Dynamic Deployment and Scheduling Strategy for Dual-Service Pooling Based Hierarchical Cloud Service System in Intelligent Buildings

2021 ◽  
pp. 1-1
Author(s):  
Hongchang Sun ◽  
Shengjun Wang ◽  
Fengyu Zhou ◽  
Lei Yin ◽  
Meizhen Liu
Keyword(s):  
Service System ◽  
Cloud Service ◽  
Scheduling Strategy ◽  
Intelligent Buildings ◽  
Dynamic Deployment

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

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>

Study on New Task Scheduling Strategy in Cloud Computing Environment Based on the Simulator CloudSim

2013 ◽  
Vol 651 ◽  
pp. 829-834 ◽  
Author(s):  
Zhong Tang He ◽  
Xiao Qing Zhang ◽  
Heng Xi Zhang ◽  
Zhi Wei Xu
Keyword(s):  
Cloud Computing ◽  
Task Scheduling ◽  
Cloud Service ◽  
Cloud Computing Environment ◽  
Scheduling Strategy ◽  
Layered Architecture ◽  
Cloud Resource ◽  
Computing Simulation ◽  
Structure Layer ◽  
Layer Cloud

In this paper, the principle and mechanism of CloudSim is analyzed. The layered architecture of CloudSim is emphasized, including user code layer, cloud resource layer, cloud service layer, network layer, virtual machine service layer and user interface structure layer. Based on these works, taking the task scheduling in cloud environment as a research object, five task scheduling algorithms are proposed and are extended into CloudSim platform. Then a specific cloud simulation scene is deployed and five simulation experiments are carried out. The cloud computing simulation and the extension of task scheduling strategy in CloudSim become easily by the help of such works.

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