Pub Date : 2016-05-24DOI: 10.1109/CLOUDTECH.2016.7847718
Youssef Seraoui, M. Bellafkih, B. Raouyane
Because of the rapid growth of the number of mobile user requests and media files on demand, system performance could be negatively impacted and the management of different sorts of media files becomes costly and increasingly difficult. In this article we propose an innovative architecture combining the IP Multimedia Subsystem (IMS) platform and the Hadoop system for use in the distributed storage of IMS service resources and for the purposes of the computing service that is proposed in this work for responding to mobile end-users' needs in terms of mobile computing through the IMS network. As a result, we obtain a controllable Hadoop-based data center for telecommunications service providers. Moreover, for the proposed computing service, MapReduce analysis is also used to create new revenues and improve the IMS computing capabilities. In this article, we present a high-performance and scalable distributed storage and computing system for IMS services through different scenarios of service provisioning, storing and computing processes. Via experiments, the system performance is determined. Furthermore, the experimental results prove the system availability and scalability by sharing out more distributed resources for further IMS services using Hadoop Distributed File System (HDFS), YARN, and the Hadoop distributed cache mechanism. The proposed architecture in addition considerably minimizes response time, maximizes throughput and server utilization gets improved.
{"title":"A high-performance and scalable distributed storage and computing system for IMS services","authors":"Youssef Seraoui, M. Bellafkih, B. Raouyane","doi":"10.1109/CLOUDTECH.2016.7847718","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847718","url":null,"abstract":"Because of the rapid growth of the number of mobile user requests and media files on demand, system performance could be negatively impacted and the management of different sorts of media files becomes costly and increasingly difficult. In this article we propose an innovative architecture combining the IP Multimedia Subsystem (IMS) platform and the Hadoop system for use in the distributed storage of IMS service resources and for the purposes of the computing service that is proposed in this work for responding to mobile end-users' needs in terms of mobile computing through the IMS network. As a result, we obtain a controllable Hadoop-based data center for telecommunications service providers. Moreover, for the proposed computing service, MapReduce analysis is also used to create new revenues and improve the IMS computing capabilities. In this article, we present a high-performance and scalable distributed storage and computing system for IMS services through different scenarios of service provisioning, storing and computing processes. Via experiments, the system performance is determined. Furthermore, the experimental results prove the system availability and scalability by sharing out more distributed resources for further IMS services using Hadoop Distributed File System (HDFS), YARN, and the Hadoop distributed cache mechanism. The proposed architecture in addition considerably minimizes response time, maximizes throughput and server utilization gets improved.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129035727","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}
Pub Date : 2016-05-24DOI: 10.1109/CLOUDTECH.2016.7847712
Alessandro Kraemer, C. Maziero, Olivier Richard, D. Trystram
The migration of jobs from HPC platforms to the cloud has received some interest recently. On the first hand, in such migration scenario, the cloud environment is seen as a virtual hardware extension for the HPC platform. On the other hand, job migration from the cloud to an HPC platform is a much less explored topic. Nevertheless, it may be useful in some cases, in particular when the HPC platform has a low resource usage level and the cloud usage level is high. In such a case, migrating jobs from the cloud to HPC has the potential to avoid evicting cloud jobs due to overbooking. This paper proposes a new scheduling strategy for migrating jobs from the cloud to an HPC platform. Preliminary experimental results show that the proposed strategy reduces the number of response time Service Level Objectives (SLO) violations for cloud jobs and has a low impact on the makespan of a set of HPC jobs.
{"title":"Reducing the number of response time SLO violations by a cloud-HPC convergence scheduler","authors":"Alessandro Kraemer, C. Maziero, Olivier Richard, D. Trystram","doi":"10.1109/CLOUDTECH.2016.7847712","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847712","url":null,"abstract":"The migration of jobs from HPC platforms to the cloud has received some interest recently. On the first hand, in such migration scenario, the cloud environment is seen as a virtual hardware extension for the HPC platform. On the other hand, job migration from the cloud to an HPC platform is a much less explored topic. Nevertheless, it may be useful in some cases, in particular when the HPC platform has a low resource usage level and the cloud usage level is high. In such a case, migrating jobs from the cloud to HPC has the potential to avoid evicting cloud jobs due to overbooking. This paper proposes a new scheduling strategy for migrating jobs from the cloud to an HPC platform. Preliminary experimental results show that the proposed strategy reduces the number of response time Service Level Objectives (SLO) violations for cloud jobs and has a low impact on the makespan of a set of HPC jobs.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124519107","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847706
Hind Bangui, S. Rakrak, S. Raghay
Mobile cloud computing is a promising technology for the near future. It aims to integrate mobile devices with cloud computing, and offers to mobile users an online access to unlimited space storage and computing power. Furthermore, the development of pervasive and cloud applications is increasing because mobile client needs to utilize smarter mobile applications which are suitable for his situation. Thus, in this paper we propose a middleware that provides an intelligent behavior for selecting and adapting cloud services according to the current user's context. Besides, we propose a context-aware algorithm aiming to exploit location and preference of mobile user to select the adequate cloud resource.
{"title":"Towards selective mobile cloud services","authors":"Hind Bangui, S. Rakrak, S. Raghay","doi":"10.1109/CLOUDTECH.2016.7847706","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847706","url":null,"abstract":"Mobile cloud computing is a promising technology for the near future. It aims to integrate mobile devices with cloud computing, and offers to mobile users an online access to unlimited space storage and computing power. Furthermore, the development of pervasive and cloud applications is increasing because mobile client needs to utilize smarter mobile applications which are suitable for his situation. Thus, in this paper we propose a middleware that provides an intelligent behavior for selecting and adapting cloud services according to the current user's context. Besides, we propose a context-aware algorithm aiming to exploit location and preference of mobile user to select the adequate cloud resource.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124456461","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847714
Siham Younoussi, O. Roudiès
For any organization, improving the business performance means perfecting their software development. Systematic reuse offers great potential of significant gains for an organization, by reducing costs and efforts, and accelerating the Time to Market of software products [1]. Cloud based development is a challenging task for several software organizations, especially for organizations that are in need of development with reusability. Organizations need to define a strategy for adopting a systematic reuse, and for defining a reuse process, but they do not know how to address reuse issues or they are not aware of the power that different levels of reuse can provide them. There are many existing reuse models. Each organization interested in adopting reuse needs to identify what each model can offer, and needs to be able to recognize which one is the most suitable for its context. The aim of this paper is to provide some information about the different Reuse best practices and Models, and to present a comparative study based on criteria that helps choosing the appropriate reuse maturity model for an organization.
{"title":"Capability and maturity model for Reuse: A comparative study","authors":"Siham Younoussi, O. Roudiès","doi":"10.1109/CLOUDTECH.2016.7847714","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847714","url":null,"abstract":"For any organization, improving the business performance means perfecting their software development. Systematic reuse offers great potential of significant gains for an organization, by reducing costs and efforts, and accelerating the Time to Market of software products [1]. Cloud based development is a challenging task for several software organizations, especially for organizations that are in need of development with reusability. Organizations need to define a strategy for adopting a systematic reuse, and for defining a reuse process, but they do not know how to address reuse issues or they are not aware of the power that different levels of reuse can provide them. There are many existing reuse models. Each organization interested in adopting reuse needs to identify what each model can offer, and needs to be able to recognize which one is the most suitable for its context. The aim of this paper is to provide some information about the different Reuse best practices and Models, and to present a comparative study based on criteria that helps choosing the appropriate reuse maturity model for an organization.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116740068","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847707
Aimad Karkouch, H. Mousannif, H. A. Moatassime, T. Noel
The internet of Things (IoT) is a data stream environment where a large scale deployment of smart things continuously report readings. These data streams are then consumed by pervasive applications, i.e. data consumers, to offer ubiquitous services. The data quality (DQ) is a key criteria for IoT data consumers especially when considering the inherent uncertainty of sensor-enabled data. However, DQ is a highly subjective concept and there is no standard agreement of how to determine “good” data. Moreover, the combinations of considered measured attributes and associated DQ information are as diverse as the needs of data consumers. This introduces expensive overheads for data consumers that desire a specifically built system for managing their DQ information. To effectively handle these various perceptions of DQ, we propose a Model-Driven Architecture-based approach that allows the data consumer to easily and efficiently express, through models, his vision of DQ and its requirements using an easy-to-use graphical model editor. The defined DQ specifications are then automatically transformed to generate an entire infrastructure for DQ management that fits perfectly the data consumer's requirements. We demonstrate the flexibility and the efficiency of our approach through a real life data stream environment scenario.
{"title":"A model-driven architecture-based data quality management framework for the internet of Things","authors":"Aimad Karkouch, H. Mousannif, H. A. Moatassime, T. Noel","doi":"10.1109/CLOUDTECH.2016.7847707","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847707","url":null,"abstract":"The internet of Things (IoT) is a data stream environment where a large scale deployment of smart things continuously report readings. These data streams are then consumed by pervasive applications, i.e. data consumers, to offer ubiquitous services. The data quality (DQ) is a key criteria for IoT data consumers especially when considering the inherent uncertainty of sensor-enabled data. However, DQ is a highly subjective concept and there is no standard agreement of how to determine “good” data. Moreover, the combinations of considered measured attributes and associated DQ information are as diverse as the needs of data consumers. This introduces expensive overheads for data consumers that desire a specifically built system for managing their DQ information. To effectively handle these various perceptions of DQ, we propose a Model-Driven Architecture-based approach that allows the data consumer to easily and efficiently express, through models, his vision of DQ and its requirements using an easy-to-use graphical model editor. The defined DQ specifications are then automatically transformed to generate an entire infrastructure for DQ management that fits perfectly the data consumer's requirements. We demonstrate the flexibility and the efficiency of our approach through a real life data stream environment scenario.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"13 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128537522","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847715
Safa Meraghni, L. Terrissa, N. Zerhouni, C. Varnier, Soheyb Ayad
Maintenance is one of the main factors of production process. The aim of maintenance strategy is not just to repair and maintain equipment in a good condition, but to implement efficient maintenance solutions to ensure the good function while minimizing the cost of maintenance. Predictive maintenance strategy start by collecting data from sensors, analyze this data and predict the malfunction or failure in the system. As a result, with this information, we try to find the optimal solution for maintenance. Prognostics Health Manager (PHM) offers significant benefits for maintenance. It predicts the future behavior of a system as well as its remaining useful life. However when factories have a large number of asset with mobile and stationary equipment in different geographically sites. Making decision and collecting data become difficult to be done. In this study we interested in stationary equipment geographically distributed; and we propose a decision post-prognostics framework to help engineers to take the optimal decision for maintenance operation in order to minimize maintenance cost. In order to enhance the post-prognostics decision, we propose a framework based on Iot technology for real-time sensing to collect data from equipment and Cloud computing paradigm for resources management and information processing.
{"title":"A post-prognostics decision framework for cell site using Cloud computing and Internet of Things","authors":"Safa Meraghni, L. Terrissa, N. Zerhouni, C. Varnier, Soheyb Ayad","doi":"10.1109/CLOUDTECH.2016.7847715","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847715","url":null,"abstract":"Maintenance is one of the main factors of production process. The aim of maintenance strategy is not just to repair and maintain equipment in a good condition, but to implement efficient maintenance solutions to ensure the good function while minimizing the cost of maintenance. Predictive maintenance strategy start by collecting data from sensors, analyze this data and predict the malfunction or failure in the system. As a result, with this information, we try to find the optimal solution for maintenance. Prognostics Health Manager (PHM) offers significant benefits for maintenance. It predicts the future behavior of a system as well as its remaining useful life. However when factories have a large number of asset with mobile and stationary equipment in different geographically sites. Making decision and collecting data become difficult to be done. In this study we interested in stationary equipment geographically distributed; and we propose a decision post-prognostics framework to help engineers to take the optimal decision for maintenance operation in order to minimize maintenance cost. In order to enhance the post-prognostics decision, we propose a framework based on Iot technology for real-time sensing to collect data from equipment and Cloud computing paradigm for resources management and information processing.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130758338","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847697
Mamouni Abdelaziz, Marzak Abdelaziz, A. Zayed, Boukouchi Youness
In these days, the Zakat calculation platforms form a necessary tool and play a crucial role in Muslims life. They have made the entire process of calculating Zakat extremely simple and straightforward. Moreover, they support the Muslims in calculating their Zakat easily, correctly, quickly and accurately. However, many challenges exist in the area of Zakat calculation platforms which can be an obstacle for its adoption by Muslims to calculate their Zakat. Indeed, the most of them are developed in traditional manner and have lack of portability, reusability and interoperability. Moreover, the vast majority of them are designed for specific categories of wealth and limited to one school of jurisprudence. For this, the Framework ZCMGenerator is done to overcome these obstacles by facilitating Zakat calculation platforms modelling, ensuring reuse, portability and interoperability and providing direction and guidance to ZCP developers.
{"title":"ZCPGenerator framework: Zakat calculation platforms generator based on MDA approach","authors":"Mamouni Abdelaziz, Marzak Abdelaziz, A. Zayed, Boukouchi Youness","doi":"10.1109/CLOUDTECH.2016.7847697","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847697","url":null,"abstract":"In these days, the Zakat calculation platforms form a necessary tool and play a crucial role in Muslims life. They have made the entire process of calculating Zakat extremely simple and straightforward. Moreover, they support the Muslims in calculating their Zakat easily, correctly, quickly and accurately. However, many challenges exist in the area of Zakat calculation platforms which can be an obstacle for its adoption by Muslims to calculate their Zakat. Indeed, the most of them are developed in traditional manner and have lack of portability, reusability and interoperability. Moreover, the vast majority of them are designed for specific categories of wealth and limited to one school of jurisprudence. For this, the Framework ZCMGenerator is done to overcome these obstacles by facilitating Zakat calculation platforms modelling, ensuring reuse, portability and interoperability and providing direction and guidance to ZCP developers.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130983207","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847687
Meryeme Alouane, Hanan El Bakkali
Virtualization and virtual environments are fundamental basics for data sharing in Cloud Computing. It is benefic for both the guest user and the provider: while it provides the first with the elements needed to execute his request, it gives the second the ability to be housing different guests with no additional cost. The central component in a virtual architecture is called hypervisor, having extra-privileges, which makes it able to play fundamental role of managing the sharing of data and resources. This hypervisor has many advantages regarding the cost, the simplicity of execution, the availability… But in the other hand, the major role played by this element makes it the perfect target for malicious users aiming to attack the virtual system. In this paper, we will analyze different approaches which try to solve the security issues of hypervisors, and then we will propose our own contribution to increase security in hypervisor related architectures.
{"title":"Virtualization in Cloud Computing: Existing solutions and new approach","authors":"Meryeme Alouane, Hanan El Bakkali","doi":"10.1109/CLOUDTECH.2016.7847687","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847687","url":null,"abstract":"Virtualization and virtual environments are fundamental basics for data sharing in Cloud Computing. It is benefic for both the guest user and the provider: while it provides the first with the elements needed to execute his request, it gives the second the ability to be housing different guests with no additional cost. The central component in a virtual architecture is called hypervisor, having extra-privileges, which makes it able to play fundamental role of managing the sharing of data and resources. This hypervisor has many advantages regarding the cost, the simplicity of execution, the availability… But in the other hand, the major role played by this element makes it the perfect target for malicious users aiming to attack the virtual system. In this paper, we will analyze different approaches which try to solve the security issues of hypervisors, and then we will propose our own contribution to increase security in hypervisor related architectures.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132893556","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847690
Abdellatif Elghazi, Maryem Berrezzouq, Z. Abdelali
Cloud computing has appeared as a new paradigm offering services and resources through Internet, it also offers storage services to users to store their data using different ways and accessible anywhere if needed. Storing data in Cloud is a new trend, which individual and organizations uses it, but like any technology there is no lack of flaws, security aspect is the most important and this influence on the cloud storage that's why some users hesitate to use. In our paper we study the security of Cloud storage environment; we expose and discuss some researches that had been proposed to secure the data stored in the cloud. And then we will present our new model based on the concatenation of two protocols iSCSI and FASP to ensure safety and data confidentiality.
{"title":"New version of iSCSI protocol to secure Cloud data storage","authors":"Abdellatif Elghazi, Maryem Berrezzouq, Z. Abdelali","doi":"10.1109/CLOUDTECH.2016.7847690","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847690","url":null,"abstract":"Cloud computing has appeared as a new paradigm offering services and resources through Internet, it also offers storage services to users to store their data using different ways and accessible anywhere if needed. Storing data in Cloud is a new trend, which individual and organizations uses it, but like any technology there is no lack of flaws, security aspect is the most important and this influence on the cloud storage that's why some users hesitate to use. In our paper we study the security of Cloud storage environment; we expose and discuss some researches that had been proposed to secure the data stored in the cloud. And then we will present our new model based on the concatenation of two protocols iSCSI and FASP to ensure safety and data confidentiality.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114509030","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}
Pub Date : 2016-05-01DOI: 10.1109/CLOUDTECH.2016.7847693
Houda Daki, A. El Hannani, Abdelhak Aqqal, A. Haidine, A. Dahbi, H. Ouahmane
Big Data is the term for large and complex data sets that are difficult to treat using traditional management tools. Nowadays, Big Data has an important role in different industries. This huge quantity of datasets can be a great opportunity to help many organizations to understand quantified results better, improve their decisions and be able to make predictive actions to generate more revenues. Many networking infrastructures relay on Big Data applications to make daily activities smarter and faster. In this paper we present the case of a Moroccan operator which migrated from a manual reporting process to a fully automated one in order to have high interactivity, optimal management and great vision on their networks performance indicators. Furthermore, we discuss Big Data opportunities for the mobile network operators (MNO) and propose a Big Data architecture that may be adopted by the Moroccan MNO to overcome the limits of the traditional technologies used in the automatic reporting system.
{"title":"Towards adopting Big Data technologies by mobile networks operators: A Moroccan case study","authors":"Houda Daki, A. El Hannani, Abdelhak Aqqal, A. Haidine, A. Dahbi, H. Ouahmane","doi":"10.1109/CLOUDTECH.2016.7847693","DOIUrl":"https://doi.org/10.1109/CLOUDTECH.2016.7847693","url":null,"abstract":"Big Data is the term for large and complex data sets that are difficult to treat using traditional management tools. Nowadays, Big Data has an important role in different industries. This huge quantity of datasets can be a great opportunity to help many organizations to understand quantified results better, improve their decisions and be able to make predictive actions to generate more revenues. Many networking infrastructures relay on Big Data applications to make daily activities smarter and faster. In this paper we present the case of a Moroccan operator which migrated from a manual reporting process to a fully automated one in order to have high interactivity, optimal management and great vision on their networks performance indicators. Furthermore, we discuss Big Data opportunities for the mobile network operators (MNO) and propose a Big Data architecture that may be adopted by the Moroccan MNO to overcome the limits of the traditional technologies used in the automatic reporting system.","PeriodicalId":133495,"journal":{"name":"2016 2nd International Conference on Cloud Computing Technologies and Applications (CloudTech)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128922658","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}
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