2014 IEEE 38th International Computer Software and Applications Conference Workshops最新文献_第2页

Mobile Pediatric Consultation and Monitoring System through Semantic Web Technology 基于语义Web技术的移动儿科会诊监测系统

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.61

D. Çelik, Atilla Elçi, Ridvan Akcicek, Bora Gokce, Pelin Hurcan

{"title":"Mobile Pediatric Consultation and Monitoring System through Semantic Web Technology","authors":"D. Çelik, Atilla Elçi, Ridvan Akcicek, Bora Gokce, Pelin Hurcan","doi":"10.1109/COMPSACW.2014.61","DOIUrl":"https://doi.org/10.1109/COMPSACW.2014.61","url":null,"abstract":"Health is a popular aspect of eHealth applications that is starting to explode exponentially. The use of technology offering solutions with a potential of making patients' lives easier in the health sector has gradually increased with mHealth. Technology has great bearing in the health sector in order to increase the efficiency to serve patients by helping to diagnose ailments reliably. Mobile systems help observation of child patients in their treatment process and the collection of health data on the course. Therefore, people will be more aware of their children's health problems and preventive measures in accordance with those health problems. This article is on Mobile Pediatric Consultation and Monitoring System (mPCMS). Details of design and operation are given in this article. Mpcms not only will assist doctors but also help patients in decision making process of the medical treatment due to the information's ease use. Accordingly, with mPCMS, there will be a contribution to distant consultation by the doctor and the family by collecting the health data before and after the treatment of child patients.","PeriodicalId":123335,"journal":{"name":"2014 IEEE 38th International Computer Software and Applications Conference Workshops","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124141713","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

The Application of Internet of Things in Social Network 物联网在社交网络中的应用

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.41

Yu Zhang, Jiangtao Wen, Fan Mo

引用次数: 6

Identifying Evolution Problems for Large Long Term Industrial Evolution Systems 识别大型长期产业演化系统的演化问题

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.66

Daniel Hallmans, Marcus Jägemar, S. Larsson, Thomas Nolte

{"title":"Identifying Evolution Problems for Large Long Term Industrial Evolution Systems","authors":"Daniel Hallmans, Marcus Jägemar, S. Larsson, Thomas Nolte","doi":"10.1109/COMPSACW.2014.66","DOIUrl":"https://doi.org/10.1109/COMPSACW.2014.66","url":null,"abstract":"Large infrastructure systems with a life time of more than 30 years, such as telecommunication or power transmission systems, are difficult to maintain since they suffer from the end-of-life plague of software, hardware and knowledge. Large companies have traditionally tackled this problem successfully, but maybe not with complete efficiency in all cases. We find system evolution to be an increasingly interesting problem as infrastructure becomes more complicated. Our increasingly complex and advanced society demands more of the infrastructure making system evolution an interesting alternative to system replacement. From the point of view of the ISO/IEC 15288 development process we have identified life cycle issues connected to long life time scenarios and the different life cycle stages. In this paper we contribute with a modification of the utilisation and support stage in ISO/IEC 15288 into an evolution stage where a system is not only retired and replaced but rather evolved into the next generation. Using this approach changes the view of system development for this specific type of systems towards a way of incremental development, where new functions can be added at the same time as old legacy parts are replaced with functionally equivalent modules based on new hardware. We have based our solution on the experience from investigations of life cycle issues for two large infrastructure systems.","PeriodicalId":123335,"journal":{"name":"2014 IEEE 38th International Computer Software and Applications Conference Workshops","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129966374","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

Measuring Prediction Sensitivity of a Cloud Auto-scaling System 云自动缩放系统预测灵敏度的测量

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.116

A. Nikravesh, S. Ajila, Chung-Horng Lung

{"title":"Measuring Prediction Sensitivity of a Cloud Auto-scaling System","authors":"A. Nikravesh, S. Ajila, Chung-Horng Lung","doi":"10.1109/COMPSACW.2014.116","DOIUrl":"https://doi.org/10.1109/COMPSACW.2014.116","url":null,"abstract":"Elasticity is one of the key benefits of cloud computing which helps customers reduce the cost. Although elasticity is beneficiary in terms of cost, obligation of maintaining Service Level Agreements leads to necessity in dealing with the cost-performance trade-off. Proactive auto-scaling is an efficient approach to overcome this problem. In this approach scaling actions are generated based on prediction results. Recently, several research studies have been focusing on improving prediction accuracy in order to improve the efficiency of auto-scaling mechanisms. However, the sensitivity of auto-scaling mechanisms to the prediction results is neglected in the domain. In this work we have investigated the sensitivity of auto-scaling mechanisms to the prediction results by evaluating the influence of performance predictions accuracy on the auto-scaling actions. Specifically, we have compared actions of threshold based scaling techniques which are generated based on Support Vector Machine (SVM) and Neural Networks (NN) predictions. Our experimental results show that although SVM is more accurate than NN, scaling decisions made by the two algorithms are identical in 91.5% of the time. Furthermore, we have shown that the optimal training duration for SVM and NN is about 60% of experiment duration.","PeriodicalId":123335,"journal":{"name":"2014 IEEE 38th International Computer Software and Applications Conference Workshops","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132451981","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: 23

A Mobility Management System for the Global Live Migration of Virtual Machine across Multiple Sites 虚拟机跨多站点实时迁移的移动性管理系统

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.16

T. Kondo, R. Aibara, Kazufumi Suga, Kaori Maeda

{"title":"A Mobility Management System for the Global Live Migration of Virtual Machine across Multiple Sites","authors":"T. Kondo, R. Aibara, Kazufumi Suga, Kaori Maeda","doi":"10.1109/COMPSACW.2014.16","DOIUrl":"https://doi.org/10.1109/COMPSACW.2014.16","url":null,"abstract":"With rapid spread of virtualization technologies, Live migration which provides the ability to migrate a running virtual machine (VM) among physical hosts without interruption. Especially, Global Live Migration (GLM) which enables to migrate VM across the geographically-distributed Wide Area Networks (WANs) is an essential step towards development of the inter-cloud environment. However, GLM gets a bit complicated for network configuration compared with ordinary live migration. We have already proposed the GLM method which implements IP mobility support architecture with multiple interfaces to enable live migration among distributed sites consisting of different IP network segments. However, there is no sufficient consideration about the management of smooth handoff for the VM migration on the Internet. In this paper, we propose a mobility management system for GLM, and integrate into our developed nation-wide virtualization infrastructure. The proposed system enables VMs seamless handoff without any modification of the hypervisor while keeping network configuration of the migrating site. Performance evaluation shows the processing overhead of the proposed management system with GLM among multiple sites which are more than 600 km distant. As a result, we confirm that the proposed system provides smooth handoff for the VM on the widely-distributed environment if the proposed system is implemented.","PeriodicalId":123335,"journal":{"name":"2014 IEEE 38th International Computer Software and Applications Conference Workshops","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132077211","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: 12

Dynamic Random Testing with Parameter Adjustment 具有参数调整的动态随机测试

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.10

Zijiang Yang, Beibei Yin, Junpeng Lv, K. Cai, S. Yau, Jia Yu

引用次数: 11

Bayesian Model Averaging of Bayesian Network Classifiers for Intrusion Detection 入侵检测中贝叶斯网络分类器的贝叶斯模型平均

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.25

Liyuan Xiao, Yetian Chen, Carl K. Chang

{"title":"Bayesian Model Averaging of Bayesian Network Classifiers for Intrusion Detection","authors":"Liyuan Xiao, Yetian Chen, Carl K. Chang","doi":"10.1109/COMPSACW.2014.25","DOIUrl":"https://doi.org/10.1109/COMPSACW.2014.25","url":null,"abstract":"Bayesian network (BN) classifiers with powerful reasoning capabilities have been increasingly utilized to detect intrusion with reasonable accuracy and efficiency. However, existing BN classifiers for intrusion detection suffer two problems. First, such BN classifiers are often trained from data using heuristic methods that usually select suboptimal models. Second, the classifiers are trained using very large datasets which may be time consuming to obtain in practice. When the size of training dataset is small, the performance of a single BN classifier is significantly reduced due to its inability to represent the whole probability distribution. To alleviate these problems, we build a Bayesian classifier by Bayesian Model Averaging(BMA) over the k-best BN classifiers, called Bayesian Network Model Averaging (BNMA) classifier. We train and evaluate BNMA classifier on the NSL-KDD dataset, which is less redundant, thus more judicial than the commonly used KDD Cup 99 dataset. We show that the BNMA classifier performs significantly better in terms of detection accuracy than the Naive Bayes classifier and the BN classifier built with heuristic method. We also show that the BNMA classifier trained using a smaller dataset outperforms two other classifiers trained using a larger dataset. This also implies that the BNMA is beneficial in accelerating the detection process due to its less dependance on the potentially prolonged process of collecting large training datasets.","PeriodicalId":123335,"journal":{"name":"2014 IEEE 38th International Computer Software and Applications Conference Workshops","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125625271","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: 59

Static Code Analysis for Software Security Verification: Problems and Approaches 软件安全验证的静态代码分析:问题与方法

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.22

Zeineb Zhioua, S. Short, Y. Roudier

引用次数: 28

Fair Optimization -- Methodological Foundations of Fairness in Network Resource Allocation 公平优化——网络资源分配公平的方法论基础

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.11

W. Ogryczak

引用次数: 15

Risk Measure Propagation through Organisational Network 风险度量在组织网络中的传播

2014 IEEE 38th International Computer Software and Applications Conference Workshops Pub Date : 2014-07-21 DOI: 10.1109/COMPSACW.2014.40

Luba Shabnam, Farzana Haque, Moshiur Bhuiyan, A. Krishna

引用次数: 11