2013 IEEE 5th International Conference on Cloud Computing Technology and Science最新文献_第10页

Cloud and Computer Mediated Collaboration in the Early Architectural Design Stages: A Study of Early Design Stage Collaboration Related to BIM and the Cloud 建筑设计早期阶段的云与计算机协同:BIM与云相关的早期设计阶段协同研究

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.111

M. Leon, R. Laing

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引用次数: 8

Block Sampling: Efficient Accurate Online Aggregation in MapReduce 块采样:MapReduce中高效准确的在线聚合

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.40

Vasiliki Kalavri, V. Brundza, Vladimir Vlassov

{"title":"Block Sampling: Efficient Accurate Online Aggregation in MapReduce","authors":"Vasiliki Kalavri, V. Brundza, Vladimir Vlassov","doi":"10.1109/CloudCom.2013.40","DOIUrl":"https://doi.org/10.1109/CloudCom.2013.40","url":null,"abstract":"Large-scale data processing frameworks, such as Hadoop MapReduce, are widely used to analyze enormous amounts of data. However, processing is often time-consuming, preventing interactive analysis. One way to decrease response time is partial job execution, where an approximate, early result becomes available to the user, prior to job completion. The Hadoop Online Prototype (HOP) uses online aggregation to provide early results, by partially executing jobs on subsets of the input, using a simplistic progress metric. Due to its sequential nature, values are not objectively represented in the input subset, often resulting in poor approximations or \"data bias\". In this paper, we propose a block sampling technique for large-scale data processing, which can be used for fast and accurate partial job execution. Our implementation of the technique on top of HOP uniformly samples HDFS blocks and uses in-memory shuffling to reduce data bias. Our prototype significantly improves the accuracy of HOP's early results, while only introducing minimal overhead. We evaluate our technique using real-world datasets and applications and demonstrate that our system outperforms HOP in terms of accuracy. In particular, when estimating the average temperature of the studied dataset, our system provides high accuracy (less than 20% absolute error) after processing only 10% of the input, while HOP needs to process 70% of the input to yield comparable results.","PeriodicalId":198053,"journal":{"name":"2013 IEEE 5th International Conference on Cloud Computing Technology and Science","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2013-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116213813","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

Using Clouds for Smart City Applications 在智慧城市应用中使用云

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.137

Albino Altomare, Eugenio Cesario, C. Comito, F. Marozzo, D. Talia

引用次数: 7

Cross-Border Risk Factors of Cloud Services: Risk Assessment of IS Outsourcing to Foreign Cloud Service Providers 云服务跨境风险因素:国外云服务提供商信息系统外包风险评估

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.81

Patrick Lubbecke, T. Anton, R. Lackes

引用次数: 1

Maximizing Hypervisor Scalability Using Minimal Virtual Machines 使用最少的虚拟机最大化管理程序的可伸缩性

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.11

Alfred Bratterud, H. Haugerud

引用次数: 8

Synchronized Co-migration of Virtual Machines for IDS Offloading in Clouds 云环境下IDS卸载的虚拟机同步协同迁移

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.23

Kenichi Kourai, H. Utsunomiya

引用次数: 7

On the Security of Tenant Transactions in the Cloud 云计算中租户交易的安全性研究

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.76

V. Varadharajan, U. Tupakula

引用次数: 1

Improving MapReduce Performance by Streaming Input Data from Multiple Replicas 通过流式传输来自多个副本的输入数据来提高MapReduce性能

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.88

Jiadong Wu, Bo Hong

引用次数: 3

An SLA-Based Approach to Manage Sensor Networks as-a-Service 基于sla的传感器网络服务管理方法

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.33

V. Casola, Alessandra De Benedictis, M. Rak, G. Aversano, Umberto Villano

引用次数: 7

Smart Home: Integrating Internet of Things with Web Services and Cloud Computing 智能家居:将物联网与Web服务和云计算相结合

2013 IEEE 5th International Conference on Cloud Computing Technology and Science Pub Date : 2013-12-02 DOI: 10.1109/CloudCom.2013.155

Moataz Soliman, Tobi Abiodun, Tarek Hamouda, Jiehan Zhou, Chung-Horng Lung

引用次数: 247