检索结果-内蒙古大学图书馆

11th IEEE Int Conf on Cloud Comp Technol and Sci (CloudCom) / 19th IEEE Int Conf Comp and Informat Technol (CIT) / 2019 Int Workshop on Resource Brokering with Blockchain (RBchain) / Asia-Pacific Serv Comp Conf (APSCC)

作者： Popa, Nicolae Marian Oprescu, Ana Media Distillery Amsterdam Netherlands Univ Amsterdam Informat Dept Amsterdam Netherlands

ISBN: (纸本)9781728150116

Modern applications are often implemented as distributed systems consisting of multiple application layers and spread across many machines. Monitoring and diagnosing are fundamental challenges of such systems, and many solutions have been proposed. They all aim to abstract the distributed nature and offer a concise overview of the system. distributed logging, monitoring and tracing solutions help with root cause analysis or assessing the performance of the system. In data processing situations, data is the main driver and it should be treated accordingly. Microservices are often used to implement highly distributed data processing systems, so troubleshooting from a data point of view is also difficult. Data should be monitored and traced across machines and applications in order to get reliable insights into how the data is stored and processed. However, existing approaches to distributed tracing are based on tracing requests that are propagated throughout the system instead on their content. In this work we take a data-centric perspective to tracing and data processing to investigate how content can be traced in a distributed system. We evaluate existing tracing approaches to see if they can be extended to the content itself, then we take into consideration new ones. We implement three different approaches to data-centric distributed tracing in a highly distributed data processing system built using microservices and discuss their advantages and disadvantages.

关键词： microservices distributed tracing observability instrumentation

来源：评论

学校读者我要写书评

暂无评论

Using distributed tracing to Identify Inefficient Resources Composition in Cloud Applications 10

Using Distributed Tracing to Identify Inefficient Resources ...

引用

10th IEEE International Conference on Cloud Networking (IEEE CloudNet)

作者： Casse, Clement Berthou, Pascal Owezarski, Philippe Josset, Sebastien Univ Toulouse LAAS CNRS CNRS Toulouse France Orange Toulouse France Univ Toulouse LAAS CNRS UPS Toulouse France

ISBN: (纸本)9781665435383

Cloud-Applications are the new industry standard way of designing Web-Applications. With Cloud Computing, Applications are usually designed as microservices, and developers can take advantage of thousands of such existing microservices, involving several hundred of cross-component communications on different physical resources. Microservices orchestration (as Kubernetes) is an automatic process, which manages each component lifecycle, and notably their allocation on the different resources of the cloud infrastructure. Whereas such automatic cloud technologies ease development and deployment, they nevertheless obscure debugging and performance analysis. In order to gain insight on the composition of services, distributed tracing recently emerged as a way to get the decomposition of the activity of each component within a cloud infrastructure. This paper aims at providing methodologies and tools (leveraging state-of-the-art tracing) for getting a wider view of application behaviours, especially focusing on application performance assessment. In this paper, we focus on using distributed traces and allocation information from microservices to model their dependencies as a hierarchical property graph. By applying graph rewriting operations, we managed to project and filter communications observed between microservices at higher abstraction layers like the machine nodes, the zones or regions. Finally, in this paper we propose an implementation of the model running on a microservices shopping application deployed on a Zonal Kubernetes cluster monitored by Open Telemetry traces. We propose using the flow hierarchy metric on the graph model to pinpoint cycles that reveal inefficient resource composition inducing possible performance issues and economic waste.

关键词： distributed tracing Cloud Computing Property Graph Graph Rewriting Hierarchical Model

来源：评论

学校读者我要写书评

暂无评论

Anomaly Detection and Classification using distributed tracing and Deep Learning 19

Anomaly Detection and Classification using Distributed Traci...

引用

19th Annual IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGRID)

作者： Nedelkoski, Sasho Cardoso, Jorge Kao, Odej TU Berlin Complex & Distributed IT Syst Grp Berlin Germany Huawei Technol Huawei Munich Res Ctr Munich Germany

ISBN: (纸本)9781728109121

Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to replace a broad range of IT Operations tasks including availability, performance, and monitoring of services. By exploiting log, tracing, metric, and network data, AIOps enable detection of faults and issues of services. The focus of this work is on detecting anomalies based on distributed tracing records that contain detailed information for the availability and the response time of the services. In large-scale distributed systems, where a service is deployed on heterogeneous hardware and has multiple scenarios of normal operation, it becomes challenging to detect such anomalous cases. We address the problem by proposing unsupervised, response time anomaly detection based on deep learning data modeling techniques;unsupervised dynamic error threshold approach;tolerance module for false positive reduction;and descriptive classification of the anomalies. The evaluation shows that the approach achieves high accuracy and solid performance in both, experimental testbed and large-scale production cloud.

关键词： AIOps anomaly detection service reliability time series distributed tracing autoencoders RNNs GRUs CNNs

来源：评论

学校读者我要写书评

暂无评论

Constructing a service process model based on distributed tracing for conformance checking of microservices

Constructing a service process model based on distributed tr...

引用

IEEE/IFIP Network Operations and Management Symposium

作者： Sakai, Masaru Takahashi, Kensuke NTT Corp NTT Network Innovat Ctr Tokyo Japan

ISBN: (纸本)9781665406017

In recent years, microservices architectures have become widespread, where services are divided into smaller pieces, communicate with each other, and operate in chains. distributed tracing, which tracks the processing of user requests, is used to analyze and visualize microservices. In this paper, the trace data obtained from the distributed tracing is divided based on the parent-child relationship and converted into an event log. In addition, process discovery is performed on each of the split event logs to estimate the relationships between microservice processes. Then, generate a normal Petri net model that can reproduce each event log. Finally, the test trace data is used to verify the suitability of the Petri net model. We constructed a service model for two sample microservices with different scales and distributed tracing implementations and demonstrated the proposed method's feasibility through conformance checking using test trace data.

关键词： distributed tracing Process Model Process Mining Petri nets Conformance Checking

来源：评论

学校读者我要写书评

暂无评论

Detecting Cyber Security Attacks against a Microservices Application using distributed tracing 7th

Detecting Cyber Security Attacks against a Microservices App...

引用

7th International Conference on Information Systems Security and Privacy (ICISSP)

作者： Jacob, Stephen Qiao, Yuansong Lee, Brian Athlone Inst Technol Dept Comp & Software Engn Dublin Rd Athlone Ireland

ISBN: (纸本)9789897584916

Microservices are emerging as the dominant software design architecture for many different applications, and cyber attacks are targeting more software organisations every day. Newer techniques for detecting cyber intrusions against such applications are in high demand. Application functionality that is executed within a microservices application can be monitored and logged using distributed tracing. distributed tracing is normally used for performance management of microservices applications. In this paper, we used distributed tracing for detecting cyber-security attacks. Each microservice call, or sequence of calls, executed in response to a request by an end user of the application is logged as a trace. Anomaly detection is a means of detecting irregular or unusual events or patterns in a data set that occur to a greater or a lesser degree than the majority of the data. In this paper, we present initial work that identifies anomalous distributions of traces. A frequency distribution of traces is obtained from normal data and traffic is identified as an anomaly candidate if it differs sufficiently from the base distribution. This approach is evaluated using a password guessing attack. In addition, we briefly discuss a NoSQL injection attack which we argue is difficult to detect using trace data.

关键词： Microservices Cyber Security distributed tracing Anomaly Detection

来源：评论

学校读者我要写书评

暂无评论

Real-Time Anomaly Detection Using distributed tracing in Microservice Cloud Applications 12

Real-Time Anomaly Detection Using Distributed Tracing in Mic...

引用

12th International Conference on Cloud Networking (CloudNet)

作者： Raeiszadeh, Mahsa Ebrahimzadeh, Amin Saleem, Ahsan Glitho, Roch H. Eker, Johan Mini, Raquel A. F. Concordia Univ CIISE Montreal PQ Canada Ericsson Res Lund Sweden Univ Western Cape Comp Sci Programme Cape Town South Africa

ISBN: (纸本)9798350313062;9798350313079

distributed tracing plays a vital role in microservice infrastructure, and learning-based trace analysis has been utilized to detect anomalies within such systems. However, existing approaches for learning-based trace-based anomaly detection face certain limitations. Some assume that trace patterns can be learned solely from normal executions, while others depend on anomaly injection to generate labeled traces categorized as normal or anomalous. However, in practical scenarios, anomalies may also happen during the normal execution. Moreover, a wide variety of anomalies may occur in practice, which cannot be captured solely through anomaly injection. To address these issues, we propose a Trace-Driven Anomaly Detection (TDAD) approach based on a Span Causal Graph (SCG) representation, which trains a model using a Graph Neural Network (GNN) and Positive and Unlabeled (PU) learning. This technique allows the model parameters to be optimized by estimating the underlying data distribution. As a result, TDAD can be effectively trained using a small number of labeled anomalous traces along with a relatively large number of unlabeled traces. Our evaluation reveals that TDAD outperforms not only the existing unsupervised trace-based anomaly detection methods by 11.9% in terms of F-1-score but also a supervised learning-based benchmark by 12x in terms of detection time.

关键词： Anomaly Detection distributed tracing Microservice Positive and Unlabeled Learning

来源：评论

学校读者我要写书评

暂无评论

Accelerating distributed tracing in Serverless Computing Using Differential tracing

Accelerating Distributed Tracing in Serverless Computing Usi...

引用

Coupling of Sensing & Computing in AIoT Systems (CSCAIoT)

作者： Yang, Yuhan Wei, Xingda Shanghai Jiao Tong Univ Shanghai Peoples R China

ISBN: (纸本)9798350363395;9798350363388

distributed tracing is a fundamental tool for analyzing the execution of applications that involve multiple devices, such as AIoT systems. Meanwhile, serverless computing is a promising edge-cloud cooperation scheme that offers improved resource and cost efficiency. However, the efficiency of distributed tracing in serverless computing is compromised due to the excessive traces generated by various system components. In this paper, we introduce Differential tracing, an efficient and accurate distributed tracing system specifically designed for serverless computing, which minimizes overhead of tracing while maintaining high accuracy.

关键词： distributed tracing Serverless Performance Monitoring

来源：评论

学校读者我要写书评

暂无评论

Network-Centric distributed tracing with DeepFlow: Troubleshooting Your Microservices in Zero Code 23

Network-Centric Distributed Tracing with DeepFlow: Troublesh...

引用

ACM SIGCOMM Conference (SIGCOMM)

作者： Shen, Junxian Zhang, Han Xiang, Yang Shi, Xingang Li, Xinrui Shen, Yunxi Zhang, Zijian Wu, Yongxiang Yin, Xia Wang, Jilong Xu, Mingwei Li, Yahui Yin, Jiping Song, Jianchang Li, Zhuofeng Nie, Runjie Tsinghua Univ Inst Network Sci & Cyberspace Beijing Peoples R China Yunshan Networks Beijing Peoples R China Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China Zhongguancun Lab Beijing Peoples R China

ISBN: (纸本)9798400702365

Microservices are becoming more complicated, posing new challenges for traditional performance monitoring solutions. On the one hand, the rapid evolution of microservices places a significant burden on the utilization and maintenance of existing distributed tracing frameworks. On the other hand, complex infrastructure increases the probability of network performance problems and creates more blind spots on the network side. In this paper, we present DeepFlow, a network-centric distributed tracing framework for troubleshooting microservices. DeepFlow provides out-of-the-box tracing via a network-centric tracing plane and implicit context propagation. In addition, it eliminates blind spots in network infrastructure, captures network metrics in a low-cost way, and enhances correlation between different components and layers. We demonstrate analytically and empirically that DeepFlow is capable of locating microservice performance anomalies with negligible overhead. DeepFlow has already identified over 71 critical performance anomalies for more than 26 companies and has been utilized by hundreds of individual developers. Our production evaluations demonstrate that DeepFlow is able to save users hours of instrumentation efforts and reduce troubleshooting time from several hours to just a few minutes.

关键词： distributed tracing Application Performance Monitoring Network Performance Monitoring eBPF

来源：评论

学校读者我要写书评

暂无评论

Service Mesh Based distributed tracing System 12

Service Mesh Based Distributed Tracing System

引用

12th International Conference on ICT Convergence (ICTC) - Beyond the Pandemic Era with ICT Convergence Innovation

作者： Cha, Donghun Kim, Younghan Soongsil Univ Sch Elect Engn Seoul South Korea

ISBN: (纸本)9781665423830

With the development of the latest technology, a flexible and efficient container-based cloud-native infrastructure that breaks away from the existing monolithic architecture is in the spotlight. As a result, the role of observability for visualization and fault detection of infrastructure has increased for the reliability of cloud-native infrastructures. distributed tracing, one of observability, is used as data useful for pinpointing request bottlenecks between services in a micro-service infrastructure However, in order to import distributed trace data from existing microservice environments, adding instrumentation libraries to service applications must be preceded Adding additional library makes difficult to expand or manage the service applications. In this paper, we propose a distributed tracing system that can be easily managed from the perspective of managers and developers by providing traces of services regardless of the structure or network interface of the service or infrastructure.

关键词： microservice architecture observability cloud-native distributed tracing container service mesh

来源：评论

学校读者我要写书评

暂无评论

An effective failure detection method for microservice-based systems using distributed tracing data

引用

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE 2024年 133卷

作者： Mazraemolla, Zahra Purfallah Rasoolzadegan, Abbas Ferdowsi Univ Mashhad Comp Engn Dept Software Qual Lab Mashhad Iran

Microservice architecture is the latest trend in the design and development of software systems based on modularization. In a microservice-based system, each microservice acts as an independent system;whereas, processing a request may require communication between two or more microservices. Therefore, increasing the complexity and size of microservice-based systems and increasing the communication between microservices increase the probability of runtime failures in such systems. On the other hand, failure detection in microservicebased systems faces challenges due to complex communications, frequent updates, dynamicity at runtime, and complex log management. In a microservice-based system, distributed tracing data is used to overcome the challenge of complex communication and dynamicity at runtime. distributed tracing data can be used to obtain call paths between microservices when responding to a request. The purpose of this study is to improve the performance of the process of failure detection in terms of increasing accuracy and reducing the false-positive rate to detect failure in the microservices' call paths using distributed tracing data. For this purpose, we selected a basic method among the existing failure detection methods, and according to the basic method, we designed a process in three phases. The process phases of the proposed method are 1) training and evaluating the failure detection model, 2) online failure detection, and 3) updating the failure detection model. The evaluation results of the proposed method show that with 98% Accuracy and a false-positive rate of 0.02, we achieved a significant improvement over the basic method.

关键词： Microservice architecture Failure detection distributed tracing Sequence -to -sequence multiclass classification

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：