2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)最新文献_第4页

Improving Data Governance in Large Organizations through Ontology and Linked Data 通过本体和关联数据改善大型组织的数据治理

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.47

R. DeStefano, Lixin Tao, Keke Gai

{"title":"Improving Data Governance in Large Organizations through Ontology and Linked Data","authors":"R. DeStefano, Lixin Tao, Keke Gai","doi":"10.1109/CSCloud.2016.47","DOIUrl":"https://doi.org/10.1109/CSCloud.2016.47","url":null,"abstract":"In the past decade, the role of data has increased exponentially from something that is queried or reported on, to becoming a true corporate asset. The same time period has also seen marked growth in corporate structural complexity. This combination has lead to information management challenges, as the data moving across a multitude of systems lends itself to a higher likelihood of impacting dependent processes and systems, should something go wrong or be changed. Many enterprise data projects are faced with low success rates and consequently subject to high amounts of scrutiny as senior leadership struggles to identify return on investment. While there are many tools and methods to increase a companies' ability to govern data, this research is based on the premise that you can not govern what you do not know. This lack of awareness of the corporate data landscape impacts the ability to govern data, which in turn impacts overall data quality within organizations. This paper seeks to propose a tools and techniques for companies to better gain an awareness of the landscape of their data, processes, and organizational attributes through the use of linked data, via the Resource Description Framework (RDF) and ontology. The outcome of adopting such techniques is an increased level of data awareness within the organization, resulting in improved ability to govern corporate data assets, and in turn increased data quality.","PeriodicalId":410477,"journal":{"name":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122556802","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: 29

Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing 云计算中移动异构嵌入式系统的能量感知优化任务分配

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.48

Keke Gai, Meikang Qiu, Hui Zhao, Meiqin Liu

{"title":"Energy-Aware Optimal Task Assignment for Mobile Heterogeneous Embedded Systems in Cloud Computing","authors":"Keke Gai, Meikang Qiu, Hui Zhao, Meiqin Liu","doi":"10.1109/CSCloud.2016.48","DOIUrl":"https://doi.org/10.1109/CSCloud.2016.48","url":null,"abstract":"Recent quick expansions of mobile heterogeneous embedded systems have led to a remarkable hardware upgrade that support multiple core processors. The energy consumption is becoming greater along with the computation capacity grows. Cloud computing is considered one of the solutions to mitigating energy costs. However, the simply offloading the computations to the remote side cannot efficiently reduce the energy consumptions when the energy costs caused by wireless communications are greater than it is on mobile devices. In this paper, we focus on the problem of energy wastes when tasks are assigned to remote cloud servers or heterogeneous core processors. Our solution aims to minimize the total energy cost of the mobile heterogeneous embedded systems by using an optimal task assignment to heterogeneous cores and mobile clouds. The propose model is named as Energy-Aware Heterogeneous Resource Management Model (EA-HRM2), which is supported by a main algorithm Optimal Heterogeneous Task Assignment (OHTA) algorithm. Our experimental evaluations have proved our approach is effective to save energy when deploying heterogenous embedded systems in mobile cloud systems.","PeriodicalId":410477,"journal":{"name":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131252118","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

Shortest Processing Time First Algorithm for Hadoop Hadoop的最短处理时间优先算法

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.12

Laurent Bobelin, P. Martineau, Di Zhao, Haiwu He

引用次数: 3

Controlling a Car Through OBD Injection 通过OBD喷射控制汽车

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.42

Yu Zhang, Binbin Ge, Xiang Li, Bin Shi, Bo Li

引用次数: 15

Cyber Security, a Threat to Cyber Banking in South Africa: An Approach to Network and Application Security 网络安全，对南非网络银行的威胁:网络和应用安全的途径

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.18

Thierry Mbah Mbelli, B. Dwolatzky

引用次数: 21

A Correctness Verification Method for C Programs Based on VCC 一种基于VCC的C程序正确性验证方法

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.30

Hongliang Liang, Daijie Zhang, Xiaoxiao Pei, Xiaodong Jia, Guangyuan Li, Jiuyun Xu

引用次数: 1

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint SLA约束下基于强化学习的云计算混合作业调度方案

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.16

Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin

引用次数: 20

A New Block-Based Data Distribution Mechanism in Cloud Computing 云计算中一种新的基于块的数据分发机制

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.25

Chandrima Dadi, P. Yi, Zongming Fei, Hui Lu

引用次数: 3

Scalable Fog Computing with Service Offloading in Bus Networks 总线网络中具有服务分流的可扩展雾计算

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-25 DOI: 10.1109/CSCloud.2016.34

Dongdong Ye, Maoqiang Wu, Shensheng Tang, Rong Yu

引用次数: 70

A Semantic Approach to Intelligent and Personal Tutoring System 智能个性化辅导系统的语义化研究

2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) Pub Date : 2016-06-01 DOI: 10.1109/CSCloud.2016.50

Maria Sette, Lixin Tao, Keke Gai, Ning Jiang

{"title":"A Semantic Approach to Intelligent and Personal Tutoring System","authors":"Maria Sette, Lixin Tao, Keke Gai, Ning Jiang","doi":"10.1109/CSCloud.2016.50","DOIUrl":"https://doi.org/10.1109/CSCloud.2016.50","url":null,"abstract":"Cyberlearning is challenged by the lack of personal and assessment-driven learning, and students are often puzzled by the lack of instructor guidance and feedback, the huge volume and diversity of the learning materials, and thelack of the ability to zoom in from the general concepts to the more specific ones, or the opposite. Intelligent tutoring systems are needed to improve the cyberlearning quality. One of the major difficulties is knowledge representation. The current industry standard is to use Web Ontology Language (OWL) for representing knowledge structure. But OWL only supports one \"first-class\" relation, \"is-a\", between the concepts, and different knowledge areas usually need different custom relations to describe the relations among the concepts. For example \"part-of\" and time dependency are important relations torepresent most engineering knowledge bodies. OWL has to use object properties to emulate such custom relations, leading to awkward knowledge representation hard for domain experts to code, validate and use such knowledge bases. This research uses Pace University's extension to OWL, named Knowledge Graph (KG), to support knowledge representation with custom relations. The instructors can use Pace University extended Protege IDE to declare and apply custom relations in a single document. The instructor teaching experience is also coded in the KG to better support custom learning order by students with different backgrounds. The prototype of a knowledge-driven tutoring system was designed and implemented to illustrate how the KG supports integrated assessments, using assessment results to custom student learning order or material, and let the students freely navigate in the knowledge space from general to specific or the opposite, and following various custom relations. A web technology tutorial is used to validate the design and effectiveness of this approach.","PeriodicalId":410477,"journal":{"name":"2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114368330","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: 7