Hybrid Prairie Dog and Beluga Whale Optimization Algorithm for Multi-Objective Load Balanced-Task Scheduling in Cloud Computing Environments

The cloud computing technology is utilized for achieving resource utilization of remotebased virtual computer to facilitate the consumers with rapid and accurate massive data services.It utilizes on-demand resource provisioning,but the necessitated constraints of rapid turnaround time,minimal execution cost,high rate of resource utilization and limited makespan transforms the Load Balancing(LB)process-based Task Scheduling(TS)problem into an NP-hard optimization issue.In this paper,Hybrid Prairie Dog and Beluga Whale Optimization Algorithm(HPDBWOA)is propounded for precise mapping of tasks to virtual machines with the due objective of addressing the dynamic nature of cloud environment.This capability of HPDBWOA helps in decreasing the SLA violations and Makespan with optimal resource management.It is modelled as a scheduling strategy which utilizes the merits of PDOA and BWOA for attaining reactive decisions making with respect to the process of assigning the tasks to virtual resources by considering their priorities into account.It addresses the problem of pre-convergence with wellbalanced exploration and exploitation to attain necessitated Quality of Service(QoS)for minimizing the waiting time incurred during TS process.It further balanced exploration and exploitation rates for reducing the makespan during the task allocation with complete awareness of VM state.The results of the proposed HPDBWOA confirmed minimized energy utilization of 32.18% and reduced cost of 28.94% better than approaches used for investigation.The statistical investigation of the proposed HPDBWOA conducted using ANOVA confirmed its efficacy over the benchmarked systems in terms of throughput,system,and response time.

Model of Security Evaluation of Infrastructure as a Service Layer of Cloud Computing System

At present,most providers of cloud computing mainly provide infrastructures and services of infrastructure as a service(IaaS).But there is a serious problem that is the lack of security standards and evaluation model of IaaS.After analyzing the vulnerabilities performance of IaaS cloud computing system,the mapping relationship was established between the vulnerabilities of IaaS and the nine threats of cloud computing which was released by cloud security alliance(CSA).According to the mapping relationship,a model for evaluating security of IaaS was proposed which verified the effectiveness of the model on OpenStack by the analytic hierarchy process(AHP) and the fuzzy evaluation method.

Cloud Computing as an Innovation in GIS &SDI: Methodologies, Services, Issues and Deployment Techniques

Cloud computing is one of the main issues of interest to the scientific community of the spatial data. A cloud is referred to computing infrastructure for a representation of network. From the perspective of providers, the main characteristics of cloud computing is being dynamic, high power in computing and storage. Also cloud computing is a cost benefit and effective way for representation of web-based spatial data and complex analysis. Furthermore, cloud computing is a way to facilitate distributed computing and store different data. One of the main features of cloud computing is ability in powerful computing and dynamic storage with an affordable expense and secure web. In this paper we further investigate the methodologies, services, issues and deployed techniques also, about situation of cloud computing in the past, present and future is probed and some issues concerning the security is expressed. Undoubtedly cloud computing is vital for spatial data infrastructure and consequently the cloud computing is able to expand the interactions for spatial data infrastructure in the future.

提供可信IaaS服务的云计算平台构建

为建立用户对云服务的信任,构建了一种提供可信基础设施即服务(IaaS)的云计算平台。针对虚拟化层Hypervisor的特点,为IaaS云计算平台构建信任链。采用顺序的加载时度量方式建立由可信根至GuestOS kernel的信任链。对于管理虚拟机上动态加载的应用软件,采用基于可信可执行程序列表的无序度量方式实现对应用程序的完整性度量,从而建立完整的信任链。设计协议允许用户将其虚拟机镜像与云计算平台的完整性绑定,保证用户虚拟机开启在可信的IaaS平台。基于Xen系统和Linux内核实现了度量机制。实验结果表明,该方案具有较小性能开销。

IaaS模式“云训练”资源预测-调度方法

基础设施即服务(infrastructure as a service,IaaS)模式"云训练"是基于IaaS云计算提出的武器装备系统模拟训练的模式,根据用户需求对训练资源进行预测调度是提高训练效果的重要保证。分析了"云训练"中用户任务、资源需求特点,采用阈值法进行预处理,通过动态权值系综模型得到预处理结果。在此基础上,提出基于减法-模糊聚类的模糊神经网络的资源需求预测方法(subtractive-fuzzy clustering based fuzzy neural network,SFCFNN),并引入自适应学习率和动量项以提升收敛速度和稳定性。调度器根据预测结果实现用户需求与资源之间的动态匹配。实验表明该方法可精确预测用户资源需求,实现资源动态调度,有效提高资源利用率与训练效果。

基于IaaS的网络靶场试验系统设计与实现

针对网络化信息系统安全性测试和评估需求,分析了国内外网络靶场技术现状,探讨了网络靶场试验系统构建原理和方法。结合基础设施即服务(IaaS)云计算技术,从系统顶层设计、物理结构、逻辑组成、运行架构和优化部署等方面,研究了网络靶场试验系统的实现技术,并通过一组试验从网络、计算和业务3个角度验证了靶场系统的性能,试验结果表明该系统实现的可行性。

IaaS环境可信证明方法研究

提出一种基于时间戳的基础设施即服务(IaaS)动态可信证明方法。通过对云节点进行实时的动态度量,并将度量结果与度量时间绑定,验证云节点的当前运行状态可信。基于该方法,结合IaaS的服务业务流程,设计云节点注册证明、虚拟机启动证明及虚拟机关闭证明等远程证明方法,证明用户虚拟机运行于状态可信的云节点上,同时保证虚拟机数据的完整性和机密性。

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.

基于IaaS的云计算基本性能测试标准与方法

针对IaaS云计算平台,提出一套尺度适中具有可操作性的性能测试标准;阐述云主机性能测试、云平台并发测试和云平台网络测试的指标与测试方法及云计算平台性能测试工作的研究方向。

虚拟化技术在智慧校园云服务平台IaaS 层中的应用

IaaS层是现代智慧校园云开服务平台建设的基础,对于现代智慧校园云服务平台建设具有重要的意义。而将虚拟化技术应用到智慧校园云服务平台的IaaS层中,则是提升平台运行可靠性和安全性的重要基础。本文对虚拟化技术及IaaS层概念展开研究,对虚拟化技术在智慧校园云服务平台IaaS层中应用的意义进行剖析,并对智慧校园云服务平台建设中的IaaS层的架构内容展开分析,以此为基础探究虚拟化技术在智慧校园云服务平台IaaS层中的应用。

IC Cloud: Enabling Compositional Cloud

Cloud computing has attracted great interest from both academic and industrial communities. Different paradigms, architectures and applications based on the concept of cloud have emerged. Although many of them have been quite successful, efforts are mainly focusing on the study and implementation of particular setups. However, a generic and more flexible solution for cloud construction is missing. In this paper, we present a composition-based approach for cloud computing （compositional cloud） using Imperial College Cloud （IC Cloud） as a demonstration example. Instead of studying a specific cloud computing system, our approach aims to enable a generic framework where wrious cloud computing architectures and implementation strategies can be systematically studied. With our approach, cloud computing providers/adopters are able to design and compose their own systems in a quick and flexible manner. Cloud computing systems will no longer be in fixed shapes but will be dynamic and adjustable according to the requirements of different application domains.

基于虚拟化技术的私有云APCS平台设计

为提高分布式管理信息系统的硬件资源利用率和运营维护管理效率,并为业务用户提供应用系统的按需使用服务,提出一种基于虚拟化技术的管理信息系统私有云APCS解决方案。通过云服务基础架构平台ACSIP建设,实现对底层硬件平台的整合利用,提高系统硬件资源利用率,保障业务应用系统的连续性,提供可动态配置的应用服务。使用云服务管理平台ACSMP建设,实现系统运行资源的动态分配管理、系统集中运维监控管理和安全管理。

OpenStack在新一代客票系统中的应用

介绍新一代客票系统采用OpenStack开源软件搭建云计算平台,实现客票系统资源统一部署、管理和维护的系统结构。

基于SLA的面向服务的基础设施

SOI/IaaS是指以服务的方式来提供基础设施的供给模型,它是云计算服务的重要基础,而SLA协议成为了SOI发展的助推器。介绍了SLA@SOI小组的研究工作,主要是SLA@SOI小组中SLA协议的基本思想和该小组提出的基于SLA的SOI框架,并总结了在该框架下管理基础设施的基本原理和基本过程。最后分析了该领域的未来发展方向。这项研究对云计算有着极为重要的意义。

基于ArcGIS的智慧广州时空云平台开发及应用

基于ArcGIS Enterprise、VMware vSphere、GIStack for manager、SmartBI等软件或工具,开发了智慧广州时空信息云平台,实现了基础设施即服务、数据即服务、功能即服务、接口即服务、知识即服务、地名址引擎、知识化引擎、业务流引擎、物联网引擎、服务引擎等功能,面向平台用户提供了高效、强大、便捷的功能服务。

基于Eucalyptus的基础设施即服务云框架协议设计

云计算中的基础设施即服务(IaaS)免去用户自主管理计算机硬件的麻烦,随时随地按需向用户提供计算和存储资源。Eucalyptus是一个被学术研究关注的开源IaaS实现,然而没有文献描述完整的利用Eucalyptus的所有模块来提供安全的基础设施服务。该文针对IaaS的安全需求,提出一个可信的IaaS框架。框架将基础设施服务提供过程细化为5个环节,并基于可信平台模块(TPM)设计相应安全协议实现这些环节。协议的设计过程严格遵守TPM的操作规范,并加入可信第三方以制约服务提供商的权力。协议的安全性均通过Scyther自动化分析工具的检测,从而保证整个框架满足IaaS的安全需求。

基于OpenStack云架构的尺度不变特征变换算法

在OpenStack计算架构基础上,部署并解决了尺度不变特征变换(SIFT)特征提取在单一计算节点中计算效率的低下的问题。在保持计算结果精度的前提下,降低了系统计算资源负载,对大量SIFT计算请求进行实现,通过Nova以及Swift项目实现动态规划计算节点和面向对象存储,保证了原算法计算的精度,同时降低20%以上的系统负载,达到预期效果。

国外图书馆应用IaaS的基本模式与经验教训

[目的 /意义]云环境下,很多行业和领域选择将服务器托管到云中,图书馆也不例外。目前,国外的很多图书馆已经开始应用Iaa S,并取得了一定的效果。通过分析国外图书馆应用Iaa S的模式和经验,为我国图书馆应用Iaa S提供借鉴。[方法 /过程]综合应用网站调研法和案例分析法,对应用Iaa S的国外图书馆进行分析,探讨其在服务功能、应用原因、实施过程、应用经验等方面的一系列问题。[结果 /结论]国外图书馆行业已经较为广泛地采用了Iaa S。我国图书馆应用Iaa S,一要准确分析本馆是否具备应用条件,二要选择合适的服务商,三要建立本馆化的应用流程,四要主动发现和有效应对实施过程中的问题。

IaaS云计算中虚拟机部署算法研究

针对基础设施即服务(IaaS)模式的云计算应用系统,以减少宿主机使用数量、提高宿主机资源利用率为优化目标,研究了虚拟机集合向宿主机集合部署算法.分析了虚拟机部署基本原则,提出了扩展降序最佳适应(EBFD)算法,该算法将宿主机和虚拟机资源量化、排序,并引入初始长度的概念.对比了EBFD算法和其他装箱算法的基本性能;针对虚拟机部署,将EBFD算法和已有虚拟机部署算法进行比较,结果表明EBFD算法有较好的调度效果.

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。