2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)最新文献_第3页

Virtual network embedding with collocation: Benefits and limitations of pre-clustering 带配置的虚拟网络嵌入:预聚类的优点与局限性

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710562

Carlo Fuerst, S. Schmid, A. Feldmann

{"title":"Virtual network embedding with collocation: Benefits and limitations of pre-clustering","authors":"Carlo Fuerst, S. Schmid, A. Feldmann","doi":"10.1109/CloudNet.2013.6710562","DOIUrl":"https://doi.org/10.1109/CloudNet.2013.6710562","url":null,"abstract":"Given that mechanisms for resource isolation are in place, the collocation of virtual network (VNet) nodes is attractive as it reduces the inter-machine communication and hence improves the VNet embedding. However, existing VNet embedding algorithms either do not support the collocation of virtual nodes of the same VNet, or only support it implicitly by referring to the possibility to pre-cluster the VNet topology: this pre-clustered network forms the new VNet request and is embedded accordingly. This paper presents a pre-clustering algorithm OPTCUT that is optimal in the sense that it minimizes the amount of link resources needed for the embedding. It is based on a smart linear program formulation that ensures fast solutions. OPTCUT can be used together with any existing VNet embedding algorithms, and we show that it can greatly improve the state-of-the-art embedding algorithm SecondNet [16]. The paper also describes a simple algorithm LoCo that directly supports collocation. This algorithm is part of a novel and generic VNet embedding framework METATREE which may be of independent interest. We compare the performance of the pre-clustering approaches with the direct VNet embeddings by LoCo, and find that preclustering also has its limitations. In particular, the information gap between the pre-clustering and the actual algorithm, as well as an inaccurate estimation of the distribution of remaining substrate resources, may lead to a low network utilization.","PeriodicalId":262262,"journal":{"name":"2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130949739","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: 25

Towards software defined ICN based edge-cloud services 迈向基于软件定义ICN的边缘云服务

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710583

R. Ravindran, Xuan Liu, A. Chakraborti, Xinwen Zhang, Guoqiang Wang

引用次数: 60

Performance vs cost for windows and linux platforms in Windows Azure cloud windows Azure云中windows和linux平台的性能与成本

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710581

S. Ristov, M. Gusev

引用次数: 9

Autonomic scaling of Cloud Computing resources using BN-based prediction models 使用基于bn的预测模型的云计算资源的自主缩放

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710578

A. Bashar

{"title":"Autonomic scaling of Cloud Computing resources using BN-based prediction models","authors":"A. Bashar","doi":"10.1109/CloudNet.2013.6710578","DOIUrl":"https://doi.org/10.1109/CloudNet.2013.6710578","url":null,"abstract":"The recent surge in the popularity and usage of Cloud Computing services by both the enterprise and individual consumers has necessitated efficient and proactive management of data center resources which host services having varied characteristics. One of the major issues concerning both the cloud service providers and consumers is the automatic scalability of resources (i.e., compute, storage and bandwidth) in response to the highly unpredictable demands. To this end, an opportunity exists to harness the predictive and diagnostic capabilities of machine learning approaches to incorporate dynamic scaling up and scaling down of resources without violating the Service Level Agreements (SLA) and simultaneously ensuring adequate revenue to the providers. This paper proposes, implements and evaluates a Bayesian Networks based predictive modeling framework to provide for an autonomic scaling of utility computing resources in the Cloud Computing scenario. In essence, the BN-based model captures the historical behavior of the system involving various performance metrics (indicators) and predicts the desired unknown metric (e.g. SLA parameter). Initial simulated experiments involving random demand scenarios provide insights into the feasibility and applicability of the proposed approach for improving the management of present data center facilities.","PeriodicalId":262262,"journal":{"name":"2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114577765","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: 38

Classification of applications in HTTP tunnels HTTP隧道中的应用分类

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710559

Gajen Piraisoody, Changcheng Huang, B. Nandy, N. Seddigh

{"title":"Classification of applications in HTTP tunnels","authors":"Gajen Piraisoody, Changcheng Huang, B. Nandy, N. Seddigh","doi":"10.1109/CloudNet.2013.6710559","DOIUrl":"https://doi.org/10.1109/CloudNet.2013.6710559","url":null,"abstract":"Accurate traffic classification is an essential element of emergent cloud and datacenter architectures. Increasingly, however, different types of application traffic from the cloud are tunnelled over HTTP, thereby making accurate classification a challenge. Applications tunnelled over HTTP are wide in scope and diverse in nature, and include mapping, email, video, image, audio and file. This paper presents a novel approach for the accurate and effective classification of the dominant types of HTTP tunnelled applications, namely video, audio and file-transfer. The classification is carried out using information that is only available from flow-based protocols such as NetFlow v5. The proposed scheme is tested on live data traffic in a small enterprise network with a realistic mixture of regular HTTP and non-HTTP traffic. Outsourcing enterprise networks to cloud is a major cloud application. For the scenarios tested, the proposed algorithm accurately classifies at least 70% of the HTTP tunnelled traffic, and in some cases, up to 90%. In comparison to the results from approaches based on NaiveBayes algorithm and Support-Vector-Machine, the proposed scheme outperforms them by at least 10% as per performance measures.","PeriodicalId":262262,"journal":{"name":"2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122396459","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: 6

Vulnerability evaluation for securely offloading mobile apps in the cloud 安全卸载云端移动应用的漏洞评估

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710564

He Zhu, Changcheng Huang, James Yan

引用次数: 8

A Software defined Cloud-Gateway automation system using OpenFlow 一个使用OpenFlow的软件定义云网关自动化系统

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710582

S. Natarajan, A. Ramaiah, Mayan Mathen

{"title":"A Software defined Cloud-Gateway automation system using OpenFlow","authors":"S. Natarajan, A. Ramaiah, Mayan Mathen","doi":"10.1109/CloudNet.2013.6710582","DOIUrl":"https://doi.org/10.1109/CloudNet.2013.6710582","url":null,"abstract":"The notion of programming the forwarding device using an open protocol is a key feature of Software-defined Networks (SDN). This improves network visibility and control thereby reducing vendor dependency. OpenFlow protocol provides a standardized approach to realize these goals of SDN. In this paper, we illustrate our progress with a Software-defined Cloud-Gateway automation system using OpenFlow. In addition, based on our deployment experience, we highlight two technical challenges when using OpenFlow. First, with the standardization being an evolving effort, we highlight some of the programming challenges and missing features within the OpenFlow protocol. Secondly, existing OpenFlow-based network stack lacks some architectural components that reduces the level of flexibility we achieve when programming the network. Most SDN controllers expose limited abstractions to build network applications thereby primarily functioning as an OpenFlow driver. This imposes an application programmer to work with several OpenFlow primitives. To address this problem, we elaborate our current work in extending the SDN stack to improve our overall network programmability experience.","PeriodicalId":262262,"journal":{"name":"2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)","volume":"9 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132836951","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: 18

New control plane in 3GPP LTE/EPC architecture for on-demand connectivity service 3GPP LTE/EPC架构中的新控制平面，用于按需连接服务

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710579

S. B. H. Said, Malla Reddy Sama, K. Guillouard, L. Suciu, G. Simon, X. Lagrange, J. Bonnin

引用次数: 84

A comparative study of applying real-time encryption in cloud computing environments 云计算环境下实时加密应用的比较研究

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710575

Faraz Fatemi Moghaddam, Omidreza Karimi, Maen T. Alrashdan

{"title":"A comparative study of applying real-time encryption in cloud computing environments","authors":"Faraz Fatemi Moghaddam, Omidreza Karimi, Maen T. Alrashdan","doi":"10.1109/CloudNet.2013.6710575","DOIUrl":"https://doi.org/10.1109/CloudNet.2013.6710575","url":null,"abstract":"The rapid growth of cloud computing as a newfound technology and many unclear security issues in it cause many challenges. These challenges are specified in service provider's cloud servers and transmission processes. Accordingly, this paper presents a model based on separate data and key cloud servers and a client-based data encryption service for increasing the reliability in cloud computing environments. In the proposed model, the key generation process is done in a separate cloud application and public and private keys are stored in key cloud servers. Moreover, the encryption and decryption processes are done in client side by a service that named “data encryption service”. For applying this encryption system a comparative study was done by analyzing the strengths and weaknesses of six popular asymmetric key encryption algorithms (i.e. Original RSA, RSA Small-e, RSA Small-d, MREA, E-RSA, and EAMRSA) according to time, key size and security parameters. These algorithms were briefly described and redeveloped in the same situation for the simulation process to investigate the performance in client-based data encryption service. Furthermore, the security analysis was done by reviewing the performance of described algorithms against three popular attacks: Brute Force, Mathematical, and Timing Attack. According to the results E-RSA in the most appropriate algorithm for using in client-based data encryption service by achieving acceleration, accuracy, and security in this service based on compatibility issues in a client side service.","PeriodicalId":262262,"journal":{"name":"2013 IEEE 2nd International Conference on Cloud Networking (CloudNet)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132719706","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: 33

Service-oriented trust and reputation management system for multi-tier cloud 面向服务的多层云信任信誉管理系统

2013 IEEE 2nd International Conference on Cloud Networking (CloudNet) Pub Date : 2013-11-01 DOI: 10.1109/CloudNet.2013.6710574

H. Nicanfar, S. Amiri, Chunsheng Zhu, Peyman TalebiFard, Victor C. M. Leung, P. Nasiopoulos

引用次数: 3