2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)最新文献

Design and Evaluation of Controllers based on Microservices 基于微服务的控制器设计与评价

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00013

B. R. Siqueira, F. Ferrari, R. Lemos

{"title":"Design and Evaluation of Controllers based on Microservices","authors":"B. R. Siqueira, F. Ferrari, R. Lemos","doi":"10.1109/SEAMS59076.2023.00013","DOIUrl":"https://doi.org/10.1109/SEAMS59076.2023.00013","url":null,"abstract":"In self-adaptive software systems, generic controllers can be configured parametrically according to system needs, even though their reuse is restricted because of the wide range of services that can be provided by each of the stages of a feedback control loop, like MAPE-K. Rainbow is a typical example of such a generic, monolithic controller. This paper advocates controllers that are structurally flexible, and which are composed from micro-controllers, each providing specific services (e.g., based on microservices). To provide evidence on the feasibility of our approach, we compare three different architectural configurations for the controller: monolithic, decentralised, and decentralised with a meta-controller. Results from our experiments indicate that even though the decentralised configuration with a meta-controller demanded more computational resources, it performed comparatively well when compared to the other configurations. We conclude that a multi-layered controller design, based on micro-controllers, provides the basis for defining structurally flexible controllers at operational-time, and may promote reuse at development-time.","PeriodicalId":262204,"journal":{"name":"2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129157983","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

PlanIoT: A Framework for Adaptive Data Flow Management in IoT-enhanced Spaces PlanIoT:物联网增强空间中自适应数据流管理框架

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00029

Houssam Hajj Hassan, Georgios Bouloukakis, A. Kattepur, D. Conan, Djamel Belaïd

{"title":"PlanIoT: A Framework for Adaptive Data Flow Management in IoT-enhanced Spaces","authors":"Houssam Hajj Hassan, Georgios Bouloukakis, A. Kattepur, D. Conan, Djamel Belaïd","doi":"10.1109/SEAMS59076.2023.00029","DOIUrl":"https://doi.org/10.1109/SEAMS59076.2023.00029","url":null,"abstract":"This paper presents PlanIoT, a middleware approach for enabling adaptive data flow management in IoT-enhanced spaces (e.g., buildings) using automated planning methodologies. Today’s sensorized spaces deploy applications falling to diverse categories such as analytics, real-time, transactional, video streaming and emergency response. Depending on the category, applications have different QoS requirements related to timely delivery, networking resources, accuracy, etc. Typically, state-of-the-art data exchange systems introduce policies for bandwidth allocation or prioritization for specific data types and applications (e.g., camera data). PlanIoT introduces a generic QoS model to evaluate the performance of data flowing in Edge infrastructures and generates their performance metrics dataset. Such a dataset is used as input to automated planning representations to intelligently satisfy QoS requirements of deployed applications. The experimental results show that PlanIoT improves the end-to-end response time of time-sensitive flows by more than 50%, especially with an overloaded Edge infrastructure. We also show the adaptivity of our approach by considering emergency cases that require Edge infrastructure reconfiguration.","PeriodicalId":262204,"journal":{"name":"2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123812160","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: 3

Dynamic Runtime Integration of New Models in Digital Twins 数字孪生中新模型的动态运行时集成

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00016

Henrik Ejersbo, Kenneth Lausdahl, Mirgita Frasheri, L. Esterle

引用次数: 1

Towards a Robust On-line Performance Model Identification for Change Impact Prediction 面向变化影响预测的鲁棒在线性能模型识别

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00018

Yar Rouf, Joydeep Mukherjee, Marin Litoiu

{"title":"Towards a Robust On-line Performance Model Identification for Change Impact Prediction","authors":"Yar Rouf, Joydeep Mukherjee, Marin Litoiu","doi":"10.1109/SEAMS59076.2023.00018","DOIUrl":"https://doi.org/10.1109/SEAMS59076.2023.00018","url":null,"abstract":"In self-adaptive systems, model-based control assumes decisions are taken based on a model that is identified at run-time. The model is built by measuring the control inputs, disturbances, and outputs of the controlled system and fitting the data into a function. Models can be accurate locally, that is, for data already seen by the system and by the model identification method. However, many times an Autonomic Manager (AM) needs to move the cloud-native applications into new operational points, e.g. by adding new applications to the shared environment, scaling applications or consolidating resources. There are no data points yet for these new operational regions to have any certainty that the prediction models are accurate. In this paper, we propose a method to identify a model that predicts metrics at any unexplored operational point of a cloud-native application. The method is based on a lightweight Look-Ahead Scanner (LAS) mechanism that explores different operational points by injecting controlled short-lived load. We evaluate our method on realistic applications deployed on public clouds. We show that the proposed method can build models that outperform the state of the art ML models by 42%.","PeriodicalId":262204,"journal":{"name":"2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133883207","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

Artifact: Implementation of an Adaptive Flow Management Framework for IoT Spaces 工件:物联网空间自适应流管理框架的实现

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00032

Houssam Hajj Hassan, Georgios Bouloukakis, A. Kattepur, D. Conan, Djamel Belaïd

引用次数: 0

Control Action Types -Patterns of Applied Control for Self-adaptive Systems 控制动作类型-自适应系统应用控制模式

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00015

Christian Kröher, Lea Gerling, Klaus Schmid

引用次数: 0

Artifact Track Program Committee 工件跟踪项目委员会

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/icsme.2017.97

引用次数: 0

Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions 变化操作条件下机器学习感知可靠性的自适应管理

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00019

Aniket Salvi, Gereon Weiss, M. Trapp

{"title":"Adaptively Managing Reliability of Machine Learning Perception under Changing Operating Conditions","authors":"Aniket Salvi, Gereon Weiss, M. Trapp","doi":"10.1109/SEAMS59076.2023.00019","DOIUrl":"https://doi.org/10.1109/SEAMS59076.2023.00019","url":null,"abstract":"Autonomous systems are deployed in various contexts, which makes the role of the surrounding environment and operational context increasingly vital, e.g., for autonomous driving. To account for these changing operating conditions, an autonomous system must adapt its behavior to maintain safe operation and a high level of autonomy. Machine Learning (ML) components are generally being introduced for perceiving an autonomous system’s environment, but their reliability strongly depends on the actual operating conditions, which are hard to predict. Therefore, we propose a novel approach to learn the influence of the prevalent operating conditions and use this knowledge to optimize reliability of the perception through self-adaptation. Our proposed approach is evaluated in a perception case study for autonomous driving. We demonstrate that our approach is able to improve perception under varying operating conditions, in contrast to the state-of-the-art. Besides the advantage of interpretability, our results show the superior reliability of ML-based perception.","PeriodicalId":262204,"journal":{"name":"2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125394097","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

Adaptive Controllers and Digital Twin for Self-Adaptive Robotic Manipulators 自适应机械臂的自适应控制器和数字孪生

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00017

Farid Edrisi, Diego Perez-Palacin, M. Caporuscio, Samuele Giussani

引用次数: 0

Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems 小型无人机系统错构型的自适应机制

2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS) Pub Date : 2023-05-01 DOI: 10.1109/SEAMS59076.2023.00030

Salil Purandare, Urjoshi Sinha, M. N. A. Islam, J. Cleland-Huang, Myra B. Cohen

{"title":"Self-Adaptive Mechanisms for Misconfigurations in Small Uncrewed Aerial Systems","authors":"Salil Purandare, Urjoshi Sinha, M. N. A. Islam, J. Cleland-Huang, Myra B. Cohen","doi":"10.1109/SEAMS59076.2023.00030","DOIUrl":"https://doi.org/10.1109/SEAMS59076.2023.00030","url":null,"abstract":"Small uncrewed aerial systems, sUAS, provide an invaluable resource for performing a variety of surveillance, search, and delivery tasks in remote or hostile terrains which may not be accessible by other means. Due to the critical role sUAS play in these situations, it is vital that they are well configured in order to ensure a safe and stable flight. However, it is not uncommon for mistakes to occur in configuration and calibration, leading to failures or incomplete missions. To address this problem, we propose a set of self-adaptive mechanisms and implement them into a self-adaptive framework, CICADA, for Controller Instability-preventing Configuration Aware Drone Adaptation. CICADA dynamically detects unstable drone behavior during flight and adapts to mitigate this threat. We have built a prototype of CICADA using a popular open source sUAS simulator and experimented with a large number of different configurations. Experimental results show that CICADA’s adaptations reduce controller instability and enable the sUAS to recover from a significant number of poor configurations. In cases where we cannot complete the intended mission, invoking alternative adaptations may still help by allowing the vehicle to loiter or land safely in place, avoiding potentially catastrophic crashes.","PeriodicalId":262204,"journal":{"name":"2023 IEEE/ACM 18th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133779844","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