Knee Point-Driven Bottleneck Detection Algorithm for Cloud Service System

2016 ◽  
pp. 102-111 ◽  
Author(s):  
Xiao-Long Liu ◽  
Xue-Bai Zhang ◽  
Hsiang Chao ◽  
Shyan-Ming Yuan
Keyword(s):  
Service System ◽  
Cloud Service ◽  
Detection Algorithm ◽  
Bottleneck Detection ◽  
Knee Point

scholarly journals Robot Identification and Authentication in a Robot Cloud Service System

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 56488-56503 ◽  
Author(s):  
Chin-Ling Chen ◽  
Yan-Ting Li ◽  
Yong-Yuan Deng ◽  
Chun-Ta Li
Keyword(s):  
Service System ◽  
Cloud Service

Construction of a one-stop document supply service platform

2014 ◽  
Vol 42 (2/3) ◽  
pp. 120-124
Author(s):  
Lijun Zeng ◽  
Xiaoxia Yao ◽  
Juanjuan Liu ◽  
Qiang Zhu
Keyword(s):  
Resource Sharing ◽  
Service System ◽  
Academic Library ◽  
Information Service ◽  
Cloud Service ◽  
File Transfer ◽  
Service Platform ◽  
Content Type ◽  
Application Systems ◽  
One Stop

Purpose – The purpose of this paper is to provide a detailed overview of the China Academic Library and Information system (CALIS) document supply service platform (CDSSP) – its historical development, network structure and future development plans – and discuss how its members make use of and benefit from its various components. Design/methodology/approach – The authors provide a first-person account based on their professional positions at the CALIS Administrative Center. Findings – CDSSP comprises five application systems including a unified authentication system, Saas-based interlibrary loan (ILL) and document delivery (DD) service system, ILL central scheduling and settlement system, File Transfer Protocol (FTP) service system and a service integration interface system. These systems work together to meet the needs of member libraries, other information service institutions, and their end users. CDSSP is widely used by more than 1,100 libraries based on a cloud service strategy. Each year more than 100,000 ILL and DD transactions are processed by this platform. Originality/value – The development of CDSSP makes it becomes true for CALIS to provide one stop information retrieval and supply service. At the same time, it promotes the resource sharing among member libraries to a great degree.

Virtual Cloud Service System for Building Effective Inter-Cloud Applications

2017 ◽  
Author(s):  
Atsuko Takefusa ◽  
Shigetoshi Yokoyama ◽  
Yoshinobu Masatani ◽  
Tomoya Tanjo ◽  
Kazushige Saga ◽  
...  
Keyword(s):  
Service System ◽  
Cloud Service ◽  
Cloud Applications

Cloud Service Security Adaptive Target Detection Algorithm Based on Bio-Inspired Performance Evaluation Process Algebra

2019 ◽  
Vol 24 (3) ◽  
pp. 185-193
Author(s):  
Guosheng Zhao ◽  
Xiaofeng Qu ◽  
Yuting Liao ◽  
Tiantian Wang ◽  
Jingting Zhang
Keyword(s):  
Performance Evaluation ◽  
Target Detection ◽  
Process Algebra ◽  
Evaluation Process ◽  
Cloud Service ◽  
Detection Algorithm

scholarly journals A Bottleneck Detection Algorithm for Complex Product Assembly Line Based on Maximum Operation Capacity

2014 ◽  
Vol 2014 ◽  
pp. 1-9
Author(s):  
Dongping Zhao ◽  
Xitian Tian ◽  
Junhao Geng
Keyword(s):  
Convergence Rate ◽  
Adjacency Matrix ◽  
Assembly Line ◽  
Detection Algorithm ◽  
Improved Genetic Algorithm ◽  
Complex Assembly ◽  
Complex Product ◽  
Bottleneck Detection ◽  
Product Assembly ◽  
Min Cut

Because of the complex constraints in complex product assembly line, existing algorithms not always detect bottleneck correctly and they have a low convergence rate. In order to solve this problem, a hybrid algorithm of adjacency matrix and improved genetic algorithm (GA) was proposed. First, complex assembly network model (CANM) was defined based on operation capacity of each workstation. Second, adjacency matrix was proposed to convert bottleneck detection of complex assembly network (CAN) into a combinatorial optimization problem of max-flow. Third, an improved GA was proposed to solve this max-flow problem by retaining the best chromosome. Finally, the min-cut sets of CAN were obtained after calculation, and bottleneck workstations were detected according to the analysis of min-cut sets. A case study shows that this algorithm can detect bottlenecks correctly and its convergence rate is high.

scholarly journals A Dimension Separation Based Hybrid Classifier Ensemble for Locating Faults in Cloud Services

2016 ◽  
Vol 11 (4) ◽  
pp. 493
Author(s):  
Min-jing Peng ◽  
Yun Yue ◽  
Bo Li ◽  
Chun-yang Wang
Keyword(s):  
Neural Network ◽  
Data Fusion ◽  
Large Scale ◽  
Fault Location ◽  
Service System ◽  
Cloud Service ◽  
Cloud Services ◽  
Classifier Ensemble ◽  
Neural Network Ensemble ◽  
The Neural Network

<p>Cloud services provide Internet users with various services featured with data fusion through the dynamic and expandable virtual resources. Because a large amount of data runs in different modules of the cloud service systems, it will inevitably produce all kinds of failures when the data is processed in and transferred between modules. Therefore the job of rapid fault location has an important role in improving the quality of cloud services. Because of the features of large scale and data fusion of data in the cloud service system, it is difficult to use the conventional fault locating method to locate the faults quickly. Taking the requirements on the speed of locating faults into account, we will make a clear division to all possible failure causes according to the business phases, and quickly locate the faults by implementing a cascading structure of the neural network ensemble. At last, we conducted an experiment of locating faults in a cloud service system runned by a telecom operator, comparing the proposed hybird classifier ensemble with neural networks trained by separated data subsets and a conventional neural network ensemble based on bagging algorithm. The experiment proved that the neural network ensemble based on dimension separation is effective for locating faults in cloud services.</p>

Sign in / Sign up

Export Citation Format

Share Document