检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

7,023 篇 会议
92 篇 期刊文献
52 册 图书

馆藏范围

7,167 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

3,956 篇 工学
- 3,404 篇 计算机科学与技术...
- 1,565 篇 信息与通信工程
- 1,421 篇 软件工程
- 1,053 篇 电气工程
- 243 篇 控制科学与工程
- 123 篇 电子科学与技术（可...
- 93 篇 网络空间安全
- 76 篇 动力工程及工程热...
- 74 篇 仪器科学与技术
- 64 篇 生物工程
- 52 篇 机械工程
- 35 篇 安全科学与工程
- 34 篇 建筑学
- 34 篇 土木工程
- 33 篇 测绘科学与技术
- 31 篇 生物医学工程（可授...
- 30 篇 交通运输工程
561 篇 管理学
- 411 篇 管理科学与工程(可...
- 187 篇 图书情报与档案管...
- 140 篇 工商管理
519 篇 理学
- 316 篇 数学
- 94 篇 物理学
- 73 篇 生物学
- 71 篇 系统科学
- 66 篇 统计学（可授理学、...
100 篇 法学
- 52 篇 社会学
- 49 篇 法学
65 篇 医学
- 37 篇 基础医学(可授医学...
- 33 篇 公共卫生与预防医...
42 篇 经济学
- 41 篇 应用经济学
26 篇 文学
22 篇 教育学
12 篇 农学
6 篇 军事学
2 篇 艺术学

主题

1,159 篇 distributed comp...
419 篇 software enginee...
363 篇 cloud computing
361 篇 artificial intel...
312 篇 computer archite...
306 篇 computer network...
274 篇 social networkin...
270 篇 protocols
247 篇 computer science
231 篇 computational mo...
221 篇 wireless sensor ...
210 篇 scalability
205 篇 peer to peer com...
204 篇 resource managem...
195 篇 routing
190 篇 bandwidth
189 篇 servers
188 篇 application soft...
180 篇 distributed data...
166 篇 grid computing

机构

110 篇 beijing univ pos...
88 篇 state key labora...
12 篇 department of co...
11 篇 college of compu...
10 篇 tsinghua univers...
10 篇 poznan supercomp...
10 篇 school of comput...
10 篇 department of co...
10 篇 beijing universi...
9 篇 inria
9 篇 beijing universi...
9 篇 research institu...
9 篇 rissho universit...
9 篇 tsinghua univ pe...
9 篇 institute of net...
9 篇 school of cyber ...
9 篇 institute of com...
8 篇 georgia inst tec...
8 篇 department of co...
8 篇 institute of net...

作者

25 篇 yang yang
16 篇 huang lican
16 篇 lican huang
14 篇 wehrle klaus
13 篇 gao zhipeng
12 篇 dustdar schahram
12 篇 buyya rajkumar
12 篇 rothermel kurt
11 篇 duerr frank
11 篇 wu jan-jan
11 篇 rajkumar buyya
11 篇 wang wei
11 篇 liu pangfeng
11 篇 teruhisa hochin
11 篇 qi qi
10 篇 ming chen
10 篇 hoefler torsten
10 篇 m. takizawa
10 篇 cheng shiduan
10 篇 schahram dustdar

语言

7,085 篇 英文
46 篇 中文
38 篇 其他

检索条件"任意字段=International Conference on Networking and Distributed Computing"

共 7167 条记录，以下是121-130 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Optimizing Stateful Microservice Migration in Kubernetes with MS2M and Forensic Checkpointing

Optimizing Stateful Microservice Migration in Kubernetes wit...

引用

international conference on Intelligence in Next Generation Networks (ICIN)

作者： Hai Dinh-Tuan Jialun Jiang Service-Centric Networking Technische Universität Berlin Berlin Germany Technische Universität Berlin Berlin Germany

ISBN: (数字)9798331542399

ISBN: (纸本)9798331542405

The widespread adoption of microservices architecture in modern software systems has emphasized the need for efficient management of distributed services. While stateless mi-croservices enable straightforward migration, stateful microser-vices introduce added complexity due to the need to preserve in-memory state during migration. However, most container orchestrators, including Kubernetes, lack native support for live stateful service migration. This paper proposes an optimized migration scheme for stateful services in Kubernetes by integrating the Message-based Stateful Microservice Migration (MS2M) framework with Kubernetes' Forensic Container Checkpointing (FCC) feature. Key enhancements include support for migrating StatefulSet-managed Pods and the introduction of a Threshold-Based Cutoff Mechanism to handle high incoming message rates. Evaluation results demonstrate that MS2M for individual Pods reduces downtime by 96.986% compared to cold migration methods, while the StatefulSet approach provides greater flexibility in managing stateful services. These insights provide practical strategies for optimizing stateful microservice migration in cloud-native environments.

关键词： Checkpointing Cloud computing Technological innovation Forensics Microservice architectures FCC Computer architecture Containers Software systems Complexity theory

来源：评论

学校读者我要写书评

暂无评论

AI-Enhanced Anomaly Detection in Software-Defined Networks

AI-Enhanced Anomaly Detection in Software-Defined Networks

引用

Advanced computing Technologies (ICoACT), international conference on

作者： J. S. Prasath Shaik Javed Parvez Anitha Govindaram T. Anuradha Jose Anand A N. Rajkumar Department of Computer Science and Engineering Sapthagiri NPS University Chikkasandra Bengaluru Karnataka Department of CSE Malla Reddy Engineering College (A) Hyderabad Telangana Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences (SIMATS) Chennai India Department of Electrical and Electronics Engineering KCG College of Technology Tamil Nadu India Department of ECE KCG College of Technology Karapakkam Chennai Tamil Nadu India Department of CSE Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Tamil Nadu

ISBN: (数字)9798331509859

ISBN: (纸本)9798331509866

The advent of Software-Defined Networks (SDN) introduces centralized management, enabling scalability to support a significantly larger number of devices than traditional networks. However, this scalability generates extensive monitoring data, necessitating advanced analysis techniques. This research focuses on utilizing Artificial Intelligence (AI) in the SDN paradigm to enhance anomaly detection. A systematic literature review identified current challenges and opportunities in this domain. Based on these insights, a reference architecture was developed, integrating advanced features such as dynamic sliding windows for training optimization, a standardized ubiquitous data model, and separation of concerns (SoC) leveraging industry-standard frameworks like eTOM and SID. The architecture emphasizes interpretability through explainable AI (XAI), scalability via microservices, and resilience with a distributed SDN controller. Adversarial sample generation was incorporated to strengthen anomaly detection models. A proof of concept validated the architecture's feasibility, demonstrating successful anomaly detection and remediation across varying business scenarios. This study highlights the adaptability of AI models for specific anomaly types and underscores the potential of this architecture in automating large-scale network management, enhancing security, and increasing resilience.

关键词： Training Adaptation models Explainable AI Scalability Computer architecture Security Software defined networking Anomaly detection Monitoring Resilience

来源：评论

学校读者我要写书评

暂无评论

international conference and Exhibition on High-Performance computing and networking, HPCN 1994

International Conference and Exhibition on High-Performance ...

引用

international conference and Exhibition on High-Performance computing and networking, HPCN 1994

ISBN: (纸本)9783540579816

The proceedings contain 161 papers. The special focus in this conference is on High-Performance computing and networking. The topics include: High performance computing and networking for numerical weather prediction;high performance computing and networking as base element of the environmental information system UIS of Baden-Württemberg;high speed networking for the research community in Europe;parallel knowledge processing in open networks;distributed file caching in parallel architectures utilizing high speed networks;application fundamentals of distributed, high-performance computing and networking systems;networking perspectives for collaborative supercomputing in European aerospace research and industry;future aerospace working scenarios using high speed networks and supercomputers applied to flow simulation for complete aircraft;a software environment for cooperative simulation and visualization in the aerospace field;implementation of visualization tools in a distributed environment;European HPC competitiveness centres for industry;an open high-performance computing infrastructure in industry;a catalog of classifying characteristics for massively parallel computers;building a parallel computing environment from heterogenous resources;a distributed computing center software for the efficient use of parallel computer systems;cluster management software for open object oriented systems;transmission rates and performance of a network of computers;evaluation of parallel operating systems;recent developments in hybrid cg methods;the preconditioned conjugate gradient method on distributed memory systems;communication cost reduction for krylov methods on parallel computers and optimisations for the memory hierarchy of a singular value decomposition algorithm implemented on the MIMD architecture.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings. The 10th international conference on distributed computing Systems Proceedings of the 10th international conference on distributed computing Systems - ICDCS-10

Proceedings. The 10th International Conference on Distribute...

引用

Proceedings of the 10th international conference on distributed computing Systems - ICDCS-10

This conference proceedings contains 69 papers. The following topics are dealt with: models of distributed computation;distributed shared memory;real-time systems;analysis by transformation;abstractions for distributed processing;distributed operating systems;fault tolerance;efficient file access;protocols;interconnection structures for multi-processing;concurrency and transactions;algorithms;multiprocessor architectures;replication network operation and control;distributed file systems;language support;performance improvement and monitoring;scheduling and assignment;networking;load balancing;and distributed applications.

关键词： Computer Systems, Digital

来源：评论

学校读者我要写书评

暂无评论

Proceedings of EduHPC 2019: Workshop on Education for High Performance computing - Held in conjunction with SC 2019: The international conference for High Performance computing, networking, Storage and Analysis

Proceedings of EduHPC 2019: Workshop on Education for High P...

引用

2019 Workshop on Education for High Performance computing, EduHPC 2019

ISBN: (纸本)9781728159751

The proceedings contain 10 papers. The topics discussed include: teaching parallel and distributed computing concepts in simulation with WRENCH;assessing the integration of parallel and distributed computing in early undergraduate computer science curriculum using unplugged activities;successful systems in production graduate teaching;teaching concurrent and distributed programming with concepts over mathematical proofs;toward improving collaborative behaviour during competitive programming assignments;and teaching on demand: an HPC experience.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Big Data Clustering Algorithms: Improving Efficiency and Scalability for Massive Data Mining and Pattern Recognition

Big Data Clustering Algorithms: Improving Efficiency and Sca...

引用

Pervasive Computational Technologies (ICPCT), international conference on

作者： Shanmugam Muthu G Ramesh Kalyan V. Samuthira Pandi Shobana D Lakshmi Priya J Jaishika S Shipt Inc Birmingham USA Department of Computer Science and Engineering SNS College of Technology Coimbatore Tamilnadu India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Mechatronics Engineering Rajalakshmi Engineering College Chennai Department of ECE Saveetha Engineering College Chennai Department of Computer Science and Engineering Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College

ISBN: (数字)9798331508685

ISBN: (纸本)9798331519476

The emergence of big data has completely changed the way data analysis is done. As a result, there is a pressing need for effective clustering algorithms that can handle large datasets from different fields. Efficiency, scalability, and finding meaningful patterns in enormous data are some of the important difficulties that this research tackles in relation to big data clustering. We thoroughly examine and evaluate a range of clustering algorithms, from more conventional ones like hierarchical and K-Means clustering to more cutting-edge ones like density-based spatial clustering (DBSCAN) and model-based clustering. To further improve the performance and scalability of clustering algorithms, we investigate new methods that make use of distributed computing frameworks like Apache Spark and MapReduce. We offer a thorough assessment of their efficacy in terms of clustering quality, computational efficiency, and resource use by using and evaluating these methods on large-scale datasets. While conventional clustering algorithms may fail miserably when faced with extremely big data sets, our research shows that newer methods that make use of optimization techniques and distributed processing greatly outperform their predecessors. The effect of feature selection and dimensionality reduction techniques on improving clustering results is also shown. By shedding light on how to choose and implement clustering algorithms for effective data mining and pattern identification, this study adds to the continuing endeavors in the domain of big data analytics. Progress in areas like customer segmentation, anomaly detection, and social network analysis can be achieved with the help of adaptive algorithms that can handle large datasets while keeping clustering results accurate and dependable, according to the study.

关键词： Dimensionality reduction Machine learning algorithms Accuracy Social networking (online) Scalability Heuristic algorithms Clustering algorithms Adaptive algorithms Big Data Computational efficiency

来源：评论

学校读者我要写书评

暂无评论

2006 international conference on Collaborative computing: networking, Applications and Worksharing, CollaborateCom

2006 International Conference on Collaborative Computing: Ne...

引用

2006 international conference on Collaborative computing: networking, Applications and Worksharing, CollaborateCom

The proceedings contain 75 papers. The topics discussed include: a collaborative approach to stochastic load balancing with networked queues of autonomous service clusters;a guide to map application components to support multi-user real-time collaboration;towards interoperability in collaborative environments;joint degrees in e-learning systems: a web services approach;link-based ranking of the web with source-centric collaboration;a web collaboration architecture;an empirical study of distributed technologies used in collaborative tasks at Statoil ASA;how to fit in another meeting;supporting distributed collaborative work in manufacturing industry;increasing awareness in collaborative authoring through edit profiling;NNexus: towards an automatic linker for a massively-distributed collaborative corpus;secure and private collaborative linear programming;and teaching students how to work in global software development environments.

关键词： Learning systems

来源：评论

学校读者我要写书评

暂无评论

Multi-Agent Systems for Autonomous IoT Network Management Using distributed Reinforcement Learning

Multi-Agent Systems for Autonomous IoT Network Management Us...

引用

international Symposium on Advanced computing and Communication (ISACC)

作者： Neelamegam G Rajaram Venkatesan Ramya SR R.S. Ramya Akshya. J M. Sundarrajan Mani Deepak Choudhry Department of Computer Science and Engineering VSB College of Engineering and Technology Coimbatore Tamil Nadu India Department of Artificial Intelligence and Data Science Builders Engineering College Tirupur Tamil Nadu India Department of Computer Science and Engineering Dr NGP Institute of Technology Coimbatore Tamil Nadu India Department of Computer Science and Engineering Sri Ramakrishna Engineering College Coimbatore Tamil Nadu India Department of Computational Intelligence SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Networking and Communications SRM Institute of Science and Technology Chennai Tamil Nadu India Department of Computing Technologies SRM Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

The ever-growing complexity of IoT networks ignited by their wide scale adoption in applications such as smart cities, the industrial automation, and health care, compelled to develop sophisticated yet resource efficient and scalable network management solution. Centralized systems are traditional in architecture, which leads to higher latency and bottlenecks, while decentralized systems can distribute workloads however the lack of adaptability to real time, along with the difficulty of extracting maximum resource usage, are limitations. In recent years, reinforcement learning (RL) based approaches have taken shape as a promising alternative to facilitate the automated learning and optimisation of task management. However, there are two challenges for existing RL based methods: slow convergence, inefficient priority assignment of tasks, and poor coordination amongst agents in the case of dynamic, large scale IoT environment. To solve these challenges, in this research we propose a distributed reinforcement learning based multi agent framework for managing IoT network. The framework also integrates a task prioritization mechanism to dynamically choose an optimal task allocation solution. Further validation was performed in a simulated IoT environment where real world inspired datasets were used. The proposed framework demonstrated 30% more task throughput than centralized, 25% less latency than decentralized, and 40% more energy efficiency than current RL based systems. The system was further validated using advanced visualizations such as anomaly detection maps and resource allocation efficiency graphs, demonstrating its capacity to manage dynamic load of tasks and resource allocation. The proposed framework addresses the critical limitations of current methods, through scalable, adaptive, and energy efficient framework for managing IoT network, and accordingly helps advancing the intelligent and autonomous IoT systems.

关键词： Smart cities Reinforcement learning Medical services Throughput Dynamic scheduling Energy efficiency Real-time systems Resource management Optimization Multi-agent systems

来源：评论

学校读者我要写书评

暂无评论

Proceedings of DISCS 2014: The 2014 international Workshop on Data-Intensive Scalable computing Systems - Held in Conjuction with SC 2014: The international conference for High Performance computing, networking, Storage and Analysis

Proceedings of DISCS 2014: The 2014 International Workshop o...

引用

2014 international Workshop on Data-Intensive Scalable computing Systems, DISCS 2014 - Held in Conjuction with the international conference for High Performance computing, networking, Storage and Analysis, SC 2014

ISBN: (纸本)9781479970384

The proceedings contain 10 papers. The topics discussed include: Par-BF: a parallel partitioned bloom filter for dynamic data sets;dispel4py: a python framework for data-intensive scientific computing;efficient, failure resilient transactions for parallel and distributed computing;BPAR: a bundle-based parallel aggregation framework for decoupled I/O execution;rethinking key-value store for parallel I/O optimization;PSA: a performance and space-aware data layout scheme for hybrid parallel file systems;distributed multipath routing algorithm for data center networks;CULZSS-Bit: a bit-vector algorithm for lossless data compression on GPGPUs;a caching approach to reduce communication in graph search algorithms;and mapping of RAID controller performance data to the job history on large computing systems.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Proceedings of the Twelfth Annual international conference on Mobile computing and networking, MOBICOM 2006

Proceedings of the Twelfth Annual International Conference o...

引用

12th Annual international conference on Mobile computing and networking, MOBICOM 2006

ISBN: (纸本)1595932860

The proceedings contain 36 papers. The topics discussed include: mobile broadband evolution: from controversy to convergence;computationally efficient scheduling with the physical interference model for throughput improvement in wireless mesh networks;a coordinate-based approach for exploiting temporal-spatial diversity in wireless mesh networks;enabling distributed throughput maximization in wireless mesh networks - a partitioning approach;an accurate measurement of link quality in multi-hop wireless mesh networks;analysis and implications of student contact patterns derived from campus schedules;stochastic event capture using mobile sensors subject to a quality metric;localization in sparse networks using sweeps;boundary recognition in sensor networks by topological methods;robust rate adaptation for 802.11 wireless networks;and distributed channel management in uncoordinated wireless environments.

关键词： Mobile computing

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共500页 << < 9 10 11 12 13 14 15 16 17 18 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：