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2014 IEEE International Conference on Cloud Engineering最新文献

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Migrating a Digital Library to a Private Cloud 将数字图书馆迁移到私有云
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.77
Jian Wu, Pradeep B. Teregowda, Kyle Williams, Madian Khabsa, Douglas Jordan, E. Treece, Zhaohui Wu, C. Lee Giles
{"title":"Migrating a Digital Library to a Private Cloud","authors":"Jian Wu, Pradeep B. Teregowda, Kyle Williams, Madian Khabsa, Douglas Jordan, E. Treece, Zhaohui Wu, C. Lee Giles","doi":"10.1109/IC2E.2014.77","DOIUrl":"https://doi.org/10.1109/IC2E.2014.77","url":null,"abstract":"A private cloud deployment of an infrastructure as a service (IaaS) cluster is a cost effective solution to many small and intermediate digital libraries and maybe companies. As a working online digital library search engine, the physical infrastructure of CiteSeerX represents many of the clusters for a typical digital library in terms of size and functionalities. CiteSeerX used to run on a cluster consisting of eighteen loosely coupled physical machines. In this work we share the experiences and lessons learned through migrating CiteSeerX into a private cloud environment using virtualization technique. We also discuss alternative solutions including a public cloud deployment using Amazon EC2 and EBS services. We found that the private cloud via virtualization is a better model for a digital library system like CiteSeerX. We also report system status, activities and proposed variations after the new system has been running for over half a year.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124231560","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: 10
How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload 6年后你的工作量会是怎样的?分析维基媒体的工作量
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.50
A. Ali-Eldin, A. Rezaie, Amardeep Mehta, Stanislav Razroev, S. S. Luna, O. Seleznjev, Johan Tordsson, E. Elmroth
{"title":"How will Your Workload Look Like in 6 Years? Analyzing Wikimedia's Workload","authors":"A. Ali-Eldin, A. Rezaie, Amardeep Mehta, Stanislav Razroev, S. S. Luna, O. Seleznjev, Johan Tordsson, E. Elmroth","doi":"10.1109/IC2E.2014.50","DOIUrl":"https://doi.org/10.1109/IC2E.2014.50","url":null,"abstract":"Accurate understanding of workloads is key to efficient cloud resource management as well as to the design of large-scale applications. We analyze and model the workload of Wikipedia, one of the world's largest web sites. With descriptive statistics, time-series analysis, and polynomial splines, we study the trend and seasonality of the workload, its evolution over the years, and also investigate patterns in page popularity. Our results indicate that the workload is highly predictable with a strong seasonality. Our short term prediction algorithm is able to predict the workload with a Mean Absolute Percentage Error of around 2%.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122414538","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: 39
Audio Classification with Thermodynamic Criteria 基于热力学标准的音频分类
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.23
Rita Singh
{"title":"Audio Classification with Thermodynamic Criteria","authors":"Rita Singh","doi":"10.1109/IC2E.2014.23","DOIUrl":"https://doi.org/10.1109/IC2E.2014.23","url":null,"abstract":"Detecting sound events in audio recordings is a challenging problem. A detector must be trained for each sound to be classified. However, the recordings of the examples used to train the detector rarely match the conditions found in the test audio to be classified. If the event detection problem is posed as one of Bayes classification, the problem may be viewed as one of mismatch between the true distribution of the data and that represented by the classifier. The Bayes classification rule results in suboptimal performance under such mismatch, and a modified classification rule is required. Alternately stated, the classification rule must optimize a different objective criterion than the Bayes error rate computed from the training distributions. The use of entropy as an optimization criterion for various classification tasks has been well established in the literature. In this paper we show that free-energy, a thermodynamic concept directly related to entropy, can also be used as an objective criterion for classification in such scenarios. We demonstrate with examples on classification with HMMs that minimization of free-energy is an effective criterion for classification under conditions of mismatch.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127104295","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: 2
Game Theoretic Dynamic Spectrum Access in Cloud-Based Cognitive Radio Networks 基于云的认知无线电网络中的博弈论动态频谱接入
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.16
D. Rawat, S. Shetty, Khurram Raza
{"title":"Game Theoretic Dynamic Spectrum Access in Cloud-Based Cognitive Radio Networks","authors":"D. Rawat, S. Shetty, Khurram Raza","doi":"10.1109/IC2E.2014.16","DOIUrl":"https://doi.org/10.1109/IC2E.2014.16","url":null,"abstract":"Radio Frequency (RF) resource allocation in a Cognitive Radio Network (CRN) is considerably constrained by its limited power, memory and computational capacity. With the emergence of cloud computing platforms, CRN has the potential to mitigate these constraints by leveraging the vast storage and computational capacity. In this paper, we proposed a game theoretic approach for resource allocation in cloud-base cognitive radio network. The proposed algorithm leverages the geolocation of secondary users and idle licensed bands to facilitate dynamic spectrum access to secondary users. Furthermore, the active secondary users adapt their transmit power using game theoretic approach in distributed manner based on the network condition in terms of estimated average packet error rate while satisfying the Quality-of-Service (QoS) in terms of signal-to-interference-plus-noise ratio. To control greedy secondary users in distributed power control game, we introduce a manager through a Stackelberg power adaptation game. Simulation results are presented to demonstrate the performance of the proposed radio resource management algorithm.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128687047","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
Enabling A Load Adaptive Distributed Stream Processing Platform on Synchronized Clusters 在同步集群上启用负载自适应分布式流处理平台
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.87
Xing Wu, Yan Liu
{"title":"Enabling A Load Adaptive Distributed Stream Processing Platform on Synchronized Clusters","authors":"Xing Wu, Yan Liu","doi":"10.1109/IC2E.2014.87","DOIUrl":"https://doi.org/10.1109/IC2E.2014.87","url":null,"abstract":"Distributed stream processing (DSP) platforms enable simplified development of applications that can process continuous unbounded streams of data at a high speed. Leveraging large scale cluster management frameworks, DSP can scale to analyze data in real-time with different types of operators, each running on a cluster node. The scalability and resource utilization depend on the allocation of operators on clusters. Since the data volume and rate can be unpredictable, static mapping between operators and cluster resources results in unbalanced operator load distribution. This paper proposes a software layer that is load-adaptive between a DSP platform and clusters. It allows dynamic transferring of an operator to different cluster nodes at runtime and keeps the process transparent to developers. We present a prototype implemented on Yahoo's S4. Our implementation is evaluated by a top-N topic list application on Twitter streams. The results demonstrate improved stream processing throughputs and cluster resource utilization.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130797085","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
Experiences with Cost and Utility Trade-offs on IaaS Clouds, Grids, and On-Premise Resources 在IaaS云、网格和内部部署资源上的成本和效用权衡经验
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-11 DOI: 10.1109/IC2E.2014.51
T. Passerini, Jaroslaw Slawinski, U. Villa, V. Sunderam
{"title":"Experiences with Cost and Utility Trade-offs on IaaS Clouds, Grids, and On-Premise Resources","authors":"T. Passerini, Jaroslaw Slawinski, U. Villa, V. Sunderam","doi":"10.1109/IC2E.2014.51","DOIUrl":"https://doi.org/10.1109/IC2E.2014.51","url":null,"abstract":"Cloud computing is now a mainstream technology in many application domains and user constituencies. For scientific high-performance applications in academic and research settings however, the trade-offs between cost and elasticity on the one hand, and performance and access on the other, is not always clear. We discuss our experiences with comparing cost and utility for a hemodynamics computational fluid dynamics code on three typical platform-types available to researchers: IaaS clouds, grids, and on-premise local resources. To rank the tested platforms, we introduce a simple utility function describing the value of a completed computational task to the user as a function of the wait time and the cost of the computation. Our results suggest that IaaS clouds can be a convenient choice for the considered class of CFD simulations, providing a valuable trade-off between cost and task completion time.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131262739","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
Virtual-to-Physical Mapping Inference in Virtualized Cloud Environments 虚拟化云环境下的虚拟物理映射推理
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-01 DOI: 10.1109/IC2E.2014.93
Yang Song, R. Routray, Rakesh Jain
{"title":"Virtual-to-Physical Mapping Inference in Virtualized Cloud Environments","authors":"Yang Song, R. Routray, Rakesh Jain","doi":"10.1109/IC2E.2014.93","DOIUrl":"https://doi.org/10.1109/IC2E.2014.93","url":null,"abstract":"Virtualization is a double-edged sword in large scale cloud computing environments. On one hand, virtualization provides a logical and unified view of the underlying cloud resources to facilitate more efficient resource utilization and to support multi-tenancy. On the other hand, virtualization introduces additional layers of indirections which make the virtual-to-physical resource mapping relationship obscure, or prohibitively costly to unveil, especially with multiple layers of virtualization at presence, e.g., server virtualization, network virtualization, and storage virtualization. In this work, we propose a virtual-to-physical mapping inference framework by analyzing the I/O activities of inputs and outputs of the virtualization layer. Using a virtualized storage example, we show that our lightweight solution can unveil the virtual-to-physical resource mapping relationship in a non-intrusive fashion, which can be used in many cloud management tasks such as root cause analysis and diagnosis.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122598780","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: 3
Usage Control in Cloud Federations 云联盟中的使用控制
2014 IEEE International Conference on Cloud Engineering Pub Date : 2014-03-01 DOI: 10.1109/IC2E.2014.58
G. Anastasi, E. Carlini, M. Coppola, Patrizio Dazzi, A. Lazouski, F. Martinelli, Gaetano Mancini, P. Mori
{"title":"Usage Control in Cloud Federations","authors":"G. Anastasi, E. Carlini, M. Coppola, Patrizio Dazzi, A. Lazouski, F. Martinelli, Gaetano Mancini, P. Mori","doi":"10.1109/IC2E.2014.58","DOIUrl":"https://doi.org/10.1109/IC2E.2014.58","url":null,"abstract":"Cloud Federation is a promising approach to enhance cross-cloud application execution. Nevertheless, such approach emphasizes open challenges in Cloud Computing, such as revoking long-lasting authorization on resources as soon as conditions granting the access right are no longer valid. To tackle this kind of issues, we built a prototype of Cloud Federation that leverages the concept of Usage Control (UCON), by continuously monitoring and reassessing the users right on resources. We exploited an extension of the XACML standard and measured the overhead caused by different security policies and distributions of requests. Results suggest that the UCON model can be effectively applied in Cloud Federations and its performance is sustainable when applied to the relevant actions of the lifecycle of applications.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116919602","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
Parallel Hierarchical Affinity Propagation with MapReduce 基于MapReduce的并行层次关联传播
2014 IEEE International Conference on Cloud Engineering Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.97
D. Rose, J. Rouly, Rana Haber, N. Mijatovic, A. Peter
{"title":"Parallel Hierarchical Affinity Propagation with MapReduce","authors":"D. Rose, J. Rouly, Rana Haber, N. Mijatovic, A. Peter","doi":"10.1109/CloudCom.2013.97","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.97","url":null,"abstract":"The accelerated evolution and explosion of the Internet and social media is generating voluminous quantities of data (on zettabyte scales). Paramount amongst the desires to manipulate and extract actionable intelligence from vast big data volumes is the need for scalable, performance-conscious analytics algorithms. To directly address this need, we propose a novel MapReduce implementation of the exemplar-based clustering algorithm known as Affinity Propagation. Our parallelization strategy extends to the multilevel Hierarchical Affinity Propagation algorithm and enables tiered aggregation of unstructured data with minimal free parameters, in principle requiring only a similarity measure between data points. We detail the linear run-time complexity of our approach, overcoming the limiting quadratic complexity of the original algorithm. Experimental validation of our clustering methodology on a variety of synthetic and real data sets (e.g. images and point data) demonstrates our competitiveness against other state-of-the-art MapReduce clustering techniques.","PeriodicalId":273902,"journal":{"name":"2014 IEEE International Conference on Cloud Engineering","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133062957","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: 1
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