Detecting and Preventing of Attacks in Cloud Computing Using Hybrid Algorithm

Cloud computing is the technology that is currently used to provide users with infrastructure,platform,and software services effectively.Under this system,Platform as a Service(PaaS)offers a medium headed for a web development platform that uniformly distributes the requests and resources.Hackers using Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks abruptly interrupt these requests.Even though several existing methods like signature-based,statistical anomaly-based,and stateful protocol analysis are available,they are not sufficient enough to get rid of Denial of service(DoS)and Distributed Denial of Service(DDoS)attacks and hence there is a great need for a definite algorithm.Concerning this issue,we propose an improved hybrid algorithm which is a combination of Multivariate correlation analysis,Spearman coefficient,and mitigation technique.It can easily differentiate common traffic and attack traffic.Not only that,it greatly helps the network to distribute the resources only for authenticated requests.The effects of comparing with the normalized information have shown an extra encouraging detection accuracy of 99%for the numerous DoS attack as well as DDoS attacks.

Strategies and Methods for Cloud Migration

Legacy system migration to the cloud brings both great challenges and benefits, so there exist various academic research and industrial applications on legacy system migration to the cloud. By analyzing the research achievements and application status,we divide the existing migration methods into three strategies according to the cloud service models integrally. Different processes need to be considered for different migration strategies, and different tasks will be involved accordingly. The similarities and differences between the migration strategies are discussed, and the challenges and future work about legacy system migration to the cloud are proposed. The aim of this paper is to provide an overall presentation for legacy system migration to the cloud and identify important challenges and future research directions.

Big data analytics with applications

In this paper,recent developments on the Internet of Things(IoT)and its applications are surveyed,and the impact of newly developed Big Data(BD)on manufacturing information systems is especially discussed.Big Data analytics(BDA)has been identified as a critical technology to support data acquisition,storage,and analytics in data management systems in modern manufacturing.The purpose of the presented work is to clarify the requirements of predictive systems,and to identify research challenges and opportunities on BDA to support cloudbased information systems.

云计算模式在电力调度系统中的应用

从辨析云计算的概念出发,分别从用户和服务提供者的角度归纳出了当前云计算的核心特征。从虚拟化和分布式2条主线综合分析了云计算核心技术,结合调度系统在计算资源、存储资源和分布式应用等方面的发展需求,探讨了应用云计算模式的优势,评估了可能存在的风险,并且针对当前主流的云计算技术,逐条分析了其在调度系统中的可用性,对云计算模式能否用于电力调度系统进行了深入探讨。最后从基础设施层、资源管理层、云服务层和应用层,结合模型、数据、搜索、计划、计算、互备六大类应用,给出了云计算模式在调度系统中的应用框架。

云计算架构及应用

云计算具有可扩展性、可靠性、安全性、敏捷性、可维护性与效率等特点。探讨了目前比较流行的云计算3层架构和关键技术。借鉴外军云计算的使用,结合我军资源使用部署现状,提出了军事云计算架构设想。

基于云计算的工商办公自动化系统的设计与实现

办公自动化系统是为适应现代无纸化及网络化办公的趋势,更好地服务于现代办公操作,基于B/S模式而开发的一套应用于工商系统的办公自动化系统。系统在设计与实现上基于云服务模式,将系统构架分为基础设施层(IaaS)、系统平台层(PaaS)、应用服务层(SaaS)。基于云服务平台的设计,能够提升系统的可靠性和数据存储安全性,实现硬件资源共享和动态调整,实现应用弹性部署,为各机关提供个性化定制服务,降低运维成本、实现节能减排,并提升技术的先进性,并奠定业务的可扩展基础。

基于云计算的网络教育培训系统研究与实现

针对电网企业网络教育培训系统集中部署产生的访问峰值问题,提出基于云计算建设动态可扩展应用系统的设计方案,并给出系统架构,包括动态集群扩展、基于订阅-发布模式的共享消息总线的系统集成、系统数据解耦等关键技术。通过搭建实验环境,模拟大并发压力下动态调配资源支撑业务需求的场景,结果证明,基于云计算的网络教育培训系统能够满足大并发访问压力下的动态资源需求,保证用户的访问体验。

基于云计算技术的区域医疗信息平台研究

随着云计算技术的成熟,云平台成为区域医疗信息化最好的选择,而且在区域医疗信息化建设中,云计算技术应用不断普及,成为区域医疗信息化的必要条件。本文在介绍云计算技术的基础上,提出了基于云计算的区域医疗卫生信息平台总体框架,围绕该框架深入阐述了云计算数据中心(IAAS)、云计算平台(PAAS)和云计算服务软件(SAAS)的核心技术研究成果,最后介绍了该课题的研究进展以及在镇江市区域医疗信息化建设中的应用效果。