A New Type of Center Data Structure in Cloud Computing

2014 ◽  
Vol 13 (3) ◽  
pp. 461-468
Author(s):  
Guo Xiaohui ◽  
Wei Jian Yu ◽  
Wang Beibei ◽  
Liyongqing .
2013 ◽  
Vol 10 (2) ◽  
pp. 703-724 ◽  
Author(s):  
Taerim Lee ◽  
Hun Kim ◽  
Kyung-Hyune Rhee ◽  
Uk Shin

Recently, as IT Compliance becomes more diverse, companies have to take a great amount of effort to comply with it and prepare countermeasures. Especially, E-Discovery is also one of the most notable compliances for IT and law. In order to minimize the time and cost for E-Discovery, many service systems and solutions using the state-of-the-art technology have been competitively developed. Among them, Cloud Computing is one of the most exclusive skills as a computing infrastructure for E-Discovery Service. Unfortunately, these products actually do not cover all kinds of E-Discovery works and have many drawbacks as well as considerable limitations. This paper, therefore, proposes a new type of E-Discovery Service Structure based on Cloud Computing called EDaaS(E-Discovery as a Service) to make the best usage of its advantages and overcome the limitations of the existing E-Discovery solutions. EDaaS enables E-Discovery participants to smoothly collaborate by removing constraints on working places and minimizing the number of direct contact with target systems. What those who want to use the EDaaS need is only a network device for using the Internet. Moreover, EDaaS can help to reduce the waste of time and human resources because no specific software to install on every target system is needed and the relatively exact time of completion can be obtained from it according to the amount of data for the manpower control. As a result of it, EDaaS can solve the litigant?s cost problem.


Author(s):  
Abdulelah Alwabel ◽  
Robert John Walters ◽  
Gary B. Wills

Cloud computing is a new paradigm that promises to move IT a step further towards utility computing, in which computing services are delivered as a utility service. Traditionally, Cloud employs dedicated resources located in one or more data centres in order to provide services to clients. Desktop Cloud computing is a new type of Cloud computing that aims at providing Cloud capabilities at low or no cost. Desktop Clouds harness non dedicated and idle resources in order to provide Cloud services. However, the nature of such resources can be problematic because they are prone to failure at any time without prior notice. This research focuses on the resource allocation mechanism in Desktop Clouds.The contributions of this chapter are threefold. Firstly, it defines and explains Desktop Clouds by comparing them with both Traditional Clouds and Desktop Grids. Secondly, the paper discusses various research issues in Desktop Clouds. Thirdly, it proposes a resource allocation model that is able to handle node failures.


Author(s):  
Xuedong Zhang ◽  
Shuqin Kang ◽  
Miaole Hou ◽  
Xianglei Liu

With the rapid development of network technology, large enterprises have established their own online learning and examination system respectively. However, as those network examination systems are dispersive, closed and disconnected, so various resources are unable to be utilized in a balanced way, which may cause substantial waste of enterprise resources. To solve such a problem, the emerging cloud computing technology with the characteristics of service on demand and dynamic expansion capability, provides a possibility of a shared network examination system with lower cost, named as cloud exam support service. A feasible solution for the application of the cloud computing technology in the network examination, which combines the theoretical analysis, system design and technical implementation, is put forward in this paper. The design, development, and pilot application of the cloud examination system described in this paper show that this study is highly practical, operable, and worthy of application and popularization.


2014 ◽  
Vol 998-999 ◽  
pp. 1378-1381
Author(s):  
Ru Dan Lin ◽  
Lan Zhen Chen ◽  
Yao Huan Sheng

Cloud computing is mainly studied and applied in data-intensive industries. It is rarely seen in the medical industry, though it is the most representative one of data-intensive industries and closely related to people's lives. There is no medical data interaction platform of cloud computing. This paper introduces the framework of cloud computing data interaction platform for the new rural cooperative medical care system (NCSM), which will allow for NCMS data interaction on this interactive platform.


2013 ◽  
Vol 340 ◽  
pp. 542-545
Author(s):  
Duan Yin Shi ◽  
Xiao Peng Zhang ◽  
Wen Yu Li

Integral sum graph was introduced by Harary. This theory is a labeling of graph. From a practical point of view, integral sum graph labeling can be used as a compressed representation of a graph, a data structure for representing the graph, and an alternative method for defining and storing graphs. In this paper, to give an integral sum labeling of fan graph, and to prove that all multiple composite fan graph are integral sum graphs with the sequence label method.


2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Xiao Song ◽  
Yaofei Ma ◽  
Da Teng

A maturing and promising technology, Cloud computing can benefit large-scale simulations by providing on-demand, anywhere simulation services to users. In order to enable multitask and multiuser simulation systems with Cloud computing, Cloud simulation platform (CSP) was proposed and developed. To use key techniques of Cloud computing such as virtualization to promote the running efficiency of large-scale military HLA systems, this paper proposes a new type of federate container, virtual machine (VM), and its dynamic migration algorithm considering both computation and communication cost. Experiments show that the migration scheme effectively improves the running efficiency of HLA system when the distributed system is not saturated.


2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Hong Ni ◽  
Baorui Liu

This paper from the perspective of multi-dimensional, relational, dynamic this data characteristics and knowledge reconstruction of library spatio-temporal data, Build a cloud service platform for spatio-temporal data of the library?based on the analysis of user demand then discussed its collection, processing, storage and the construction process of user service that provided with the spatio-temporal data. In the era of big data, spatio-temporal data, as a new type of resource, its construction and research enriched and developed traditional data structure relatively.


Web Services ◽  
2019 ◽  
pp. 258-279
Author(s):  
Abdulelah Alwabel ◽  
Robert John Walters ◽  
Gary B. Wills

Cloud computing is a new paradigm that promises to move IT a step further towards utility computing, in which computing services are delivered as a utility service. Traditionally, Cloud employs dedicated resources located in one or more data centres in order to provide services to clients. Desktop Cloud computing is a new type of Cloud computing that aims at providing Cloud capabilities at low or no cost. Desktop Clouds harness non dedicated and idle resources in order to provide Cloud services. However, the nature of such resources can be problematic because they are prone to failure at any time without prior notice. This research focuses on the resource allocation mechanism in Desktop Clouds.The contributions of this chapter are threefold. Firstly, it defines and explains Desktop Clouds by comparing them with both Traditional Clouds and Desktop Grids. Secondly, the paper discusses various research issues in Desktop Clouds. Thirdly, it proposes a resource allocation model that is able to handle node failures.


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