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Financial Evaluation of SLA-based VM Scheduling Strategies for Cloud Federations 基于sla的云联盟虚拟机调度策略的财务评估
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069384
Andreas Kohne, Marcel Krüger, Marco Pfahlberg, O. Spinczyk, Lars Nagel
In recent years, cloud federations have gained popularity. Small as well as big cloud service providers (CSPs) join federations to reduce their costs, and also cloud management software like OpenStack offers support for federations. In a federation, individual CSPs cooperate such that they can move load to partner clouds at high peaks and possibly offer a wider range of services to their customers. Research in this area addresses the organization of such federations and strategies that CSPs can apply to increase their profit. In this paper we present the latest extensions to the FederatedCloudSim framework that considerably improve the simulation and evaluation of cloud federations. These simulations include service-level agreements (SLAs), scheduling and brokering strategies on various levels, the use of real-world cloud workload traces and a fine-grained financial evaluation using the new CloudAccount module. We use FederatedCloudSim to compare scheduling and brokering strategies on the federation level. Among them are new strategies that conduct auctions or consult a reliance factor to select an appropriate federated partner for running outsourced virtual machines. Our results show that choosing the right strategy has a significant impact on SLA compliance and revenue.
近年来,云联盟越来越受欢迎。小型和大型云服务提供商(csp)加入联盟以降低成本,像OpenStack这样的云管理软件也为联盟提供支持。在联盟中,各个csp进行合作,这样他们就可以在高峰时将负载转移到合作伙伴云,并可能为其客户提供更广泛的服务。在这一领域的研究解决了这些联盟的组织和战略,csp可以应用,以增加他们的利润。在本文中,我们介绍了FederatedCloudSim框架的最新扩展,这些扩展大大改进了云联盟的模拟和评估。这些模拟包括服务水平协议(sla)、各种级别上的调度和代理策略、真实云工作负载跟踪的使用,以及使用新的CloudAccount模块进行细粒度的财务评估。我们使用FederatedCloudSim来比较联邦级别上的调度和代理策略。其中包括进行拍卖或咨询依赖因素以选择运行外包虚拟机的适当联邦合作伙伴的新策略。我们的研究结果表明,选择正确的策略对SLA遵从性和收入有重大影响。
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引用次数: 2
Fe2vCl2: From Bare Metal to High Performance Computing on Virtual Clusters and Cloud Infrastructure Fe2vCl2:从裸机到虚拟集群和云基础设施上的高性能计算
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069386
Alexander Ditter, G. Graf, D. Fey
Container based virtualization techniques are playing a more and more important role in cloud and service oriented computing. Technologies, such as Docker, enable the development and deployment of new and especially light weight applications and allow for a more cloud provider independent operation. Even though cloud infrastructure and containers offer many advantages, both technologies have yet to be widely utilized in the field of High Performance Computing. In this paper we present Fe2vCl2, a framework for enabling HPC applications on common cloud infrastructure. Using Docker to integrate it into cloud environments, our framework allows the on-demand deployment of virtual clusters for the parallel execution of HPC applications. We describe our overall application architecture along with the advantages of both technologies, especially with regard to HPC applications. In order to verify our implementation we evaluate it using different HPC applications and benchmarks.
基于容器的虚拟化技术在云计算和面向服务的计算中发挥着越来越重要的作用。Docker等技术支持开发和部署新的轻量级应用程序,并允许更加独立于云提供商的操作。尽管云基础设施和容器提供了许多优势,但这两种技术尚未在高性能计算领域得到广泛应用。在本文中,我们介绍了Fe2vCl2,一个在公共云基础设施上启用HPC应用程序的框架。使用Docker将其集成到云环境中,我们的框架允许按需部署虚拟集群,以并行执行HPC应用程序。我们描述了我们的整体应用程序架构以及两种技术的优势,特别是关于HPC应用程序。为了验证我们的实现,我们使用不同的HPC应用程序和基准测试来评估它。
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引用次数: 2
Grouping Computational Data in Resource Caches of Edge-Fog Cloud 边缘雾云资源缓存中计算数据分组
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069391
Nitinder Mohan, Pengyuan Zhou, Keerthana Govindaraj, J. Kangasharju
Edge-Fog clouds provide an attractive platform for bringing data processing closer to its source in a networked environment. In this paper we extend our work on Edge-Fog clouds and to an industrial automation scenario, where we show how grouping of computational data in resource caches lowers network traffic and shortens application-experienced latency. Our preliminary results are promising and in our future work we plan to evaluate more realistic scenarios and apply the solutions in real industrial automation cases.
边缘雾云提供了一个有吸引力的平台,可以在网络环境中使数据处理更接近其来源。在本文中,我们将我们的工作扩展到边缘雾云和工业自动化场景,其中我们展示了如何将计算数据分组在资源缓存中降低网络流量并缩短应用程序体验的延迟。我们的初步结果是有希望的,在我们未来的工作中,我们计划评估更现实的场景,并将解决方案应用于实际的工业自动化案例。
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引用次数: 2
Towards an Adaptive Middleware for Efficient Multi-Cloud Data Storage 面向高效多云数据存储的自适应中间件
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069387
A. Rafique, D. Landuyt, Vincent Reniers, W. Joosen
A multi-cloud storage architecture combines different storage technologies and resources from multiple clouds. As it allows application providers to manage the risks associated to technology or vendor lock-in, provider reliability, data security, privacy, it is an increasingly popular tactic for designing the storage tier of cloud-based applications. Multi-cloud storage architectures are however prone to run-time dynamicity: many dynamic properties impact the way such a setup is governed and evolved over time, e.g., storage providers enter or leave the market; pricing policies, QoS metrics and SLA guarantees change over time; etc. This paper provides an in-depth discussion of this complexity, and sketches our architectural vision of self-adaptive middleware solutions that monitor and change the storage architecture (semi-)autonomously. We highlight two areas of ongoing and future research that deserve specific attention: (i) systematically monitoring the storage systems, despite heterogeneity, and (ii) providing uniform methods and techniques to change and control the different storage resources dynamically.
多云存储架构结合了来自多个云的不同存储技术和资源。由于它允许应用程序提供商管理与技术或供应商锁定、提供商可靠性、数据安全性和隐私相关的风险,因此它是设计基于云的应用程序的存储层的一种日益流行的策略。然而,多云存储架构容易出现运行时动态性:许多动态属性会影响这种设置的管理方式和随着时间的推移而演变,例如,存储提供商进入或离开市场;定价策略、QoS指标和SLA保证会随时间变化;等。本文对这种复杂性进行了深入的讨论,并概述了我们对自适应中间件解决方案的体系结构愿景,该解决方案可以(半)自主地监视和更改存储体系结构。我们强调了两个值得特别关注的正在进行的和未来的研究领域:(i)系统地监测存储系统,尽管存在异质性;(ii)提供统一的方法和技术来动态地改变和控制不同的存储资源。
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引用次数: 23
QoS-based Cloud Application Management: Approach and Architecture 基于qos的云应用管理:方法和架构
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069390
Vladimir Podolskiy, M. Gerndt, S. Benedict
The management of cloud infrastructures became a lot more difficult in course of last years due to the growing demand for high quality of cloud services. The lack of the ability to adapt the existing services to the dynamically changing demand from users' side yields problems of the quality of the provided services. In the poster, we present a novel decentralized architecture and approach for automatic cloud resources management under QoS requirements and budget constraints. The proposed architecture is aimed at dynamically adapting cloud application deployment on different levels of cloud infrastructure in order to meet QoS requirements and to reduce cost of cloud services.
由于对高质量云服务的需求不断增长,云基础设施的管理在过去几年中变得更加困难。由于缺乏使现有服务适应用户方面不断变化的需求的能力,所提供服务的质量出现了问题。在海报中,我们提出了一种新的分散架构和方法,用于在QoS要求和预算约束下自动管理云资源。提出的体系结构旨在动态调整云应用程序在不同级别云基础设施上的部署,以满足QoS要求并降低云服务成本。
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引用次数: 1
Securing combined Fog-to-Cloud system Through SDN Approach 通过SDN方式保护雾到云的组合系统
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069385
Sarang Kahvazadeh, Vitor Barbosa C. Souza, X. Masip-Bruin, E. Marín-Tordera, Jordi García, Rodrigo Díaz
Future IoT services execution may benefit from combining resources at cloud and at the edge. To that end, new architectures should be proposed to handle IoT services in a coordinated way at either the edge of the network, the cloud, or both. Reacting to that need, the Fog-to-Cloud concept has been recently proposed. A key aspect in the F2C design refers to security, since F2C raises security issues besides those yet unsolved in fog and cloud. Thus, we envision the need for new security strategies to handle all components in the F2C architecture. In this paper we propose an SDN-based (mater/slave) security architecture leveraging a centralized controller on the cloud, and distributed controllers at the edge of the network. We argue that the proposed architecture brings more security and privacy to the cloud users by reducing the distance between them and, therefore, reducing the risks of the so called man-in-the-middle attacks. The proposed security architecture is analyzed in some critical infrastructure scenarios in order to illustrate their potential benefits.
未来的物联网服务执行可能受益于云和边缘资源的组合。为此,应该提出新的架构,以便在网络边缘、云或两者之间以协调的方式处理物联网服务。针对这种需求,最近提出了“雾到云”的概念。F2C设计的一个关键方面是安全性,因为除了雾和云中尚未解决的问题之外,F2C还提出了安全问题。因此,我们设想需要新的安全策略来处理F2C架构中的所有组件。在本文中,我们提出了一种基于sdn(主/从)的安全架构,利用云上的集中式控制器和网络边缘的分布式控制器。我们认为,所提出的架构通过缩短云用户之间的距离,从而为云用户带来更多的安全性和隐私性,从而降低了所谓的中间人攻击的风险。本文在一些关键的基础设施场景中分析了所提出的安全体系结构,以说明其潜在的好处。
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引用次数: 33
Is today's DNS the right solution for middleboxes selection? 今天的DNS是中间框选择的正确解决方案吗?
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069389
Alessio Silvestro, R. Bifulco, Fabian Schneider, Xiaoming Fu, J. Kangasharju
In-network services, often implemented using middleboxes, are key components of today's network applications (e.g., CDN, antiviruses, proxies, etc.). Current solutions for the selection of a serving middebox assume the presence of a single middlebox on the end-to-end network path, leading to not optimal solutions in terms of network performance when multiple middleboxes are inserted i.e., multiple parties are involved. This paper highlights the cost of a non-optimized middlebox selection strategy and suggests directions for further investigation.
网络内服务通常使用中间件实现,是当今网络应用程序的关键组件(例如,CDN、反病毒、代理等)。当前用于选择服务中间盒的解决方案假设端到端网络路径上存在单个中间盒,这导致当插入多个中间盒时,即涉及多方时,就网络性能而言,解决方案不是最优的。本文强调了非优化中间盒选择策略的代价,并提出了进一步研究的方向。
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引用次数: 2
P3-Mobile: Parallel Computing for Mobile Edge-Clouds P3-Mobile:移动边缘云的并行计算
Pub Date : 2017-04-23 DOI: 10.1145/3069383.3069388
Joaquim Silva, Daniel Silva, Eduardo R. B. Marques, Luís M. B. Lopes, Fernando M A Silva
We address the problem of whether networks of mobile devices such as smartphones or tablets can be used to perform opportunistic, best-effort, parallel computations. We designed and implemented P3-Mobile, a parallel programming system for edge-clouds of Android devices to test the feasibility of this idea. P3-Mobile comes with a programming model that supports parallel computations over peer-to-peer overlays mapped onto mobile networks. The system performs automatic load-balancing by using the overlay to discover work. We present preliminary performance results for a parallel benchmark, using up to 16 devices, and discuss their implications towards future work.
我们解决的问题是,移动设备(如智能手机或平板电脑)的网络是否可以用于执行机会主义的、尽力而为的并行计算。我们设计并实现了面向Android设备边缘云的并行编程系统P3-Mobile来测试这一想法的可行性。P3-Mobile自带一个编程模型,该模型支持在映射到移动网络的点对点覆盖上进行并行计算。系统通过叠加发现工作,实现自动负载均衡。我们提出了一个并行基准测试的初步性能结果,使用多达16个设备,并讨论了它们对未来工作的影响。
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引用次数: 8
Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms 第四届跨云基础设施与平台研讨会论文集
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引用次数: 0
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Proceedings of the 4th Workshop on CrossCloud Infrastructures & Platforms
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