2014 IEEE 8th International Symposium on Service Oriented System Engineering最新文献_第6页

A Description and Retrieval Model for Web Services Including Extended Semantic and Commercial Attributes 包含扩展语义和商业属性的Web服务描述与检索模型

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.34

Jonas Keppeler, Philipp Brune, Heiko Gewald

引用次数: 12

Elastic Allocator: An Adaptive Task Scheduler for Streaming Query in the Cloud 弹性分配器:用于云中流查询的自适应任务调度器

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.40

Zheng Han, Rui Chu, Haibo Mi, Huaimin Wang

{"title":"Elastic Allocator: An Adaptive Task Scheduler for Streaming Query in the Cloud","authors":"Zheng Han, Rui Chu, Haibo Mi, Huaimin Wang","doi":"10.1109/SOSE.2014.40","DOIUrl":"https://doi.org/10.1109/SOSE.2014.40","url":null,"abstract":"Many big data applications receive and process data in real time. These data, also known as data streams, are generated continuously and processed online in a low latency manner. Data stream is prone to change dramatically in volume, since its workload may have a variation of several orders between peak and valley periods. Fully provisioning resources for stream processing to handle the peak load is costly, while over-provisioning is wasteful when to deal with lightweight workload. Cloud computing emphasizes that resource should be utilized economically and elastically. An open question is how to allocate query task adaptively to keeping up the input rate of the data stream. Previous work focuses on using either local or global capacity information to improve the cluster CPU resource utilization, while the bandwidth utilization which is also critical to the system throughput is ignored or simplified. In this paper, we formalize the operator placement problem considering both the CPU and bandwidth usage, and introduce the Elastic Allocator. The Elastic Allocator uses a quantitative method to evaluate a node's capacity and bandwidth usage, and exploit both the local and global resource information to allocate the query task in a graceful manner to achieve high resource utilization. The experimental results and a simple prototype built on top of Storm finally demonstrate that Elastic Allocator is adaptive and feasible in cloud computing environment, and has an advantage of improving and balancing system resource utilization.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132397525","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

A PCA-Based Traffic Monitoring Approach for Distributed Computing Systems 基于pca的分布式计算系统流量监控方法

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.38

Li Zhao, Ge Fu, Qian Liu, Xinran Liu, Wei Cao

{"title":"A PCA-Based Traffic Monitoring Approach for Distributed Computing Systems","authors":"Li Zhao, Ge Fu, Qian Liu, Xinran Liu, Wei Cao","doi":"10.1109/SOSE.2014.38","DOIUrl":"https://doi.org/10.1109/SOSE.2014.38","url":null,"abstract":"Monitoring traffics between applications deployed in a distributed computing system (DCS) can help analyzers perceive the dynamic load of each application, and detect the anomalies in all the running processes. However, due to the factors of high dimension and strong periodicity, the traffic data is difficult to visualize and interpret. In this paper, we propose a traffic monitoring approach based on Principal Component Analysis (PCA) which is a classical dimension-reduction tool. We find that the first PC represents the overall scale of the traffic while the second PC reflects all nontrivial variations caused by different applications. Then we locate the exact alteration time and identify the very changing applications by a semi-Bayes algorithm on the second PC. We further perform online anomaly detection on new traffics utilizing the previously classified data. Experiments on datasets collected from several distributed computing systems including 44 applications show the proposed approach can effectively facilitate DSC traffic monitoring, and outperforms Kmeans and DBSCAN in identifying different system states.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131897393","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

Customizing Scientific Data Analytic Platforms via SaaS Approach 通过SaaS方法定制科学数据分析平台

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.73

Wenjun Wu, Chao Jin

{"title":"Customizing Scientific Data Analytic Platforms via SaaS Approach","authors":"Wenjun Wu, Chao Jin","doi":"10.1109/SOSE.2014.73","DOIUrl":"https://doi.org/10.1109/SOSE.2014.73","url":null,"abstract":"At the era of data driven science discovery, it is essential to provide customizable scientific data analytic platforms for researchers to conduct their personalized data intensive analysis. Science Gateway has been a viable solution to enabling scientists to run scientific simulations, data analysis, and visualization through their web browsers. But most science gateway frameworks are designed for integrating commonly used software tools and datasets in a specific science domain, thus requiring significant effort to implement the essential variability in lab-specific data processing workflows. In this paper we introduce a multitenancy architecture (MTA) based customization framework that can greatly accelerate the customization cycle of science gateway systems. Each tenant has his own workspace that assembles the software stack and tools to meet the software requirements of his specific data analytics tasks. Through this framework, developers can import their domain-specific analysis pipeline scripts and mashup relevant templates including GUI templates, tool recipes and workspace templates to generate both workspace and web interface for running these application workflows and visualizing the output from workflow executions without writing extra wrapping code.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133291605","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

A Service Oriented Architecture for Linked Data Integration 面向服务的关联数据集成体系结构

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.30

Pierre De Vettor, M. Mrissa, D. Benslimane, Salim Berbar

引用次数: 4

HLA-Based SaaS-Oriented Simulation Frameworks 基于hla的面向saas的仿真框架

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.74

Wei Xiong, W. Tsai

引用次数: 8

Identifying Malicious Metering Data in Advanced Metering Infrastructure 识别高级计量基础设施中的恶意计量数据

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.75

Euijin Choo, Younghee Park, Huzefa Siyamwala

{"title":"Identifying Malicious Metering Data in Advanced Metering Infrastructure","authors":"Euijin Choo, Younghee Park, Huzefa Siyamwala","doi":"10.1109/SOSE.2014.75","DOIUrl":"https://doi.org/10.1109/SOSE.2014.75","url":null,"abstract":"Advanced Metering Infrastructure (AMI) has evolved to measure and control energy usage in communicating through metering devices. However, the development of the AMI network brings with it security issues, including the increasingly serious risk of malware in the new emerging network. Malware is often embedded in the data payloads of legitimate metering data. It is difficult to detect malware in metering devices, which are resource constrained embedded systems, during time-critical communications. This paper describes a method in order to distinguish malware-bearing traffic and legitimate metering data using a disassembler and statistical analysis. Based on the discovered unique characteristic of each data type, the proposed method detects malicious metering data. (i.e. malware-bearing data). The analysis of data payloads is statistically performed while investigating a distribution of instructions in traffic by using a disassembler. Doing so demonstrates that the distribution of instructions in metering data is significantly different from that in malware-bearing data. The proposed approach successfully identifies the two different types of data with complete accuracy, with 0% false positives and 0% false negatives.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442525","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

A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction 基于位置的Web服务QoS预测的层次矩阵分解方法

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.41

Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu

{"title":"A Hierarchical Matrix Factorization Approach for Location-Based Web Service QoS Prediction","authors":"Pinjia He, Jieming Zhu, Jianlong Xu, Michael R. Lyu","doi":"10.1109/SOSE.2014.41","DOIUrl":"https://doi.org/10.1109/SOSE.2014.41","url":null,"abstract":"With the rapid growth of population of service-oriented architecture (SOA), services are playing an important role in software development process. One major issue we should consider about Web services is to dig out the one with the best QoS value among all functionally-equivalent candidates. However, since there are a great number of missing QoS values in real world invocation records, we can hardly do a detailed comparison among those selectable Web services. To address this problem, we propose a location-based hierarchical matrix factorization method to make efficient and accurate QoS prediction. In our method, we consider both global context and local information. We first apply matrix factorization (MF) on global user-service records and obtain a global prediction matrix. After that, we use MF to predict QoS values on some user-service groups, which are clustered by K-means algorithm. Then we combine global and local predicted QoS values to provide our final prediction. Extensive experiments show the effectiveness of our hierarchical approach which outperforms other popular methods.","PeriodicalId":360538,"journal":{"name":"2014 IEEE 8th International Symposium on Service Oriented System Engineering","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122469502","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

CITY FEED: A Crowdsourcing System for City Governance 城市饲料:城市治理的众包系统

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.64

G. Motta, Linlin You, D. Sacco, Tianyi Ma

引用次数: 22

A New Code Obfuscation Scheme for Software Protection 一种新的软件保护代码混淆方案

2014 IEEE 8th International Symposium on Service Oriented System Engineering Pub Date : 2014-04-07 DOI: 10.1109/SOSE.2014.57

Aniket Kulkarni, Ravindra Metta

引用次数: 15