully discovered a decentralised strategy to solve the BPP, which is better than two classical heuristics on test cases similar to those on which it was trained; the improvement is statistically significant. EGC is the first framework that leverages evolutionary computing to semi-automate the discovery of a communication protocol for a MAS that has been shown to be effective at solving an NP-hard problem.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"18 1","pages":"1 - 30"},"PeriodicalIF":2.7,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42109373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime 通过运行时的平衡验证来增强网络物理系统的弹性

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-02-16 DOI: 10.1145/3584364

Matteo Camilli, R. Mirandola, P. Scandurra

{"title":"Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime","authors":"Matteo Camilli, R. Mirandola, P. Scandurra","doi":"10.1145/3584364","DOIUrl":"https://doi.org/10.1145/3584364","url":null,"abstract":"Cyber-physical systems often operate in dynamic environments where unexpected events should be managed while guaranteeing acceptable behavior. Providing comprehensive evidence of their dependability under change represents a major open challenge. In this article, we exploit the notion of equilibrium, that is, the ability of the system to maintain an acceptable behavior within its multidimensional viability zone and propose RUNE2 (RUNtime Equilibrium verification and Enforcement), an approach able to verify at runtime the equilibrium condition and to enforce the system to stay in its viability zone. RUNE2 includes (i) a system specification that takes into account the uncertainties related to partial knowledge and possible changes; (ii) the computation of the equilibrium condition to define the boundaries of the viability zone; (iii) a runtime equilibrium verification method that leverages Bayesian inference to reason about the ability of the system to remain viable; and (iv) a resilience enforcement mechanism that exploits the posterior knowledge to steer the execution of the system inside the viability zone. We demonstrate both benefits and costs of the proposed approach by conducting an empirical evaluation using two case studies and 24 systems synthetically generated from pseudo-random models with increasing structural complexity.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"18 1","pages":"1 - 32"},"PeriodicalIF":2.7,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45188570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime 通过运行时的平衡验证来增强网络物理系统的弹性

IF 2.7 4区计算机科学

ACM Transactions on Autonomous and Adaptive Systems Pub Date : 2023-02-16 DOI: https://dl.acm.org/doi/10.1145/3584364

Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra

{"title":"Enforcing Resilience in Cyber-physical Systems via Equilibrium Verification at Runtime","authors":"Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra","doi":"https://dl.acm.org/doi/10.1145/3584364","DOIUrl":"https://doi.org/https://dl.acm.org/doi/10.1145/3584364","url":null,"abstract":"Cyber-Physical Systems often operate in dynamic environments where unexpected events should be managed while guaranteeing acceptable behavior. Providing comprehensive evidence of their dependability under change represents a major open challenge. In this paper, we exploit the notion of equilibrium, that is, the ability of the system to maintain an acceptable behavior within its multidimensional viability zone and we propose RUNE2 (RUNtime Equilibrium verification and Enforcement), an approach able to verify at runtime the equilibrium condition and to enforce the system to stay in its viability zone. RUNE2 includes (i) a system specification that takes into account the uncertainties related to partial knowledge and possible changes; (ii) the computation of the equilibrium condition to define the boundaries of the viability zone; (iii) a runtime equilibrium verification method that leverages Bayesian inference to reason about the ability of the system to remain viable; and (iv) a resilience enforcement mechanism that exploits the posterior knowledge to steer the execution of the system inside the viability zone. We demonstrate both benefits and costs of the proposed approach by conducting an empirical evaluation using two selected case studies and additional 24 systems synthetically generated from pseudo-random models having increasing structural complexity.","PeriodicalId":50919,"journal":{"name":"ACM Transactions on Autonomous and Adaptive Systems","volume":"7 7","pages":""},"PeriodicalIF":2.7,"publicationDate":"2023-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138503612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0