Hybrid Mobile Cloud Computing Architecture with Load Balancing for Healthcare Systems

Healthcare is a fundamental part of every individual’s life.The healthcare industry is developing very rapidly with the help of advanced technologies.Many researchers are trying to build cloud-based healthcare applications that can be accessed by healthcare professionals from their premises,as well as by patients from their mobile devices through communication interfaces.These systems promote reliable and remote interactions between patients and healthcare professionals.However,there are several limitations to these innovative cloud computing-based systems,namely network availability,latency,battery life and resource availability.We propose a hybrid mobile cloud computing(HMCC)architecture to address these challenges.Furthermore,we also evaluate the performance of heuristic and dynamic machine learning based task scheduling and load balancing algorithms on our proposed architecture.We compare them,to identify the strengths and weaknesses of each algorithm;and provide their comparative results,to show latency and energy consumption performance.Challenging issues for cloudbased healthcare systems are discussed in detail.

Many-Objective Optimization-Based Task Scheduling in Hybrid Cloud Environments

Due to the security and scalability features of hybrid cloud architecture,it can bettermeet the diverse requirements of users for cloud services.And a reasonable resource allocation solution is the key to adequately utilize the hybrid cloud.However,most previous studies have not comprehensively optimized the performance of hybrid cloud task scheduling,even ignoring the conflicts between its security privacy features and other requirements.Based on the above problems,a many-objective hybrid cloud task scheduling optimization model(HCTSO)is constructed combining risk rate,resource utilization,total cost,and task completion time.Meanwhile,an opposition-based learning knee point-driven many-objective evolutionary algorithm(OBL-KnEA)is proposed to improve the performance of model solving.The algorithm uses opposition-based learning to generate initial populations for faster convergence.Furthermore,a perturbation-based multipoint crossover operator and a dynamic range mutation operator are designed to extend the search range.By comparing the experiments with other excellent algorithms on HCTSO,OBL-KnEA achieves excellent results in terms of evaluation metrics,initial populations,and model optimization effects.

Flexible CP-ABE Based Access Control on Encrypted Data for Mobile Users in Hybrid Cloud System

In hybrid cloud computing, encrypted data access control can provide a fine-grained access method for organizations to enact policies closer to organizational policies. This paper presents an improved CP-ABE (ciphertext-policy attribute-based encryption) scheme to construct an encrypted data access control solution that is suitable for mobile users in hybrid cloud system. In our improvement, we split the original decryption keys into a control key, a secret key and a set of transformation keys. The private cloud managed by the organization administrator takes charge of updating the transformation keys using the control key. It helps to handle the situation of flexible access management and attribute alteration. Meanwhile, the mobile user's single secret key remains unchanged as well as the ciphertext even if the data user's attribute has been revoked. In addition, we modify the access control list through adding the attributes with corresponding control key and transformation keys so as to manage user privileges depending upon the system version. Finally, the analysis shows that our scheme is secure, flexible and efficient to be applied in mobile hybrid cloud computing.

Cloud Computing: Purpose and Future

Cloud computing is the new norm within business entities as businesses try to keep up with technological advancements and user needs. The concept is defined as a computing environment allowing for remote outsourcing of storage and computing resources. A hybrid cloud environment is an excellent example of cloud computing. Specifically, the hybrid system provides organizations with increased scalability and control over their data and support for a remote workforce. However, hybrid cloud systems are expensive as organizations operate different infrastructures while introducing complexity to the organization’s activities. Data security is critical among the most vital concerns that have resulted from the use of cloud computing, thus, affecting the rate of user adoption and acceptance. This article, borrowing from the hybrid cloud computing system, recommends combining traditional and modern data security systems. Traditional data security systems have proven effective in their respective roles, with the main challenge arising from their recognition of context and connectivity. Therefore, integrating traditional and modern designs is recommended to enhance effectiveness, context, connectivity, and efficiency.

Hybrid Cloud Architecture for Higher Education System

As technology improves,several modernization efforts are taken in the process of teaching and learning.An effective education system should maintain global connectivity,federate security and deliver self-access to its services.The cloud computing services transform the current education system to an advanced one.There exist several tools and services to make teaching and learning more interesting.In the higher education system,the data flow and basic operations are almost the same.These systems need to access cloud-based applications and services for their operational advancement and flexibility.Architecting a suitable cloud-based education system will leverage all the benefits of the cloud to its stakeholders.At the same time,educational institutions want to keep their sensitive information more secure.For that,they need to maintain their on-premises data center along with the cloud infrastructure.This paper proposes an advanced,flexible and secure hybrid cloud architecture to satisfy the growing demands of an education system.By sharing the proposed cloud infrastructure among several higher educational institutions,there is a possibility to implement a common education system among organizations.Moreover,this research demonstrates how a cloud-based education architecture can utilize the advantages of the cloud resources offered by several providers in a hybrid cloud environment.In addition,a reference architecture using Amazon Web Service(AWS)is proposed to implement a common university education system.

Use of Dynamical Systems Modeling to Hybrid Cloud Database

In the article, an experiment is aimed at clarifying the transfer efficiency of the database in the cloud infrastructure. The system was added to the control unit, which has guided the database search in the local part or in the cloud. It is shown that the time data acquisition remains unchanged as a result of modification. Suggestions have been made about the use of the theory of dynamic systems to hybrid cloud database. The present work is aimed at attracting the attention of specialists in the field of cloud database to the apparatus control theory. The experiment presented in this article allows the use of the description of the known methods for solving important practical problems.

Security analysis of access control model in hybrid cloud based on security entropy

To resolve the problem of quantitative analysis in hybrid cloud,a quantitative analysis method,which is based on the security entropy,is proposed.Firstly,according to the information theory,the security entropy is put forward to calculate the uncertainty of the system' s determinations on the irregular access behaviors.Secondly,based on the security entropy,security theorems of hybrid cloud are defined.Finally,typical access control models are analyzed by the method,the method's practicability is validated,and security and applicability of these models are compared.Simulation results prove that the proposed method is suitable for the security quantitative analysis of the access control model and evaluation to access control capability in hybrid cloud.

Cost Effective Optimal Task Scheduling Model in Hybrid Cloud Environment

In today’s world, Cloud Computing (CC) enables the users to accesscomputing resources and services over cloud without any need to own the infrastructure. Cloud Computing is a concept in which a network of devices, located inremote locations, is integrated to perform operations like data collection, processing, data profiling and data storage. In this context, resource allocation and taskscheduling are important processes which must be managed based on the requirements of a user. In order to allocate the resources effectively, hybrid cloud isemployed since it is a capable solution to process large-scale consumer applications in a pay-by-use manner. Hence, the model is to be designed as a profit-driven framework to reduce cost and make span. With this motivation, the currentresearch work develops a Cost-Effective Optimal Task Scheduling Model(CEOTS). A novel algorithm called Target-based Cost Derivation (TCD) modelis used in the proposed work for hybrid clouds. Moreover, the algorithm workson the basis of multi-intentional task completion process with optimal resourceallocation. The model was successfully simulated to validate its effectivenessbased on factors such as processing time, make span and efficient utilization ofvirtual machines. The results infer that the proposed model outperformed theexisting works and can be relied in future for real-time applications.

The Future of Cloud Computing: Benefits and Challenges

The purpose of this paper is to provide a better knowledge of the cloud computing as well as to suggest relevant research paths in this growing field. Also, we will go through the future benefits of cloud computing and the upcoming possible challenges we will have. Intext Cloud, performance, cloud computing, architecture, scale-up, and big data are all terms used in this context. Cloud computing offers a wide range of architectural configurations, including the number of processors, memory, and nodes. Cloud computing has already changed the way we store, process, and access data, and it is expected to continue to have a significant impact on the future of information technology. Cloud computing enables organizations to scale their IT resources up or down quickly and easily, without the need for costly hardware upgrades. This can help organizations to respond more quickly to changing business needs and market conditions. By moving IT resources to the cloud, organizations can reduce their IT infrastructure costs and improve their operational efficiency. Cloud computing also allows organizations to pay only for the resources they use, rather than investing in expensive hardware and software licenses. Cloud providers invest heavily in security and compliance measures, which can help to protect organizations from cyber threats and ensure regulatory compliance. Cloud computing provides a scalable platform for AI and machine learning applications, enabling organizations to build and deploy these technologies more easily and cost-effectively. A task, an application, and its input can take up to 20 times longer or cost 10 times more than optimal. Cloud products’ ready adaptability has resulted in a paradigm change. Previously, an application was optimized for a specific cluster;however, in the cloud, the architectural configuration is tuned for the workload. The evolution of cloud computing from the era of mainframes and dumb terminals has been significant, but there are still many advancements to come. As we look towards the future, IT leaders and the companies they serve will face increasingly complex challenges in order to stay competitive in a constantly evolving cloud computing landscape. Additionally, it will be crucial to remain compliant with existing regulations as well as new regulations that may emerge in the future. It is safe to say that the next decade of cloud computing will be just as dramatic as the last where many internet services are becoming cloud-based, and huge enterprises will struggle to fund physical infrastructure. Cloud computing is significantly used in business innovation and because of its agility and adaptability, cloud technology enables new ways of working, operating, and running a business. The service enables users to access files and applications stored in the cloud from anywhere, removing the requirement for users to be always physically close to actual hardware. Cloud computing makes the connection available from anywhere because they are kept on a network of hosted computers that carry data over the internet. Cloud computing has shown to be advantageous to both consumers and corporations. To be more specific, the cloud has altered our way of life. Overall, cloud computing is likely to continue to play a significant role in the future of IT, enabling organizations to become more agile, efficient, and innovative in the face of rapid technological change. This is likely to drive further innovation in AI and machine learning in the coming years.

基于混合云架构的高速公路信息系统设计及实现

长期以来,由于我国高速公路信息系统普遍建立在物理机服务器上,导致存在计算资源利用率低、系统可靠性差、数据管理工作复杂等一系列问题。得益于云技术的快速发展,为解决上述问题,提出一种混合云架构的高速公路信息系统。首先,基于高速公路信息系统智能化及业务需求,设计实现了异构资源整合、硬件虚拟化和统一的数据访问接口,统筹管理计算资源。其次,研究设计两地三中心数据混合云架构系统备份框架,提高系统可靠性。再次,通过模拟分析验证了架构设计的优越性。最后,将以上成果在湖南省高速公路信息系统升级建设中进行应用实践,实测数据表明,与原系统相比,混合云架构平台提高了394%的计算资源利用率、170%的系统稳定性和49%的数据物理安全性,并提供了更加高效便捷的数据管理操作。

载人月球探测混合云架构体系仿真系统研究

针对载人月球探测工程任务需求,设计了一种基于混合云架构的体系仿真系统,实现了辅助设计、方案验证和协助任务等功能应用。分别从任务设计和应用模式角度分析了体系仿真系统功能需求;根据需求给出体系仿真系统总体架构,采用仿真平台和仿真支持库统筹建设的方式,完成了系统开发与集成;提出了针对体系仿真系统建设涉及的体系建模、任务规划、推演展示、效能评估和系统联动与扩展关键技术实现方案;应用该系统实现了对典型载人月面活动场景的仿真,得到了关键参数模拟推演结果,验证了体系仿真系统各项功能有效性和正确性;最后给出了思考和展望。该体系仿真系统可支撑未来载人月球探测相关任务开展发展论证和综合评估验证,能够为同类系统开发提供方案参考。

基于SAMBA和CP-ABE的异构系统访问控制方法

针对企业私有云计算环境下原有的Windows操作系统所采用的AD单点登录不能直接访问云服务器的问题,提出一种基于SAMBA协议的异构系统CP-ABE加密访问控制方法。现有的异构系统单点登录依赖外部服务器完成身份认证,存在安全隐患且响应速度受网络环境影响,通过在Linux服务器上配置SAMBA本地服务器作为中介,利用Winbind组件和Kerberos组件实现AD账户到SAMBA服务器的映射和身份认证,避免了依赖第三方认证服务器存在的安全风险以及信息交互期间存在的网络性能隐患,同时iSCSI组件将云存储系统与SAMBA服务器相连,Quota工具对不同用户和组设置磁盘配额,实现了对云存储空间的合理利用。最后,采用CP-ABE技术进行访问控制和文件加密确保数据的安全传输和隐私保护,最终实现AD账户单点登录云存储系统。实验表明,该方法在企业私有云环境下能够有效解决异构系统的加密访问控制问题,为混合云环境下的访问控制提供了一种有效的解决方案,为企业数据安全和管理提供了有力支持。

共享混合云测试平台在城轨实验室运行的研究

建设交通强国的逐渐推进,对城轨实验室的信息化改造提出更高的要求。基于云计算的技术框架,提出共享测试云平台的方案,创新性地构建新一代的云环境城轨信号实验室。通过利用VLAN及路由的通信技术,可实现公有云、私有云及实验室区域间的部分耦合联动,然而公有云由于通信链路的限制,无法实现与其他区域不同网段的通信。创新性地引入VXLAN技术,通过搭建二层通信隧道,解决同网段通信的需求,从而支持更多测试场景的搭建。混合云平台的搭建拓展城轨实验室的业务范围,为持续推动实验室的数字化转型、智能化发展起到支撑作用。

美国《国防信息系统局2025—2029财年战略》文件解读

为维护美国防部的全球信息优势,美国防信息系统局发布了其最新5年战略计划《DISA2025—2029财年战略》,阐明了其将在国防信息网络领域采取的措施及2030年转型目标,以保障美国防部的信息优势地位和联合全域作战能力。文章详细解读了该战略文件的发布背景、主要内容等,并提出思考认识,为我国相关工作提供思路。

Cloud-Enabled E-Governance Framework for Citizen Centric Services

In the modern arena, the Information and Communication Technologies (ICTs) have been playing a vital role in every walks of our day to day life. In order to enhance the ICT capacity and align with the global technology transformations, the developing countries have started introducing the computerization and automation processes at different levels of the governments. The several research studies revealed that the existing legacy of governance system and their services in current state have several issues and challenges in terms of timeliness, cost of services, delay in service delivery, time-bound availability of services (24/7/365), inefficiency services, ease of service and discomforts, poor service collaboration, absence of responsiveness, and limited security of sensitive information/documents. A significant question is still unanswered that how to bring the Citizens and Government bodies closer for alleviating the aforementioned issues and challenges of existing government system services. This research paper aims to investigate the issues and challenges in the current status of Governance and partial E-Governance systems which encompass the computerization or automation process. The research designs a cloud framework for effective delivery of citizen centric services in general and Ethiopia as a specific case study. After rigorous analysis of prior research efforts, along with primary survey and interview, it was clearly observed that cloud computing can be an alternative instrumental for significant transformation of governmental service delivery. The research paper used a mix of exploratory and constructive research design and methodology with qualitative & quantitative data analysis approach. Finally, a Cloud Based E-Governance (CBEG) Framework is designed for the delivery of Ethiopian Citizen Centric Services. The validation, evaluation and acceptance test of the framework proves that the revealed knowledge can provide a significant transformation towards the betterment of the E Governance Services Delivery Systems.

智能网联混合动力汽车能量管理研究综述

传统的能量管理设计大多基于标准工况,训练中的环境未涉及突变因素,训练结果与实际应用情况存在差异。随着基于新一代信息与通信技术的智能网联云控系统的出现,将人、车、路、云联成一体,实现了感知、决策与控制的融合,使混合动力汽车能量管理的控制性能可能提升。回顾了近年来经典的混合动力汽车能量管理策略研究进展,概述了智能网联云控系统,介绍了构架及工作原理,对基于智能网联环境下的单车和多车场景的混合动力汽车能量管理策略做了归纳和分析。最后,指出了当前智能网联技术应用的限制,展望了未来工作重点,展示了智能网联混合动力汽车能量管理领域的最新研究动态,方便相关领域的研究人员掌握有关研究现状。

基于“云课堂+OJ系统”双平台的混合式教学模式研究与实践

为了改善《Java程序设计》课程的授课效果,提高高校学生编写代码的能力,设计了基于“云课堂”+“Online Judge”系统(即OJ系统)的线上线下混合教学模式.教师可分别在课前、课中、课后利用云课堂与OJ系统发布预习任务、讲解知识重难点、完成复习及实战编程任务,学生还可在线上与编程高手实时沟通,在交流与竞赛中获得成长.通过云课堂与OJ系统的引入,学生可以及时得到有效的做题反馈,教师也可根据系统的学情分析数据,及时调整后续课程的教学,充分体现了在教学过程中“以学生为中心”的教学原则,保证教学过程的高效实施.

混合云环境下系统发布管理方案研究

随着云计算技术的迅速发展,混合云部署成为众多企业优选的信息系统部署模式。混合云兼有公有云和私有云的特征,但同时带来了系统发布管理方面的新挑战。文章首先对合云部署进行概述,其次探讨混合云环境下系统发布管理需要解决的问题,最后为解决混合云环境下的发布管理问题,提出面向混合云的系统发布管理方案,实现“管理中心—发布节点—信息系统”三层级的混合云集中发布管理,通过管理中心进行系统发布配置集中管理和访问日志集中管理,低管理的复杂度和成本,提高系统发布管理的效率和安全性,为混合云环境下的系统发布管理提供思路。

基于混合云架构的电厂运行数据并行迁移系统

传统的电厂运行数据并行迁移系统存在数据迁移速率低的问题,导致系统延迟较高,因此设计了基于混合云架构的电厂运行数据并行迁移系统。在硬件方面,设计了电路模块、单片机模块、传感器模块与处理模块,单片机采用ADN7632,以光敏传感器、红外传感器、霍尔传感器组合成传感器模块,利用STN5349完成相关信息处理。同时引入混合云架构设计系统软件,通过原始运行数据转换与迁移、数据同步、并行迁移完成软件设计。实验结果表明,该系统的数据迁移速率更高,系统延迟符合电厂的实际要求,具有更高的应用价值。

云技术在企业视频会议系统中的应用

阐述云技术视频会议系统的应用,构建云计算中心,在服务器上实现虚拟化和池化操作。云技术视频会议系统具有开放性、混合通信、降低对网络的需求、安全和灵活的业务特征。