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Frontiers of Computer Science 2022年第6期16卷 1-13页

作者： Rong ZENG Xiaofeng HOU Lu ZHANG Chao LI Wenli ZHENG Minyi GUO Department of Computer Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China

With the demand of agile development and management,cloud applications today are moving towards a more fine-grained microservice paradigm,where smaller and simpler functioning parts are combined for providing end-to-end *** recent years,we have witnessed many research efforts that strive to optimize the performance of cloud computing system in this new *** paper provides an overview of existing works on recent system performance optimization techniques and classify them based on their design *** also identify open issues and challenges in this important research direction.

关键词： microservice cloud computing system performance optimization challenges opportunities

Intelligent microservice Based on Blockchain for Healthcare Applications

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Computers, Materials & Continua 2021年第11期69卷 2513-2530页

作者： Faisal Jamil Faiza Qayyum Soha Alhelaly Farjeel Javed Ammar Muthanna Department of Computer Engineering Jeju National UniversityJeju-si63243Korea College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia SAP Pakistan Liaison Office Islamabad44010Pakistan Department of Telecommunication Networks and Data Transmission The Bonch-Bruevich Saint-Petersburg State University of TelecommunicationsSaint Petersburg193232Russia Peoples’Friendship University of Russia(RUDN University)6 Miklukho-Maklaya St MoscowMoscow117198Russian Federation

Nowadays,the blockchain,Internet of Things,and artificial intelligence technology revolutionize the traditional way of data mining with the enhanced data preprocessing,and analytics approaches,including improved service ***,one of the main challenges is designing a combined approach that provides the analytics functionality for diverse data and sustains IoT applications with robust and modular blockchain-enabled services in a diverse *** data analytics model not only provides support insights in IoT data but also fosters process *** a robust IoT-based secure analytic model is challenging for several purposes,such as data from diverse sources,increasing data size,and monolithic service designing *** article proposed an intelligent blockchain-enabled microservice to support predictive analytics for personalized fitness data in an IoT *** designed system support microservice-based analytic functionalities to provide secure and reliable services for *** demonstrate the proposed model effectiveness,we have used the IoT fitness application as a case *** on the designed predictive analytic model,a recommendation model is developed to recommend daily and weekly diet and workout plans for improved body ***,the recommendation model objective is to help trainers make future health decisions of trainees in terms of workout and diet ***,the proposed model is evaluated using Hyperledger Caliper in terms of latency,throughput,and resource utilization with varying peers and orderer *** experimental result shows that the proposed model is applicable for diverse resourceconstrained blockchain-enabled IoT applications and extensible for several IoT scenarios.

关键词： Internet of things blockchain microservice fitness service

Approach to Anomaly Detection in microservice System with Multi-Source Data Streams

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ZTE Communications 2022年第3期20卷 85-92页

作者： ZHANG Qixun HAN Jing CHENG Li ZHANG Baisheng GONG Zican Peking University Beijing 100091China ZTE Corporation Shenzhen 518057China

microservices have become popular in enterprises because of their excellent scalability and timely update ***,while fine-grained modularity and service-orientation decrease the complexity of system development,the complexity of system operation and maintenance has been greatly increased,on the *** types of system failures occur frequently,and it is hard to detect and diagnose failures in ***,microservices are updated *** anomaly detection models depend on offline training and cannot adapt to the frequent updates of *** paper proposes an anomaly detection approach for microservice systems with multi-source data *** approach realizes online model construction and online anomaly detection,and is capable of self-updating and *** results show that this approach can correctly identify 78.85%of faults of different types.

关键词： anomaly detection data stream microservice monitored indicator system log

A search-based identification of variable microservices for enterprise SaaS

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Frontiers of Computer Science 2023年第3期17卷 29-44页

作者： Sedigheh KHOSHNEVIS Department of Computer Engineering Shahr-e-Qods BranchIslamic Azad UniversityTehran ***Iran

Recently,SaaS applications are developed as a composition of microservices that serve diverse tenants having similar but different requirements,and hence,can be developed as variability-intensive *** identification of these microservices is difficult,time-consuming,and costly,since,they have to satisfy a set of quality metrics for several SaaS architecture configurations at the same *** this paper,we tackle the multi-objective optimization problem of identifying variable microservices aiming optimal granularity(new metric proposed),commonality,and data convergence,with a search-based approach employing the MOEA/D *** empirically and experimentally evaluated the proposed method following the Goal-Question-Metric *** results show that the method is promising in identifying fully consistent,highly reusable,variable microservices with an acceptable multi-tenancy ***,the identified microservices,although not structurally very similar to those identified by the expert architects,provide design quality measures(granularity,etc.)close to(and even better than)the experts.

关键词： SaaS cloud computing microservice searchbased software engineering MOEA/D

Automatic data archiving and visualization at HLS-Ⅱ

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Nuclear Science and Techniques 2018年第9期29卷 179-184页

作者： Yi-Fan Song Chuan Li Ke Xuan Gong-Fa Liu National Synchrotron Radiation Laboratory University of Science and Technology of ChinaHefei 230029China

The control system of Hefei Light Source II(HLS-Ⅱ) is a distributed system based on the experimental physics and industrial control system(EPICS). It is necessary to maintain the central configuration files for the existing archiving system. When the process variables in the control system are added, removed, or updated, the configuration files must be manually modified to maintain consistency with the control system. This paper presents a new method for data archiving, which realizes the automatic configuration of the archiving parameters. The system uses microservice architecture to integrate the EPICS Archiver Appliance and Rec Sync. In this way, the system can collect all the archived meta-configuration from the distributed input/output controllers and enter them into the EPICS Archiver Appliance automatically. Furthermore, we also developed a web-based GUI to provide automatic visualization of real-time and historical data. At present,this system is under commissioning at HLS-Ⅱ. The results indicate that the new archiving system is reliable and convenient to operate. The operation mode without maintenance is valuable for large-scale scientific facilities.

关键词： Automatic archiving Data visualization microservice architecture EPICS Archiver Appliance

Research on robot grabbing system based on hybrid cloud

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The Journal of China Universities of Posts and Telecommunications 2021年第6期28卷 48-54页

作者： Sheng Haiyan Wei Shimin Yu Xiuli Tang Ling School of Automation Beijing University of Posts and TelecommunicationsBeijing 100876China Century College Beijing University of Posts and TelecommunicationsBeijing 100876China

Robot grabbing has been successfully applied to a range of challenging environments but met the resource bottleneck. To answer this question, a hybrid cloud-based robot grabbing system is proposed, which supports centralized bin-picking management and deployment, large-scale storage, and communication technologies. The hybrid cloud combines the powerful computational capabilities through massive parallel computation and higher data storage facilities in the public cloud with data privacy in the private data center. The benchmark tasks against a public cloud based on robot grabbing method are evaluated, whose results indicate that the whole system reduces the data collection time and increases elastic resource scheduling and is adapted in the real industry.

关键词： grabbing hybrid cloud robotic object segmentation and recognition microservice

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A new EPICS time-series data archiver using HBase

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Radiation Detection Technology and Methods 2021年第4期5卷 550-557页

作者： Wenwen Shen Youxin Chen Hai Zheng Jing Wang Guoqiang Shen Guirong Huang Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China University of Chinese Academy of Sciences Beijing 100049China

Background The control system of China ADS front-end demo linac(CAFe)is a distributed control system based on experimental physics and industrial control system(EPICS).The data generated by the control system are stored and retrieved by Channel ***,with the development of accelerator devices,its scale continues to *** Archiver has been unable to meet the increasing data volume in terms of availability,performance,and storage *** This paper presents a new data archiving system of EPICS control *** archive engine is developed with microservice architecture,and the data storage layer uses the distributed database—*** The archive engine supports a variety of archive modes,and process variable(PV)archive requests and confguration changes can be realized without *** can also realize data retrieval in a variety of *** addition,python scripts and Web UI can be used to implement the management functions of the *** Currently,the archiving system is under commissioning at CAFe *** results show that the new archiving system is convenient to operate and easy to expand and provides a research platform for future data analysis.

关键词： Control system microservice Archive engine Database

Resource scheduling techniques in cloud from a view of coordination:a holistic survey

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Frontiers of Information Technology & Electronic Engineering 2023年第1期24卷 1-40页

作者： Yuzhao WANG Junqing YU Zhibin YU School of Computer Science and Technology Huazhong University of Science and TechnologyWuhan 430074China Center of Heterogeneous Intelligent Computer Architecture and Systems Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China

Nowadays,the management of resource contention in shared cloud remains a pending *** evolution and deployment of new application paradigms(e.g.,deep learning training and microservices)and custom hardware(e.g.,graphics processing unit(GPU)and tensor processing unit(TPU))have posed new challenges in resource management system *** solutions tend to trade cluster efficiency for guaranteed application performance,e.g.,resource over-allocation,leaving a lot of resources *** this dilemma is not easy,because different components across the software stack are ***,massive efforts have been devoted to seeking effective performance isolation and highly efficient resource *** goal of this paper is to systematically cover related aspects to deliver the techniques from the coordination perspective,and to identify the corresponding trends they ***,four topics are ***,isolation mechanisms deployed at different levels(micro-architecture,system,and virtualization levels)are reviewed,including GPU multitasking ***,resource scheduling techniques within an individual machine and at the cluster level are investigated,***,GPU scheduling for deep learning applications is described in ***,adaptive resource management including the latest microservice-related research is thoroughly ***,future research directions are discussed in the light of advanced *** hope that this review paper will help researchers establish a global view of the landscape of resource management techniques in shared cloud,and see technology trends more clearly.

关键词： Coordination Co-location Heterogeneous computing microservice Resource scheduling techniques

Vertical Handover Decision for Mobile IoT Edge Gateway Using Multi-Criteria and Fuzzy Logic Techniques

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Advances in Internet of Things 2020年第4期10卷 57-93页

作者： Amit Singh Gaur Jyoti Budakoti Chung-Horng Lung Department of Systems and Computer Engineering Carleton University Ottawa Canada

Internet of Things (IoT) is ubiquitous, including objects or devices communicating through heterogenous wireless networks. One of the major challenges in mobile IoT is an efficient vertical handover decision (VHD) technique between heterogenous networks for seamless connectivity with constrained resources. The conventional VHD approach is mainly based on received signal strength (RSS). The approach is inefficient for vertical handover, since it always selects the target network with the strongest signal without taking into consideration of factors such as quality of service (QoS), cost, delay, etc. In this paper, we present a hybrid approach by integrating the multi-cri- teria based VHD (MCVHD) technique and an algorithm based on fuzzy logic for efficient VHD among Wi-Fi, Radio and Satellite networks. The MCVHD provides a lightweight solution that aims to achieving seamless connectivity for mobile IoT Edge Gateway over a set of heterogeneous networks. The proposed solution is evaluated in real time using a testbed containing real IoT devices. Further, the testbed is integrated with lightweight and efficient software techniques, e.g., microservices, containers, broker, and Edge/Cloud techniques. The experimental results show that the proposed approach is suitable for an IoT environment and it outperforms the conventional RSS Quality based VHD by minimizing handover failures, unnecessary handovers, handover time and cost of service.

关键词： Internet of Things (IoT) Handover Vertical Handover Decision (VHD) Tech-nique for Order Preference by Similarity to Ideal Solution (TOPSIS) Mul-ti-Criteria Based VHD (MCVHD) Containers microservice Edge Computing

Job Analysis System Based on Spark Platform

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Job Analysis System Based on Spark Platform