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

1,380 篇 会议
11 册 图书
10 篇 期刊文献

馆藏范围

1,401 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

937 篇 工学
- 795 篇 计算机科学与技术...
- 463 篇 软件工程
- 183 篇 电气工程
- 109 篇 信息与通信工程
- 109 篇 控制科学与工程
- 89 篇 动力工程及工程热...
- 53 篇 机械工程
- 49 篇 电子科学与技术（可...
- 45 篇 环境科学与工程（可...
- 43 篇 生物工程
- 29 篇 仪器科学与技术
- 21 篇 石油与天然气工程
- 21 篇 网络空间安全
- 19 篇 力学（可授工学、理...
- 19 篇 建筑学
- 19 篇 安全科学与工程
- 18 篇 材料科学与工程（可...
- 16 篇 土木工程
275 篇 管理学
- 227 篇 管理科学与工程(可...
- 96 篇 工商管理
- 70 篇 图书情报与档案管...
262 篇 理学
- 156 篇 数学
- 47 篇 生物学
- 35 篇 系统科学
- 33 篇 物理学
- 30 篇 大气科学
- 26 篇 统计学（可授理学、...
32 篇 经济学
- 31 篇 应用经济学
32 篇 法学
- 22 篇 社会学
19 篇 医学
- 18 篇 临床医学
11 篇 教育学
8 篇 农学
5 篇 文学
4 篇 军事学
1 篇 艺术学

主题

248 篇 cloud computing
85 篇 grid computing
50 篇 computational mo...
48 篇 distributed comp...
36 篇 servers
34 篇 parallel computi...
32 篇 quality of servi...
31 篇 resource managem...
30 篇 computer archite...
30 篇 distributed data...
29 篇 big data
23 篇 protocols
22 篇 security
19 篇 monitoring
19 篇 fog computing
18 篇 internet of thin...
18 篇 reliability
18 篇 parallel process...
18 篇 scalability
18 篇 processor schedu...

机构

6 篇 china electric p...
6 篇 the islamic univ...
6 篇 department of co...
6 篇 galgotias univer...
6 篇 school of softwa...
5 篇 school of comput...
4 篇 school of electr...
4 篇 state grid energ...
4 篇 department of la...
4 篇 school of electr...
4 篇 school of inform...
4 篇 chitkara univers...
4 篇 school of comput...
4 篇 guangdong engine...
4 篇 chitkara univers...
4 篇 department of co...
3 篇 russian acad sci...
3 篇 department of el...
3 篇 college of mathe...
3 篇 school of electr...

作者

6 篇 rong chunming
5 篇 sukumar nandi
5 篇 hui liu
5 篇 liu hui
5 篇 pabitra mohan kh...
4 篇 zhangxin chen
4 篇 awadhesh kumar s...
4 篇 fatos xhafa
3 篇 mo zeyao
3 篇 yang bo
3 篇 akash punhani
3 篇 jiapeng xiu
3 篇 li zheng
3 篇 kumari k. aruna
3 篇 kun wang
3 篇 kawata shigeo
3 篇 xhafa fatos
3 篇 abramson david
3 篇 yidong cui
3 篇 cristea valentin

语言

1,372 篇 英文
16 篇 其他
15 篇 中文

检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

共 1401 条记录，以下是1321-1330 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：

Optimal task scheduler for multi-core processor

Optimal task scheduler for multi-core processor

引用

international conference on Software Technology and engineering (ICSTE)

作者： Vinay G. Vaidya Sudhakar Sah Priti Ranadive Center of Research in Engineering Sciences and Technology KPIT Cummins Infosystems Limited Pune Maharashtra India

With the advent of multi-core processors, parallel execution of multiple tasks has become a common practice. Various scheduling algorithms have addressed this issue considering multiprocessor systems. Most of these algorithms target application level parallelism. Task level parallelism within an application can be exploited using shared memory architecture such as multi-core processor or in a distributed computing environment. In this paper, we propose a static scheduling algorithm that generates a schedule that can be optimized for one or all parameters including execution time, number of processors, and efficiency of processors. The input to this scheduler is a task dependency matrix is generated using dependency analysis technique. Efficiency of this scheduler is high because it uses multiple parameters such as task wait time, number of tasks whose dependency gets resolved by scheduling a task, and task execution time. The paper concludes with an example of applying this technique to a set of tasks.

关键词： Program processors Hardware Fires

来源：评论

学校读者我要写书评

暂无评论

A Framework for Big Data Security Using MapReduce in IoT Enabled computing

A Framework for Big Data Security Using MapReduce in IoT Ena...

引用

Device Intelligence, computing and Communication Technologies, (DICCT), international conference on

作者： Kartikay Kala Kartik Makhloga Anayat Khan Aishwarya Pandey Saksham Mittal Computer Science & Engineering Graphic Era Hill University Dehradun India

ISBN: (数字)9798350372847

ISBN: (纸本)9798350372854

With the increase in number of IoT devices day by day, a large amount of unstructured, structured and semi-structured data is being generated, collectively termed as big data. The amount of data stored and processed in the cloud is increasing at a rapid pace. The traditional storage devices cannot meet the requirement of the cloud at both hardware and software levels. There is a need for a mechanism which can handle this issue. Hadoop is a platform which can overcome this big data issue. Hadoop uses HDFS and Map Reduce to process large quantity of data in the cloud system. It is also essential to ensure big data security generated by IoT devices and only the authorized users can access the data. Therefore, this research aims to secure big data using RSA. MapReduce is used to process and encrypt big data as it helps in parallel processing of the data in few seconds. This research paper presents a comparative study focused on the encryption time performance in Hadoop, specifically examining the impact of increasing mappers on the overall encryption process.

关键词： Performance evaluation Scalability Systems architecture Big Data parallel processing Market research Software

来源：评论

学校读者我要写书评

暂无评论

Multi-cloud Environments With Quantum cloud computing for Secure Data Transfer using Two-Tier Homomorphic Encryption

Multi-Cloud Environments With Quantum Cloud Computing for Se...

引用

Sustainable computing and Smart Systems (ICSCSS), international conference on

作者： Manish Chhabra Rajesh E School of Computing Science and Engineering Galgotias University Greater Noida India

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

Nowadays, data transfer has been vast online and on social media. Hence data security in the various cloud environments has been enabled to send and receive data. While transferring the data, some issues in the cloud environment are the lack of connectivity, control, and the insecurity of the password and the data. To handle this problem, data security and the internet connection have to be enabled for the cloud environments. The method of homomorphic encryption and the transport layer security protocol have been enabled for the analysis. The homomorphic encryption method converts the data to the ciphertext for making the text in the original format. Then the transport layer security protocol is used to authenticate the data, and the data integrity of the communication can be executed. The proposed system performs better than current protocols like Dynamic Level Based Integrity Checking Protocol, TLS protocol, and Lightweight Cryptosystem, making it a potential option for jobs involving safe and effective cloud information processing. Overall, the proposed Two-tier Homomorphic Encryption system exhibits improved execution time, security strength, resource utilization, communication overhead, and user satisfaction. It addresses issues such as connectivity gaps, control deficiencies, and password and data insecurity, making it an effective method for boosting cloud security in quantum cloud computing environments.

关键词： Protocols Quantum computing cloud computing security distributed databases Passwords Information processing Data transfer

来源：评论

学校读者我要写书评

暂无评论

Research and Implementation of a grid-Source Coordination Management Platform Based on Dispatching and Control cloud

Research and Implementation of a Grid-Source Coordination Ma...

引用

Digital Twins and parallel Intelligence (DTPI), IEEE international conference on

作者： Lina Lu Chao Sun Tianyu Wang Jiali Wu Kaifeng Zhang Zirui Huang Hangzhou Dianzi University Information Engineering School Hangzhou China Guodian Nanjing Automation Co. Ltd. Nanjing China State Grid Zhejiang Electric Power Research Institute Hangzhou China China Ship Dvelopment and Design Center Wuhan China School of Automation Southeast University Hangzhou China

ISBN: (数字)9781665492270

ISBN: (纸本)9781665492287

Ultra-high voltage alternating current and direct current transmission in Zhejiang Province has experienced a rapid development in recent years., which poses a great challenge to the management of grid and source coordination. In this paper., an effective grid and source coordination management platform based on dispatching and control cloud is established to achieve the management and deepening utilization of grid and source coordination data., contributing to the operational safety of the Zhejiang power grid. Meanwhile., the information sharing of the provincial dispatching center and unified power plants can be realized through the platform., which can improve the efficiency of the grid and source coordination management. Several ultrahigh voltage grid DC blocking faults in the Zhejiang power grid were analyzed. The results show that the primary frequency regulation capacity of the Zhejiang power grid has been significantly improved after the effective strategies in the platform were implemented.

关键词： Power quality Power system stability Solids Power grids Dispatching Stability analysis Smart grids

来源：评论

学校读者我要写书评

暂无评论

Optimizing Virtual Machine Live Migration without Shared Storage in Hybrid clouds

Optimizing Virtual Machine Live Migration without Shared Sto...

引用

IEEE international conference on High Performance computing and Communications

作者： Shan He Chunming Hu Bin Shi Tianyu Wo Bo Li State Key Laboratory of Software Development Environment (NLSDE) School of Computer Science and Engineering Beihang University Beijing China 100191

ISBN: (纸本)9781509042982

Virtual machine live migration technology allows a running VM migrates from one physical host to another with no impact on users. As the scale of distributed computing gets larger and larger, hybrid cloud, which is integrated cloud service utilizing both private and public clouds to perform distinct functions within the same organization becomes a hotspot for both academia and industry. Thus, it will be vital to migrate virtual machines in hybrid clouds. The biggest issue which VM migration in hybrid clouds faces today is how to transfer the large amount of storage data. Storage migration of virtual machine with existing mechanisms of memory migration has been studied for a long time. Unfortunately, no one can perform perfectly without modification. It is compelling to consider a new migration model and optimization methods. In this paper, we analyze the advantage and disadvantage of classical methods, and put forward a method which combines the strengths of pre-copy and post-copy migration model and we also use disk working set to optimize virtual machines storage migration. We have developed and implemented our approach to the QEMU/KVM hypervisor and run a series of experiments. The presented technique shows a reduction of up 20.5% on average of the total transfer time for most of the selected scenario. Our approach can also reduce the migration downtime in most cases.

关键词： working set virtual machine live migration storage

来源：评论

学校读者我要写书评

暂无评论

Load Balancing in cloud-based Flow Security System

Load Balancing in Cloud-based Flow Security System

引用

2017 2nd international conference on Advanced Materials Science and Environment engineering(AMSEE2017)

作者： Gang HE Yue-jian XIAO Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications

In the context of load balancing [1], Lu et al. proposed a novel class of algorithms called Join-Idle-Queue(JIQ) for distributed load balancing in large systems, where a group of dispatchers distribute jobs to a cluster of parallel servers. Each dispatcher maintains a queue called Idle-Queue for idle servers. When a job arrives to a dispatcher at random, the dispatcher sends it to a server which in the head of the Idle-Queue, or to a random server if the Idle-Queue is empty. Meanwhile conversely,when a server has no jobs, it actively requests to be placed on an Idle-Queue. Although this algorithm was shown to be quite effective [2,3], it is defective in some respects. This paper presents several new improvements, which makes the algorithm more effective, especially in cloud-based Flow Security System(CFS). These improvements focus primarily on these aspects, such as the definition of idle server, data concurrency while choosing an Idle-Queue, etc. The experimental results show that the improved load balancing algorithm can improve the utilization of resources in a certain extent.

关键词： cloud computing Load balancing Join-Idle-Queue algorithm Randomized algorithm

来源：评论

学校读者我要写书评

暂无评论

Low Latency Consistency based Protocol for Fog computing Systems using CoAP with Machine Learning

Low Latency Consistency based Protocol for Fog Computing Sys...

引用

Innovation in Technology (INOCON), IEEE international conference for

作者： Surbhi Jha Divya Tripathy Department of CSE Noida Institute of Engineering and Technology Greater Noida Uttar Pradesh India Department of Bio-Sciences Galgotias University Greater Noida Uttar Pradesh India

In a distributed system, fog computing (FC) is an emerging computer technique. The goal of FC is to position cloud-based services in close proximity to endpoints. The method is meant to meet the minimal latency requirement for Iot - based healthcare equipment. There is a wide range of healthcare data volumes produced by Iot - based healthcare equipment. Network congestion and increased delay are the direct effects of this massive influx of data. Patient information is rendered useless and insufficient for end-users when round-trip time delays rise due to huge data transfer and increasing hop counts between IoTs and cloud servers. In the healthcare industry, real-time data is essential for time-sensitive applications. The medical IoT devices and their users have stringent requirements for latency, and traditional cloud servers just can’t provide them. Therefore, it is important to decrease network delay, compute latency, and communications latency while transmitting data through the Internet of Things. FC allows data to be stored, processed, and analyzed in the cloud and at the network’s edge, where the latency is lower. This article proposes an innovative approach to solving the aforementioned issue. It combines an FC-based analytical model with a hybrid fuzzy-based RL algorithm. High latency in healthcare IoTs, between users and cloud servers, is something that has to be mitigated. Allocation and selection of data packets in an IoT-FC setting are handled with the help of a fuzzy inference system, reinforcement learning, and neural network evolution techniques provided by the suggested smart FC model parameters and algorithms. The method is put through its paces on the iFogSim (Net-Beans) as well as Spyder simulations (Python). The acquired findings demonstrated that the suggested strategy outperformed the state-of-the-art techniques.

关键词： cloud computing Analytical models Computational modeling Medical services Reinforcement learning Inference algorithms Delays

来源：评论

学校读者我要写书评

暂无评论

A Secured Multiple Party Key Agreement Protocol Design Over cloud computing Platform by Using Statistical Data Analysis Logic

A Secured Multiple Party Key Agreement Protocol Design Over ...

引用

Sustainable computing and Smart Systems (ICSCSS), international conference on

作者： Allam Balaram Sajja Suneel P.M. Kavitha Achinta Saikia S. Gopi Y Dileep Kumar Department of Computer Science and Engineering MLR Institute of Technology Hyderabad Department of CSE(Data Science) Institute of Aeronautical Engineering Dundigal Hyderabad Telangana India Department of Computer Science and Applications SRM Institute of Science And Technology Ramapuram Chennai-89 Department of Statistics Mariani College Mariani Jorhat Assam Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi Chennai Department of ECE School of Engineering Mohan Babu University Tirupati

ISBN: (数字)9798350379990

ISBN: (纸本)9798350391558

In the field of cloud computing, ensuring secure and efficient key agreement among multiple parties has emerged as a paramount challenge. Traditional key agreement protocols often rely on central authorities or trusted third parties, posing significant security and privacy concerns. To address these challenges, this paper introduces a novel key agreement protocol designed specifically for cloud computing platforms, emphasizing security, efficiency, and resilience without depending on a trusted third party. The proposed protocol innovatively combines distributed Key Generation (DKG) with a Dynamic Consensus Mechanism, Zero-Knowledge Proof (ZKP) based authentication, and a Multi-cloud Redundancy approach, offering a comprehensive solution to secure multi-party communication in distributed cloud environments. The DKG protocol facilitates the collaborative generation of a shared secret among participants, significantly enhancing security by eliminating single points of failure. The proposed Dynamic Consensus Mechanism ensures the integrity and finality of key agreement transactions on a blockchain-based ledger, adapting to network conditions and participant trust levels to optimize performance without compromising security. ZKP-based authentication allows participants to verify their identities without revealing sensitive information, preserving privacy and thwarting impersonation attacks. Lastly, the Multi-cloud Redundancy strategy enhances the protocol's resilience to cloud-specific vulnerabilities and service outages, ensuring high availability and robustness.

关键词： cloud computing Privacy Redundancy Authentication Impersonation attacks Robustness Consensus protocol

来源：评论

学校读者我要写书评

暂无评论

Fast Image Segmentation and Animation Generation Algorithm Based on Depth Image Sequence

Fast Image Segmentation and Animation Generation Algorithm B...

引用

Networking, Communications and Information Technology (NetCIT), international conference on

作者： Zhigan Liang Software Engineering Institute of Guangzhou Guangzhou Guangdong China

In this paper a continuous automatic segmentation method for color sequence slice images of Chinese virtual human is proposed. Its main idea is based on region growing algorithm, and animation is a new algorithm for segmenting moving target images from complex background by using sequence images. Firstly, the animation uses Markov random field (MRF) model and continuoushneprocess to establish a more accurate animation objective function, and uses parallel computing method to calculate the velocity field. Then, based on this, the parallel segmentation of the target animation is realized. Depth image fitting or depth image segmentation is to divide point cloud data with the same geometric features into the same area and perform surface fitting. There are two main methods for deep motion image segmentation: one is based on edge segmentation, and the other is based on region growing. Due to the characteristics of the depth image acquisition method, the point cloud data is often discontinuous and contains more noise. Using the edge based segmentation algorithm, the boundary point segmentation can be effectively realized only when the processed point cloud data has animation continuity and less noise points. In this paper, a method of animation parameter optimization calculation based on depth image sequence is proposed. According to the depth image sequence under different attitudes, the optimization function of animation parameters and attitude parameters is designed, and the deformation results under different attitudes are comprehensively considered. By alternately optimizing the animation parameters and attitude parameters, the animation parameters are output until the objective function converges.

关键词： Point cloud compression Image segmentation Motion segmentation Computational modeling Image edge detection Animation Linear programming

来源：评论

学校读者我要写书评

暂无评论

Multi-Task Scheduling Method for Information Security of Heterogeneous Big Data Networks Based on Artificial Intelligence Technology

Multi-Task Scheduling Method for Information Security of Het...

引用

Sensors, Electronics and Computer engineering (ICSECE), IEEE international conference on

作者： Yiping Chen Yingzi Zheng Department of Computer Science and Engineering Guangzhou Institute of Science and Technology Guangzhou China

ISBN: (数字)9798350373646

ISBN: (纸本)9798350373653

Multi-task scheduling of heterogeneous big data network information is proposed to improve the optimal configuration and application ability of network big data resources. A multi-task scheduling method of heterogeneous big data network information security based on artificial intelligence technology is proposed. A distributed storage and transmission structure model of heterogeneous big data is established under the task scheduling framework of cloud computing, and the heterogeneous mapping relationship is described according to the task submitted by users and the network information distribution between virtual machines. This paper establishes a scheduling channel between virtual machines and hosts, reasonably places and migrates heterogeneous big data network information to suitable hosts through artificial intelligence technology, and realizes reasonable allocation of computing resources and multi-task scheduling by using weighted polling scheduling method, so as to realize load-balanced scheduling of heterogeneous network information. The simulation results show that this method has good load balance in information task scheduling of heterogeneous big data networks, and the scheduling method has excellent global search and parallel search capabilities, which can adapt to large-scale information optimization of heterogeneous big data networks.

关键词： Processor scheduling Simulation Information security Big Data Multitasking Data models Resource management Artificial intelligence Optimization Load modeling

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141页 << < 129 130 131 132 133 134 135 136 137 138 > >>

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：