Research on cloud computing and services framework of marine environmental information management

Based on the features of marine environmental data and processing requirements, a cloud computing archi- tecture of marine environment information is proposed, which provides a new cloud technology framework for the integration and sharing of marine environmental information resources. A physical layer, software platform layer and an application layer are illustrated systematically, at the same time, a corresponding solu- tions for many difficult technical problems such as parallel query processing of multi-dimensional, spatio- temporal information, data slice storage, software service flow customization, analysis, reorganization and so on. A prototype system is developed and many different data-size experiments and a comparative analy- sis are done based on it. The experiment results show that the cloud platform based on this framework can achieve high performance and scalability when dealing with large-scale marine data.

Cloud Computing Applications in Global Logistics Information System Infrastructure

Information and communication technology （ICT） and systems are essential for every business. They can be used in retail, manufacturing and other industries. Nevertheless, new and innovative ideas and solutions are constantly emerging and introducing new possibilities for the reorganization of traditional logistics processes. Particularly, attention is given to basic concept of CC （cloud computing） service models and opportunities in logistics. This paper provides comprehensive review and comparison of different ICT solutions and CC applications. As a new and cutting-edge technology, CC is changing the form and function of information technology infrastructures making supply chain information collaboration easy and feasible. It can also be an enabler of fully electronic logistics management systems. Adoption of CC concept involves strong hardware support, good internet connectivity and implied reorganization of traditional business activities.

A Unified Framework of the Cloud Computing Service Model

After a comprehensive literature review and analysis, a unified cloud computing framework is proposed, which comprises MapReduce, a vertual machine, Hadoop distributed file system （HDFS）, Hbase, Hadoop, and virtualization. This study also compares Microsoft, Trend Micro, and the proposed unified cloud computing architecture to show that the proposed unified framework of the cloud computing service model is comprehensive and appropriate for the current complexities of businesses. The findings of this study can contribute to the knowledge for academics and practitioners to understand, assess, and analyze a cloud computing service application.

QoS Based Framework for Effective Web Services in Cloud Computing

Enhancements in technology always follow Consumer requirements. Consumer requires best of service with least possible mismatch and on time. Numerous applications available today are based on Web Services and Cloud Computing. Recently, there exist many Web Services with similar functional characteristics. Choosing “a-right” Service from group of similar Web Service is a complicated task for Service Consumer. In that case, Service Consumer can discover the required Web Service using non functional attributes of the Web Services such as QoS. Proposed layered architecture and Web Service-Cloud, i.e. WS-Cloud computing Framework synthesizes the non functional attributes that includes reliability, availability, response time, latency etc. The Service Consumer is projected to provide the QoS requirements as part of Service discovery query. This framework will discover and filter the Web Services form the cloud and rank them according to Service Consumer preferences to facilitate Service on time.

Cloud-Based Spatial Information Service Architecture within LBS

Location Based Services (LBS) have become a popular technology to retrieve information about the surroundings of a mobile user which results in ubiquitous demand of spatial information service with diverse needs of different types of users. The aim of this paper is to reveal the potential of cloud-based spatial information service architecture that plays an integral role in LBS design and practice. This paper analyzes the characteristics of the spatial information of cloud services, such as data access transparency, spatial analysis parallelization, service capabilities flexible, information services standardization, service aggregation visualization, re-development flexible. This paper provides a possible solution to overcome the LBS service issues. In this paper, the short review of LBS and Cloud computing are given first and then the possibility of LBS design with cloud computing are analyzed. At last, cloud-based spatial information service architecture is proposed.

Analysis on Key Technology of ＂Cloud Computing＂

This paper introduces the background of cloud computing, takes analysis of key technology, analysis of cloud computing and traditional competitive intelligence information model for comparative study, for the security of cloud computing, function and service of the following aspects to elaborate, to explore the influence of cloud computing on the information.

Insurance Plan for Service Assurance in Cloud Computing Market with Incomplete Information

Nowadays,cloud computing has been identified as new opportunities for migrating to the expected agility,reuse,and adaptive capabilities that can support the ever changing IT trends and requirements.Unfortunately,the rapid evolution of those technologies also comes with open issues such as security,privacy,integrity,quality of services,and their possible detrimental consequences.In this work,the concept of insurance is introduced to compensate the cloud computing customers when encountering those failures if service providers(SPs)have insurance purchased.Particularly,we consider the situation when the insurer is unable to see the system failure risk levels of the SPs,which is usually seen as an incomplete information market,in contrast with the optimal situation in a complete information market.First,an insurance-based cloud computing architecture is proposed to build a monetary credit system in which the cloud computing SP pays a premium for a certain coverage to the insurer.Subsequently,problem is formulated to solve the optimal insurance plan in complete and incomplete information markets,together with detail analysis of insurance policies in both cases are provided.Furthermore,simulation results show the properties of the two insurance plans and parameters that affect the design of the insurance plan.

Edge Cloud Selection in Mobile Edge Computing(MEC)-Aided Applications for Industrial Internet of Things(IIoT)Services

In many IIoT architectures,various devices connect to the edge cloud via gateway systems.For data processing,numerous data are delivered to the edge cloud.Delivering data to an appropriate edge cloud is critical to improve IIoT service efficiency.There are two types of costs for this kind of IoT network:a communication cost and a computing cost.For service efficiency,the communication cost of data transmission should be minimized,and the computing cost in the edge cloud should be also minimized.Therefore,in this paper,the communication cost for data transmission is defined as the delay factor,and the computing cost in the edge cloud is defined as the waiting time of the computing intensity.The proposed method selects an edge cloud that minimizes the total cost of the communication and computing costs.That is,a device chooses a routing path to the selected edge cloud based on the costs.The proposed method controls the data flows in a mesh-structured network and appropriately distributes the data processing load.The performance of the proposed method is validated through extensive computer simulation.When the transition probability from good to bad is 0.3 and the transition probability from bad to good is 0.7 in wireless and edge cloud states,the proposed method reduced both the average delay and the service pause counts to about 25%of the existing method.

Information Security in the Cloud: Emerging Trends and Challenges

This article explores the evolution of cloud computing, its advantages over traditional on-premises infrastructure, and its impact on information security. The study presents a comprehensive literature review covering various cloud infrastructure offerings and security models. Additionally, it deeply analyzes real-life case studies illustrating successful cloud migrations and highlights common information security threats in current cloud computing. The article concludes by offering recommendations to businesses to protect themselves from cloud data breaches and providing insights into selecting a suitable cloud services provider from an information security perspective.

A multi-feature-based intelligent redundancy elimination scheme for cloud-assisted health systems

Redundancy elimination techniques are extensively investigated to reduce storage overheads for cloud-assisted health systems.Deduplication eliminates the redundancy of duplicate blocks by storing one physical instance referenced by multiple duplicates.Delta compression is usually regarded as a complementary technique to deduplication to further remove the redundancy of similar blocks,but our observations indicate that this is disobedient when data have sparse duplicate blocks.In addition,there are many overlapped deltas in the resemblance detection process of post-deduplication delta compression,which hinders the efficiency of delta compression and the index phase of resemblance detection inquires abundant non-similar blocks,resulting in inefficient system throughput.Therefore,a multi-feature-based redundancy elimination scheme,called MFRE,is proposed to solve these problems.The similarity feature and temporal locality feature are excavated to assist redundancy elimination where the similarity feature well expresses the duplicate attribute.Then,similarity-based dynamic post-deduplication delta compression and temporal locality-based dynamic delta compression discover more similar base blocks to minimise overlapped deltas and improve compression ratios.Moreover,the clustering method based on block-relationship and the feature index strategy based on bloom filters reduce IO overheads and improve system throughput.Experiments demonstrate that the proposed method,compared to the state-of-the-art method,improves the compression ratio and system throughput by 9.68%and 50%,respectively.

Web Service技术及其在虚拟企业管理信息系统中的应用

介绍了Web Service的定义、基本原理及功能,针对目前虚拟企业管理信息系统难以解决的可重构与集成问题,提出了一种基于Web Service的虚拟企业管理信息系统,有效地解决了跨部门、跨企业、跨平台的业务流程的集成。探讨了Web Service技术在虚拟企业管理信息系统中的具体应用。阐述了.Net Framework架构下基于Web Service的虚拟企业信息系统的三层分布式体系结构及其功能模块。最后重点介绍了Web Service技术的实现机制。

基于SpringCloud框架的医疗信息共享平台设计与实现

目的:设计并实现一款基于SpringCloud框架的医疗信息共享平台,以提高医疗信息的共享和交换能力。方法:借助云平台提供的云计算开发及运维资源,采用SpringCloud微服务的思路,将医疗信息共享平台的微服务分为人事管理微服务(SMS)、患者管理微服务(PMS)、诊断管理微服务(DMS)和财务管理微服务(FMS)4部分,分别提供不同的医疗信息共享功能。结果:平台支持病患在移动APP端和Web端进行挂号操作,不同微服务之间通过Eureka组件有机整合到一起,实现医疗信息共享,内置的RabbitMQ支持大量实时数据的存储与管理,使得医疗信息共享更加顺畅。结论:基于SpringCloud框架的医疗信息共享平台可实现医院信息系统中大量数据的共享与交换,能够打通各部门、各科室与不同使用角色之间的信息交互,解决大型医院信息共享交换难的弊端;借助云计算服务能力可增强医疗信息共享平台的稳定性和安全性。

Reliable cloud storage system for mobile devices using personal computer

In recent years,the use of mobile devices such as smart phones,tablet PCs,etc.is rapidly increasing.In case of these mobile devices,the storage space is limited due to their characteristics.To make up for the limited space of storage in mobile devices,several methods are being researched.Of these,cloud storage service(CSS),one of cloud computing services,is an efficient solution to compensate such limited storage space.CSS is a service of storing files to the storage and thus getting access to stored files through networks(Internet)at anytime,anywhere.As for the existing CSS,users store their personally important files in the cloud storage,not in their own computers.It may cause security problems such as the leaking of information from private files or the damaging to the information.Thus,we propose a cloud storage system which can solve the security problem of CSS for mobile devices using the personal computer.Our system is deigned to store and manage files through the direct communication between mobile devices and personal computer storages by using the software as a service(SaaS),one of computing services,instead of directly storing files into cloud storages.

Modem Information Technology （IT）： Factor for Business Efficiency and Business Driver

In conditions of high-tech industries, Information Technology （IT） is expected to help solve complex problems by expediting corporate operations and provide more efficient business processes. IT is one of the main factors to improve business efficiency. The new technologies such as virtualisation, consolidation, cloud computing, and software-based solutions are great ways to minimise resource use while maximising the business value of information systems. Technologies and innovations are necessary to ride the inevitable tide of change. Most of enterprises are striving to reduce their computing costs through the means of virtualization. This demand of reducing the computing cost has led to the innovation of cloud computing. Cloud technology offers better computing through improved utilization and reduced administration and infrastructure costs. Cloud computing is the sum of Software as a Service （SaaS） and utility computing. Cloud computing represents a fundamental change in the way computing power is generated and distributed, transforming the delivery of IT tools and products into elastic, on demand services characterized by flexible ＂pay as you go＂ payment models. More than half of European Union （EU） businesses and consumers already use some kind of cloud services. The diffusion of cloud computing is expected to generate substantial direct and indirect impacts on economic and employment growth in the EU, thanks to the migration to a new IT paradigm enabling greater innovation and productivity. The cost of using digital technologies, such as information service providers, decreases as the number of users increases. All of these factors work together to promote a rapid growth in the demand for, and supply of, IT products and services.

基于Web Service的数字化民俗博物馆的研究与实现

为增强世界各族人民对新疆少数民族民俗文化的了解,并实现各个大学数字博物馆之间的无间访问,提出了基于Web Service的英、汉、维三语数字化民俗博物馆的建设方案,文中分析设计了数字化民俗博物馆的总体结构,讨论了Web Service关键技术与ASP.Net技术,并结合Web服务与ASP.Net技术,初步实现了数字民俗博物馆的建设,利用这两种技术的优点,提高了客户端的浏览速度,为用户提供了更方便、更透明的信息服务,并为不同用户提供了英、汉、维三种语言的选择。

大数据时代云计算技术在智慧医院信息服务中的应用研究

文中探讨了云计算技术在智慧医院信息服务中的应用.通过分析云计算技术的特点及其在医疗信息化中的优势,研究了云计算在智慧医院各领域的具体应用,包括云档案、云管理、云病例、云运营、云信息系统等.研究表明,云计算技术能有效整合医疗资源,优化管理流程,促进医疗服务创新升级,推动医院高质量发展.未来,云计算将与大数据、人工智能等新兴技术深度融合,以构建高效协同、持续优化的智慧医疗新生态.

云原生架构计算平台在影像医学教学中的应用研究

对云原生架构在影像医学教育领域的应用进行了深入研究,旨在优化医学影像数据的存储、访问与分析模式,提升教学质量与效率;研究构建了一个高性能计算平台,该平台深度融合了云原生技术,支持大规模、多源异构影像数据的高效处理;平台设计采用了先进的微服务架构与开放的API接口,确保了系统的高度可扩展性和灵活性,有效推动了教学科研工作的自动化、智能化进程;实践证明,该云原生架构计算平台依靠其弹性、可扩展性和自动化管理能力,不仅可为医学生提供强大的工具,助力他们深入智能分析影像学数据,洞察数据背后的复杂机理,同时也可为医工交叉领域的教学与科研合作构筑坚实的技术桥梁。

基于云计算虚拟化技术的智慧旅游信息服务平台设计

为提高旅游服务信息网络资源利用率和增加游客量,设计基于云计算虚拟化技术的智慧旅游信息服务平台。该平台通过具备各类服务器、网络设备以及接口端的物理层完成旅游资源调度、分配以及管理,实现旅游资源集成化,并通过相对应的分布式处理方式,将信息、旅游资源虚拟化。实验结果表明:该平台具有较好的大数据处理效率以及应用性,可降低旅游企业50%的运行成本,使游客量大幅度提升。

医疗消毒设备智能服务云平台设计与实现

在数字化技术蓬勃发展的今天,医疗消毒设备管理日益成为关注焦点。医疗消毒设备智能服务云平台的设计与实现基于Spring Boot和Vue框架,实现设备管理、组织管理、项目管理、角色管理和账号管理等核心功能。通过该云平台,为医疗消毒设备提供信息化和设备智能维保等服务。平台的应用将显著提高医疗消毒设备的维保效率,为医疗机构提供更便捷、高效的管理手段。

计算机程序设计的多应用型开发思考

本文指出随着计算机技术的快速发展,计算机程序设计已经从单一应用转变为多应用型开发。这种转变不仅可以推动编程语言和设计方法的演进,还能催生更为复杂和高效的计算机管理系统。本文首先回顾计算机程序的历史演变,突出编程语言的不断演化和程序设计方法的转变;其次分析计算机管理系统的两个主要方面:计算机信息管理系统和计算机应用管理系统;最后探讨其在电子商务、工业和医疗领域的具体应用,以期为未来的发展提供借鉴。