2015 International Conference on Cloud Technologies and Applications (CloudTech)最新文献

A conceptual framework for personalization of mobile cloud services 移动云服务个性化的概念框架

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-11-30 DOI: 10.1109/CLOUDTECH.2015.7336992

E. Badidi, Hayat Routaib

引用次数: 1

Big Data-as-a-service solution for building graph social networks 构建图形社交网络的大数据即服务解决方案

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-11-30 DOI: 10.1109/CLOUDTECH.2015.7337009

Siham Yousfi, D. Chiadmi

{"title":"Big Data-as-a-service solution for building graph social networks","authors":"Siham Yousfi, D. Chiadmi","doi":"10.1109/CLOUDTECH.2015.7337009","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337009","url":null,"abstract":"Big Data analytics and Cloud Computing are the new trending that submerged the IT industry. In fact, Big Data technology is providing methods and tools for storing managing and analyzing a large amount of data, and cloud computing provides IT services in a scalable way via internet to a number of clients at low costs. While big data environment requires powerful cluster infrastructure, new ideas about combining this two paradigms were born to enhance business agility and productivity and enable greater efficiencies and reduce costs. Big data as-a-service (BDAAS) refers to common big data services provided as cloud hosted services. These services are intended to provide Big Data features in the cloud. The objective of our research is to describe a BDAAS solution based on Hadoop ecosystem that extracts data from social network and constructs a graph that could be used later for further analysis. As a prototype, we built a graph representing the feeling of a citizen toward a particular deputy. The analysis of the resulting graph will allow citizens and political parties identifying the most popular deputy by analyzing the most significant node.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117240310","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

Security challenges in intrusion detection 入侵检测中的安全挑战

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-11-30 DOI: 10.1109/CLOUDTECH.2015.7337012

Mohammed Jouad, S. Diouani, H. Houmani, Ali Zaki

引用次数: 13

Data extraction for user profile management based on behavior 基于行为的用户配置文件管理数据提取

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7336972

C. Loubna, Ezziyyani Mostafa, E. Annas, H. Mohammed

{"title":"Data extraction for user profile management based on behavior","authors":"C. Loubna, Ezziyyani Mostafa, E. Annas, H. Mohammed","doi":"10.1109/CLOUDTECH.2015.7336972","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336972","url":null,"abstract":"Despite the large and spectacular development in the field of vehicle safety, particularly in the context of driver safety needs, solutions remain insufficient and independent. In this paper, we propose a new system that has been dubbed 3SD \"Security and Surveillance System for Drivers\". It is a multifunction system as a complete package based on intelligent sensors and cameras that constantly monitor the vehicle's environment and the behavior of the driver to detect early so potentially dangerous situations. In critical driving situations, these systems alert and actively help the driver; if necessary, they automatically intervene to prevent or mitigate the consequences of an accident. The package proposed includes an application comprising a set of pre-registered drivers in a specialized social network interconnected to a geolocation server for distributed real-time sharing of information and data useful for security and traffic. The system is founded mainly on learning systems for face recognition based on advanced algorithms “Viola and Jones method” and “PCA method” as well as management of drivers profiles based on preferences to provide the following features: early detection of sleep, unconsciousness and poor driver behavior, security against theft of vehicles, driver comfort and control and sharing of traffic information in real time between the conductors.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123587110","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

Combining multi-agent systems and MDE approach for monitoring SLA violations in the Cloud Computing 结合多代理系统和MDE方法监测云计算中的SLA违规

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7336975

A. Maarouf, Mahmoud El Hamlaoui, A. Marzouk, A. Haqiq

{"title":"Combining multi-agent systems and MDE approach for monitoring SLA violations in the Cloud Computing","authors":"A. Maarouf, Mahmoud El Hamlaoui, A. Marzouk, A. Haqiq","doi":"10.1109/CLOUDTECH.2015.7336975","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336975","url":null,"abstract":"A Service Level Agreement (SLA) is a legal contract between parties to ensure the Quality of Service (QoS). It specifies one or more service level objectives (SLO), to ensure that the QoS delivered has met customer expectations. However, It becomes hard to guarantee QoS levels and detect SLA violations. Therefore, we propose to use MDE (Model Driven Engineering) to express the SLA contract requirements. This latter, created with a specific modeling language (DSML), will be used harmonically with a Multi-agent systems (MASs) in order to monitor SLA violations in real-time. Indeed, MASs are suitable tools for self-detection of failures and self-monitoring of cloud operations and services, QoS negotiation and SLA management. They are designed to operate in a dynamically changing environment. Our main motivation is firstly to use MDE technology for the creation of the SLA contract and then to integrate MASs in order to control the quality of service contract and guarantee transparency and symmetry with respect to the SLA contract between prospective signatories.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125532797","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

Big data open platform for water resources management 水资源管理大数据开放平台

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7336964

Ridouane. Chalh, Z. Bakkoury, D. Ouazar, M. Hasnaoui

{"title":"Big data open platform for water resources management","authors":"Ridouane. Chalh, Z. Bakkoury, D. Ouazar, M. Hasnaoui","doi":"10.1109/CLOUDTECH.2015.7336964","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336964","url":null,"abstract":"Nowadays Big Data are becoming a popular topic and a comparatively new technological concept focused on many different disciplines like environmental science, social media and networks, industry and healthcare. Data volumes are on an upward trajectory associated with increased data velocity, and variety. Furthermore, they are needed to develop effective solutions to support intelligent, proactive and predictive processes. In this paper we exploit Big Data concepts for environmental sciences and water resources. The aim of this article is to present the concept and architecture of our Big Data Open Platform used for supporting Water Resources Management. This Platform has been designed to provide effective tools that allow water system managers to solve complex water resources systems, water modeling issues and help in decision making. The Platform brings a variety of information technology tools including stochastic aspects, high performance computing, simulation models, hydraulic and hydrological models, grid computing, decision tools, Big Data analysis system, communication and diffusion system, database management, geographic information system (GIS) and Knowledge based expert system. The operators' objectives of this Big Data Open Platform are to solve and discuss water resources problems that are featured by a huge volume of collected, analyzed and visualized data, to analyze the heterogeneity of data resulting from various sources including structured, unstructured and semi-structured data, also to prevent and/or avoid a catastrophic event related to floods and/or droughts, through hydraulic infrastructures designed for such purposes or strategic planning. This first paper will focus on the first part developed and based on J2EE platform and specifically the hypsometrical approach considered as a decision tool allowing users to compare the effects of different current and future management scenarios and make choice to preserve the environment and natural resources.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121887627","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: 21

Malicious virtual machines detection through a clustering approach 通过集群方法检测恶意虚拟机

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7336986

Mohammad-Mahdi Bazm, R. Khatoun, Y. Begriche, L. Khoukhi, Xiuzhen Chen, A. Serhrouchni

引用次数: 10

A cloud-based architecture for transactional services adaptation 用于事务服务适配的基于云的体系结构

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7336966

Widad Ettazi, H. Hafiddi, M. Nassar, S. Ebersold

{"title":"A cloud-based architecture for transactional services adaptation","authors":"Widad Ettazi, H. Hafiddi, M. Nassar, S. Ebersold","doi":"10.1109/CLOUDTECH.2015.7336966","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7336966","url":null,"abstract":"Advances in wireless communications and mobility have increased the use of smart mobile applications. As a result of the remarkable increase of mobile devices and the pervasive wireless networks, a large number of mobile users are requiring personalization services customized to their context. The mobile cloud-computing paradigm from a context-aware perspective aims to find effective ways to make cloud services aware of the context of their customers and applications. Another major challenge for context-aware cloud services is to exploit the benefits of cloud computing to manage transaction processing throughout the life cycle of a service. In this paper, we focused on the need of loosely coupled context-supporting components that work with a transaction-aware service infrastructure to adapt services to the context of the user and his mobile device. We propose a cloud-based middleware for transactional service adaptation (CM4TSA) by adding the “Adaptation as a Service” layer into basic cloud architecture, to perform the correct execution of transactional service according to the user context.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"158 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132335158","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

A SCA based model for resolving syntactic heterogeneity among clouds 一个基于SCA的模型，用于解决云之间的语法异构性

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7337000

Meriem Thabet, M. Boufaida

引用次数: 0

From Big Data to Big Knowledge: The art of making Big Data alive 从大数据到大知识:让大数据活起来的艺术

2015 International Conference on Cloud Technologies and Applications (CloudTech) Pub Date : 2015-06-02 DOI: 10.1109/CLOUDTECH.2015.7337001

Meryeme El Houari, Maryem Rhanoui, B. El Asri

{"title":"From Big Data to Big Knowledge: The art of making Big Data alive","authors":"Meryeme El Houari, Maryem Rhanoui, B. El Asri","doi":"10.1109/CLOUDTECH.2015.7337001","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2015.7337001","url":null,"abstract":"Nowadays Big Data becomes one of the biggest buzz concepts in IT world especially with the vertiginous development driving the increase of data encouraged by the emergence of high technologies of storage like cloud computing. Big Data can create efficient challenging solutions in health, security, government and more; and usher in a new era of analytics and decisions. Knowledge Management comprises a set of strategies and practices used to identify, create, represent, distribute, and enable creating experience that can constitute a real immaterial capital. However, to bring significant meaning to the perpetual tsunami of data and manage them, Big Data needs Knowledge Management. In the same way, to broaden the scope of its targeted analyzes, Knowledge Management requires Big Data. Thus, there is a complementary relation between these two major concepts. This paper presents a state of art where we try to explore Big Data within the context of Knowledge Management. We discuss the bi-directional relationship linking this two fundamental concepts and their strategic utility in making analytics valuable especially with the combination of their interactions which create an effective Big Knowledge to build experience.","PeriodicalId":293168,"journal":{"name":"2015 International Conference on Cloud Technologies and Applications (CloudTech)","volume":"359 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115899461","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