2015 IEEE 4th International Conference on Cloud Networking (CloudNet)最新文献

Data integrity protection through security monitoring for just-in-time news feeds 通过安全监控实时新闻源来保护数据完整性

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335303

Abdulrahman Althobaiti, P. Calyam, R. Akella, P. Vallabhaneni

{"title":"Data integrity protection through security monitoring for just-in-time news feeds","authors":"Abdulrahman Althobaiti, P. Calyam, R. Akella, P. Vallabhaneni","doi":"10.1109/CloudNet.2015.7335303","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335303","url":null,"abstract":"There has recently been a major shift in news related media consumption trends and readers are increasingly relying on just-in-time news feeds versus the traditional newspaper print medium. Cloud-networked infrastructures are being setup by the media companies to aggregate news feeds from affiliates, and to meet the elastic demands of Internet-scale users accessing news feeds. However, cyber attacks could compromise these just-in-time news feed services and hackers could particularly launch data integrity as well as denial-of-service attacks that: (a) tarnish the reputation of media companies and (b) impact the service availability for users. In this paper, we describe data integrity and availability checking techniques to protect just-in-time news feed services against cyber attacks in use cases such as: (a) “Data-in-Motion” - when obtaining just-in-time news feeds (e.g., RSS feeds) from affiliates and (b) “Data-at-Rest” - when compiled news feeds reside within cloud-networked infrastructure for real-time premium subscriber access. Using concepts of distributed trust and anomaly detection and a realistic testbed environment in the DeterLab infrastructure, we show the impact of the different cyber attacks and propose solutions to defend against them.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129615015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Mobile Telecom Cloud brokerage with orchestrated multi-tier resource pooling 移动电信云经纪与编排的多层资源池

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335297

S. Y. Vaezpour, Kui Wu, G. Shoja

{"title":"Mobile Telecom Cloud brokerage with orchestrated multi-tier resource pooling","authors":"S. Y. Vaezpour, Kui Wu, G. Shoja","doi":"10.1109/CloudNet.2015.7335297","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335297","url":null,"abstract":"Mobile Telecom Cloud (MTC) refers to cloud services provided by mobile telecommunication companies. Since mobile network operators support the last-mile Internet access to users, they have advantages over other cloud providers by providing users with better mobile connectivity and required quality of service (QoS). Compared to other third-party cloud (TPC) providers such as Amazon and Google, however, MTC providers usually have a much smaller scale of computing resources. This paper presents an approach for MTC providers to take advantage of both MTC and TPC so that they can offer better and cheaper cloud services to their customers. The opportunity comes from the discounts that TPC normally offers to group buyers as well as the better QoS that MTC can support. Our solution is to allow MTC providers to act as a brokerage, called MTC brokerage, to broker TPC cloud resources and integrate the resources reserved from TPC with those of their own MTC. We address the technical challenges of optimally allocating users' cloud requests to MTC and TPC data centres to meet users' QoS requirement with minimum cost. We also study the price range that can be profitable to a MTC brokerage. We then investigate the resource reservation problem with dynamic request changes. We evaluate our solution using real Google traces collected over a 29-day period from a Google cluster. The results show that our solution results in cost savings for both MTC providers and their customers.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121539379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Ant colony optimization based energy efficient virtual network embedding 基于蚁群优化的节能虚拟网络嵌入

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335321

Xinjie Guan, Xili Wan, Baek-Young Choi, Sejun Song

引用次数: 4

AXaaS (Acceleration as a service): Can the Telecom Service Provider rent a cloudlet? AXaaS(加速即服务):电信服务提供商可以租用云吗?

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335314

N. Powers, T. Soyata

{"title":"AXaaS (Acceleration as a service): Can the Telecom Service Provider rent a cloudlet?","authors":"N. Powers, T. Soyata","doi":"10.1109/CloudNet.2015.7335314","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335314","url":null,"abstract":"As the capabilities of smartphones expand, so do consumers' expectations for resource-intensive mobile applications. However, mobile devices are ill-suited to execute most these applications due to their hardware limitations. Computational offloading offers a way to augment mobile computation power, but it introduces a communication latency, potentially weakening or negating its advantages. To meet the user demand for high performance, we propose a new service architecture called Acceleration as a Service (AXaaS). We formulate AXaaS based on the observation that most resource-intensive applications, such as real-time face-recognition and augmented reality, have similar resource-demand characteristics: a vast majority of the program execution time is spent on a limited set of library calls, such as Generalized Matrix-Multiply operations (GEMM), or FFT. Our AXaaS model suggests accelerating only these operations by the Telecom Service Providers (TSP). We envision the TSP offering this service through a monthly computational service charge, much like their existing monthly bandwidth charge. We demonstrate the technological and business feasibility of AXaaS on a proof-of-concept real-time face recognition application.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132482138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Application and network performance of Amazon elastic compute cloud instances 亚马逊弹性计算云实例的应用和网络性能

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335328

Mehrin Gilani, Catherine Inibhunu, Q. Mahmoud

引用次数: 12

A network model for prediction of temperature distribution in data centers 数据中心温度分布预测的网络模型

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335319

Shinya Tashiro, Yuya Tarutani, G. Hasegawa, Yutaka Nakamura, Kazuhiro Matsuda, Morito Matsuoka

{"title":"A network model for prediction of temperature distribution in data centers","authors":"Shinya Tashiro, Yuya Tarutani, G. Hasegawa, Yutaka Nakamura, Kazuhiro Matsuda, Morito Matsuoka","doi":"10.1109/CloudNet.2015.7335319","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335319","url":null,"abstract":"We propose a novel network model for real-time prediction of temperature distribution in a data center so as to allow energy-efficient task assignment and facility management. We model various physical relationships in the data center as a network, including heat movements caused by airflow and heat generation by servers. Since changes in temperature distribution depend on physical properties of the data center such as equipment locations and server types, model parameters (connection weights in the network) that characterize relationship of nodes are determined by a machine learning technique using actual data center operation data. The proposed method provides prediction results in a shorter time than traditional methods such as model based on computational fluid dynamics and potential flow model, while maintaining prediction accuracy. We evaluate the performance of the proposed model through comparison with actual data from our experimental data center. The evaluation indicates that the proposed model can predict 10-minute future temperature distributions in 60 places in 3.3 ms, with a root mean square error of 0.49 degrees.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132290300","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Context aware resource allocation and scheduling for mobile cloud 移动云环境感知资源分配和调度

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335282

Hager Ghouma, M. Jaseemuddin

引用次数: 11

Phantom of the cloud: Towards improved cloud availability and dependability 云的幻影:改进云的可用性和可靠性

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335273

Ben Hadley, Allison Hume, Rick Lindberg, K. Obraczka

{"title":"Phantom of the cloud: Towards improved cloud availability and dependability","authors":"Ben Hadley, Allison Hume, Rick Lindberg, K. Obraczka","doi":"10.1109/CloudNet.2015.7335273","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335273","url":null,"abstract":"Ensuring the availability and elasticity of Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) cloud environments is both critical and challenging for providers and consumers of these services. Automatic load balancing and failure recovery services are commonly offered by IaaS and PaaS providers to help achieve these goals. In this paper, we present Phantom: a failure simulation, monitoring, and profiling framework whose main goal is to ensure adequate dependability and availability of cloud subsystems. Phantom utilizes failure simulation to “perturb” the cloud during normal operating times, while monitoring and profiling service availability as perceived by the end user. Unlike traditional cloud monitoring systems, Phantom is an “active meta-monitor” that can detect degradation of the cloud's own failure detector and recovery systems. We describe Phantom's main contributions, i.e., (1) Havoc, an extensible cloud failure simulator, and (2) a meta-monitor and analytic method for continuously profiling failure detector and recovery service quality. We demonstrate Phantom's sensitivity to service degradation through a variety of experiments conducted on an open cloud platform.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115895120","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Large-scale hybrid electronic/optical switching networks for datacenters and HPC systems 用于数据中心和高性能计算系统的大规模混合电子/光交换网络

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335288

Jingyan Wang, Sohini Basu, C. McArdle, L. Barry

引用次数: 8

RAS: Reliable auto-scaling of virtual machines in multi-tenant cloud networks RAS:在多租户云网络中可靠的虚拟机自动伸缩

2015 IEEE 4th International Conference on Cloud Networking (CloudNet) Pub Date : 2015-11-23 DOI: 10.1109/CloudNet.2015.7335271

Sara Ayoubi, Yanhong Zhang, C. Assi

{"title":"RAS: Reliable auto-scaling of virtual machines in multi-tenant cloud networks","authors":"Sara Ayoubi, Yanhong Zhang, C. Assi","doi":"10.1109/CloudNet.2015.7335271","DOIUrl":"https://doi.org/10.1109/CloudNet.2015.7335271","url":null,"abstract":"This paper addresses the problem of auto-scaling cloud services (tenants) in a failure prone cloud data center network. Auto-scaling enables existing tenants to modify their services or service availability, for example, to meet market demand fluctuations or to prepare for high-traffic events and scheduled load changes. Cloud operators, in response, need to accommodate such requests by provisioning additional resources or reconfiguring current ones. This manuscript shows that such a decision problem, in addition to being combinatorially complex, is not intuitive, highlighting several tradeoffs between disruption times due to service migration and resource redundancy to achieve higher service availability. We present RAS, an availability-aware auto-scaling scheme for managing Virtual Network (VN) scaling requests. RAS provides a robust adaptive approach for managing requests change over time while maintaining their availability requirement. Our numerical results prove that our suggested approach harnesses the benefits of migration and redundancy to achieve an adaptive scaling technique that outperforms migration or redundancy oblivious techniques.","PeriodicalId":188772,"journal":{"name":"2015 IEEE 4th International Conference on Cloud Networking (CloudNet)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8