scholarly journals Self-Adaptive Data Processing to Improve SLOs for Dynamic IoT Workloads

Computers ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 12 ◽  
Author(s):  
Peeranut Chindanonda ◽  
Vladimir Podolskiy ◽  
Michael Gerndt
Keyword(s):  
Data Processing ◽  
Service Level ◽  
Predictive Maintenance ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Physical Interaction ◽  
Adaptation Mechanism ◽  
Message Queue ◽  
Adaptive Agent ◽  
Self Adaptive

Internet of Things (IoT) covers scenarios of cyber–physical interaction of smart devices with humans and the environment and, such as applications in smart city, smart manufacturing, predictive maintenance, and smart home. Traditional scenarios are quite static in the sense that the amount of supported end nodes, as well as the frequency and volume of observations transmitted, does not change much over time. The paper addresses the challenge of adapting the capacity of the data processing part of IoT pipeline in response to dynamic workloads for centralized IoT scenarios where the quality of user experience matters, e.g., interactivity and media streaming as well as the predictive maintenance for multiple moving vehicles, centralized analytics for wearable devices and smartphones. The self-adaptation mechanism for data processing IoT infrastructure deployed in the cloud is horizontal autoscaling. In this paper we propose augmentations to the computation schemes of data processing component’s desired replicas count from the previous work; these augmentations aim to repurpose original sets of metrics to tackle the task of SLO violations minimization for dynamic workloads instead of minimizing the cost of deployment in terms of instance seconds. The cornerstone proposed augmentation that underpins all the other ones is the adaptation of the desired replicas computation scheme to each scaling direction (scale-in and scale-out) separately. All the proposed augmentations were implemented in the standalone self-adaptive agent acting alongside Kubernetes’ HPA such that limitations of timely acquisition of the monitoring data for scaling are mitigated. Evaluation and comparison with the previous work show improvement in service level achieved, e.g., latency SLO violations were reduced from 2.87% to 1.70% in case of the forecasted message queue length-based replicas count computation used both for scale-in and scale-out, but at the same time higher cost of the scaled data processor deployment is observed.

scholarly journals Smart Manufacturing Systems and Applied Industrial Technologies for a Sustainable Industry: A Systematic Literature Review

2020 ◽  
Vol 10 (8) ◽  
pp. 2897
Author(s):  
Raffaele Cioffi ◽  
Marta Travaglioni ◽  
Giuseppina Piscitelli ◽  
Antonella Petrillo ◽  
Adele Parmentola
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Manufacturing Systems ◽  
Business Models ◽  
New Technologies ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Digital Innovation ◽  
Smart Manufacturing Systems

Smart manufacturing is considered as a new paradigm that makes work smarter and more connected, bringing speed and flexibility through the introduction of digital innovation. Today, digital innovation is closely linked to the “sustainability” of companies. Digital innovation and sustainability are two inseparable principles that are based on the concept of circular economy. Digital innovation enables a circular economy model, promoting the use of solutions like digital platforms, smart devices, and artificial intelligence that help to optimize resources. Thus, the purpose of the research is to present a systematic literature review on what enabling technologies can promote new circular business models. A total of 31 articles were included in the study. Our results showed that realization of the circular economy involved two main changes: (i) managerial changes and (ii) legislative changes. Furthermore, the creation of the circular economy can certainly be facilitated by innovation, especially through the introduction of new technologies and through the introduction of digital innovations.

scholarly journals A Self-adaptive Agent-based System for Cloud Platforms

2018 ◽  
Author(s):  
Merzoug Soltane ◽  
Yudith Cardinale ◽  
Rafael Angarita ◽  
Philippe Rosse ◽  
Marta Rukoz ◽  
...  
Keyword(s):  
Agent Based ◽  
Adaptive Agent ◽  
Self Adaptive

The ERM-Based Self-Adaptive Agent Model

2011 ◽  
Vol 341-342 ◽  
pp. 494-498
Author(s):  
Guo Rui Huang ◽  
Fei Liu ◽  
Xu Cheng ◽  
Chao Fan Qiu
Keyword(s):  
External Environment ◽  
Dynamic Environment ◽  
Regulation Mechanism ◽  
Endocrine Regulation ◽  
Internal Environment ◽  
Agent Model ◽  
Adaptive Agent ◽  
Self Adaptive

Inspired by the mechanism of behaviour control of organisms, this paper attempts to build an underlying model of their physical and psychological activities in a dynamic environment with the purpose to achieve the self-adaption of robot behaviour in a complex, changeable environment. It designs an internal environment and emotion- & motive-generating models based upon the endocrine regulation mechanism (ERM). The robot relies upon the dynamic stability of the internal environment to accomplish its self-adaption to the external environment. The emotion-generating model is applied to in vivo and in vitro contingencies of various kinds; by releasing hormones, the emotion generated influences the robot’s in vivo and in vitro perception, and then its behavioural choice. The motive-generating model is employed to maintain the relative stability of the internal environment, and the motive generated leads to the corresponding behavioural choice directly. The experimental results prove the effectiveness of this ERM-based self-adaptive robot model.

scholarly journals A Framework for Real Time Processing of Sensor Data in the Cloud

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Supun Kamburugamuve ◽  
Leif Christiansen ◽  
Geoffrey Fox
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Cloud Services ◽  
Sensor Data ◽  
Smart Devices ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Autonomous Robot Navigation ◽  
Real Time Data Processing

We describe IoTCloud, a platform to connect smart devices to cloud services for real time data processing and control. A device connected to IoTCloud can communicate with real time data analysis frameworks deployed in the cloud via messaging. The platform design is scalable in connecting devices as well as transferring and processing data. With IoTCloud, a user can develop real time data processing algorithms in an abstract framework without concern for the underlying details of how the data is distributed and transferred. For this platform, we primarily consider real time robotics applications such as autonomous robot navigation, where there are strict requirements on processing latency and demand for scalable processing. To demonstrate the effectiveness of the system, a robotic application is developed on top of the framework. The system and the robotics application characteristics are measured to show that data processing in central servers is feasible for real time sensor applications.

scholarly journals PaaS Cloud Application and Database Portability: An Initial View

2020 ◽  
Vol 9 (4) ◽  
pp. 1799-1804
Keyword(s):  
Cloud Computing ◽  
Web Services ◽  
Cluster Computing ◽  
Service Oriented Architecture ◽  
Service Level ◽  
Software Systems ◽  
New Paradigm ◽  
Message Queue ◽  
Solution Approach ◽  
Platform As A Service

A new paradigm to cater to the demand for increasingly complex software systems and to shape the way software applications are developed, has emerged, called Cloud Computing. Evolved from the already prevailing and established technologies such as web services, SOA (Service Oriented architecture), virtualization, grid, and cluster computing, Cloud computing proved it to realize the dream of transforming computing as a utility to the customers. Applications developed at Platform as a Service level (Infrastructure as a Service and Software as a Service being the other two levels) face vendor lock-in issue as the proprietary and non-standard APIs offered by providers results in a lack of interoperability and portability among cloud providers. This paper reports on an experiment done to assess the difficulties encountered while porting an application that uses various SQL and NoSQL data stores, message queue service and blob storage of Microsoft Azure, Amazon Web services and Google Cloud platform among each other. The heterogeneity of the incompatible proprietary interfaces makes the porting a non-trivial task. Various problems faced during the portability of the application are discussed and a middleware solution approach to these problems is proposed in this paper.

scholarly journals A SEIQR Model considering the Effects of Different Quarantined Rates on Worm Propagation in Mobile Internet

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Yonghua Zheng ◽  
Jianhua Zhu ◽  
Chaoan Lai
Keyword(s):  
Mobile Networks ◽  
Manufacturing System ◽  
Reproduction Number ◽  
Vaccination Strategy ◽  
Mobile Internet ◽  
Endemic Equilibrium ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Asymptotically Stable ◽  
Vaccination Strategies

At present, Wi-Fi is a common medium for connecting smart devices to networks in factories. The application of mobile Internet in smart manufacturing system (SMIS) speeds up the process of smart manufacturing but also increases SMIS vulnerability to worm attack from mobile networks. In this paper, we propose a new SLBQR (susceptible-latent-breaking out-quarantined-recovered) model considering vaccination strategies with temporary immunity and quarantined strategies. Based on basic reproduction number, we give expression of quarantined rate φ and obtain the threshold ϕ∗ of quarantined rate φ such that the worm-free equilibrium is asymptotically stable when ϕ≥ϕ∗, implying that the worm dies out eventually and its attack remains under control; the endemic equilibrium is asymptotically stable when φ<φ∗, namely, the worm is always persistent and spreading within a population. Hence, we give the quarantined strategy ϕ≥ϕ∗ to suppress the spread of virus. In addition, by theoretical analysis, we can conclude that even if the immunity time is unlimited, endemic equilibrium will not become worm-free. In other words, there is a mutation in the virus, which proves that there is no vaccination strategy with permanent immunity. Finally, we simulate our model with different temporary immune time and quarantine rates, and the results verify our theorem.

scholarly journals Research on intelligent manufacturing development approach for China's local valve industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Victor Chang ◽  
Yuanyuan Kate Xu ◽  
Jingqi Zhang ◽  
Qianwen Xu
Keyword(s):  
Production Efficiency ◽  
Research Work ◽  
Intelligent Manufacturing ◽  
Current Status ◽  
Smart Manufacturing ◽  
Smart Devices ◽  
Planning Stage ◽  
Content Type ◽  
Intelligent Software ◽  
Development Approach

PurposeThe purpose of this paper is to investigate the current situation of China's local valve industry, the maturity of intelligent manufacturing and the way to promote intellectual development.Design/methodology/approachFirstly, a macro analysis of the valve market environment from the domestic and international perspective was conducted. Secondly, online surveys and in-depth interviews were administered to understand the current status of IM development and future development goals. Finally, case studies were conducted to demonstrate whether the hypothesis of the development approach is feasible.FindingsThis study finds that the overall maturity level of the local valve industry is still in the planning stage since the local valve industry lacks concentration and is relatively scattered. In addition, the feasible development approach is dependent on smart devices to improve production efficiency, ensure quality management and effectively control costs.Research limitations/implicationsThe research is conducted and focused on the Yangtze River Delta region instead of the whole country, and the size of the sample is small. Therefore, there may be some characteristics omitted in the analysis.Practical implicationsManufacturers can upgrade to smart manufacturing through intelligent software platforms in order to complete an automatic interaction of data and devices. In addition, manufacturers should complete cross-regional collaborative development through the industrial Internet of things.Originality/valueThere is little or none of research work completed for the development strategy of the valve industry internationally. Therefore, research findings of this area can provide a fundamental understanding of China's local valve industry and contribute to the existing knowledge.

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