{"title":"RUM Extractor: A Facebook Extractor for Data Analysis","authors":"R. Duwairi, Mosab Alfaqeeh","doi":"10.1109/FiCloud.2015.116","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.116","url":null,"abstract":"Social Network Analysis (SNA) is a field of study that focuses on analyzing user profiles and participations on social network channels in order to model relationships between people and to predict certain behaviors or knowledge. To achieve their goals, researchers, interested in SNA, have to extract content and structure from the numerous social networks available today. Existing tools, which help in this task, often require substantial pre-processing or good programming skills which may not be available for all SNA researchers. This paper describes RUM, a data extraction tool which allows researchers to easily extract several types of content and structure that are available on Facebook pages. Consequently, the extracted data can be saved and analyzed. RUM Extractor is easy to set up and use, and it gives flexible options to users to specify the type and amount of content and structure they want to retrieve. The paper also demonstrates how RUM can be exploited by collecting and further analyzing data collected from two popular Arabic news pages.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133633426","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}
{"title":"Cross-Domain Internet of Things Application Development: M3 Framework and Evaluation","authors":"A. Gyrard, S. K. Datta, C. Bonnet, K. Boudaoud","doi":"10.1109/FiCloud.2015.10","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.10","url":null,"abstract":"Internet of Things (IoT) applications are becoming more and more popular but not interoperable with each other. In this paper, we propose the Machine-to-Machine Measurement (M3) framework to: (1) build IoT applications, (2) assist users in interpreting sensor measurements, and (3) combine domains with each other. The M3 framework is based on semantic web technologies to explicitly describe the meaning of sensor measurements in an unified way to ease the interpretation of sensor data and to combine domains.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134003226","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}
Antonio Marsico, Attilio Broglio, M. Vecchio, F. Facca
{"title":"Learn by Examples How to Link the Internet of Things and the Cloud Computing Paradigms: A Fully Working Proof of Concept","authors":"Antonio Marsico, Attilio Broglio, M. Vecchio, F. Facca","doi":"10.1109/FiCloud.2015.27","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.27","url":null,"abstract":"This paper describes a fully-working proof of concept centered around a smart enterprise scenario and able to shed led on the power offered by linking the Internet of Things (IoT) and the Cloud Computing (CC) paradigms together. More specifically, in this showcase all the sensing and actuation capabilities are implemented in the tiny micro-controllers on-board the \"things\" and exposed, through a short-range radio module, as interfaces and commands, while all the smart capabilities (from identity management, to complex event processing, from data contextualization to persistent storage) are implemented as cloud services. In this way one can keep the computational and memory requirements of the devices extremely low, by off-loading the smartness of the application to the cloud services, where computational and memory resources are not an issue. Finally, to connect the two worlds together, a small linux embedded micro-pc is used as a controller, hence playing the role of a smart IoT gateway.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606023","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}
{"title":"Design and Development of Integrated, Secured and Intelligent Architecture for Internet of Things and Cloud Computing","authors":"T. Daisy, Premila Bai, S. Rabara","doi":"10.1109/FiCloud.2015.23","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.23","url":null,"abstract":"Internet of Things (IoT) and Cloud Computing paradigm is a next wave in the era of computing and it has been identified as one of the emerging technologies in the field of Computer Science and Information Technology. It has been understood from the review reports that integration of IoT and Cloud Computing is in its infantile phase and it has not been extended to all application domains due to its inadequate security architecture. Hence, in this paper a novel integrated secured and intelligent architecture for the Internet of Things and Cloud Computing is proposed. This is a unique intelligent architecture adoptable for the public to access diversified smart applications and services distributed in the cloud, anywhere, anytime, any device and any network irrespective of the underlying technologies in a smart environment. The cloud services are integrated and connected through a novel IP/MPLS (Internet Protocol/Multiprotocol Label Switching) core. Elliptic Curve Cryptography (ECC) is used to ensure complete protection against the security risks such as confidentiality, integrity, privacy and authentication. This model eliminates ambiguity, ensures security with enhanced performance and realizes the vision of \"one intelligent smart card for any applications and transactions\". The performance of the proposed architecture is tested by establishing a test bed in a simulated environment and the results are reported.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131689714","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}
Mostafa Dehsangi, Esmail Asyabi, M. Sharifi, S. V. Azhari
{"title":"cCluster: A Core Clustering Mechanism for Workload-Aware Virtual Machine Scheduling","authors":"Mostafa Dehsangi, Esmail Asyabi, M. Sharifi, S. V. Azhari","doi":"10.1109/FiCloud.2015.56","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.56","url":null,"abstract":"In spite of the fact that Cloud Computing Environments (CCE) host many I/O intensive applications such as Web services, big data and virtual desktops, virtual machine monitors like Xen impose high overhead on CCEs' delivered performance hosting such applications. Studies have shown that hypervisors such as Xen favor compute intensive workloads while their performance for I/O intensive tasks is far from satisfactory. In this paper we present a new mechanism called cCluster to mitigate I/O processing delay in CCEs. To this end, cCluster classifies running virtual machines into I/O and computation VMs, and based on this classification, it dynamically classifies exiting physical cores into I/O and computation cores too. It then schedules I/O virtual CPUs (vCPU) on I/O cores and computation vCPUs on computation cores. Empirical results demonstrate that cCluster remarkably reduces the I/O response time and thus improves the network throughput.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159832","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}
Ken Danniswara, Hooman Peiro Sajjad, A. Al-Shishtawy, Vladimir Vlassov
{"title":"Stream Processing in Community Network Clouds","authors":"Ken Danniswara, Hooman Peiro Sajjad, A. Al-Shishtawy, Vladimir Vlassov","doi":"10.1109/FiCloud.2015.95","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.95","url":null,"abstract":"Community Network Cloud is an emerging distributed cloud infrastructure that is built on top of a community network. The infrastructure consists of a number of geographically distributed compute and storage resources, contributed by community members, that are linked together through the community network. Stream processing is an important enabling technology that, if provided in a Community Network Cloud, would enable a new class of applications, such as social analysis, anomaly detection, and smart home power management. However, modern stream processing engines are designed to be used inside a data center, where servers communicate over a fast and reliable network. In this work, we evaluate the Apache Storm stream processing framework in an emulated Community Network Cloud in order to identify the challenges and bottlenecks that exist in the current implementation. The community network emulation was performed using data collected from the Guifi.net community network, Spain. Our evaluation results show that, with proper configuration of the heartbeats, it is possible to run Apache Storm in a Community Network Cloud. The performance is sensitive to the placement of the Storm components in the network. The deployment of management components on well-connected nodes improves the Storm topology scheduling time, fault tolerance, and recovery time. Our evaluation also indicates that the Storm scheduler and the stream groupings need to be aware of the network topology and location of stream sources in order to optimally place Storm spouts and bolts to improve performance.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127519715","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}
{"title":"The Cost-Efficient Awareness for Cloud MapReduce","authors":"Yuan-Chih Yu","doi":"10.1109/FiCloud.2015.73","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.73","url":null,"abstract":"Although the Total Cost of Ownership of the cloud deployment is cheaper than on-premises or colocation, the accumulated costs of usage on the cloud is not an overlooked spending for small and middle-sized business and is particularly vulnerable to spend overhead due to the unmanaged and insouciant increased nodes. Shortly, renting more nodes to improve the performance of cloud computing is not cost-efficient in a pay-as-you-go environment. In this research, we propose the concept of \"Cost-Efficient Awareness\" to emphasize the importance of cost-efficiencies on the development of cloud economy. To realize this concept, we have derived a cost improvement process within the MapReduce programming model to cooperate with cloud instance provision. We view this cost improvement process as a discrete optimization problem for cloud instance provision under the premise of economic constraint. When we scale up the service, it is critical to keep the costs down. The concept of \"Cost-efficient Awareness\" just reflects such a consideration. Based on the result of experiment, we can firmly assure the usability of research direction. We hope the future work can make the cloud service more affordable and approachable.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115278583","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}
{"title":"Reliability of the Closed-Chain-Fan Social Network","authors":"Hajar Sahbani, M. E. Marraki","doi":"10.1109/FiCloud.2015.66","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.66","url":null,"abstract":"Most researchs about spanning trees are devoted to determine exact formulas for the number of spanning trees in many kinds of special networks, which is an important measure of reliability for a communication network. We consider the closed-chain-fan planar topology Gn, k, as closed chain of n planar fan network Fk having n (k -- 1) nodes, all faces having degree 3 except for the outside and inside ones. Our approach consists on nding a general formula that enumerate spanning trees in the closed-chain-fan planar network Gn, k, depending on n and k to seek the possibilities of interactions between individuals.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129925411","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}
{"title":"Misbehavior Detection Framework for Community-Based Cloud Computing","authors":"O. A. Wahab, J. Bentahar, H. Otrok, A. Mourad","doi":"10.1109/FiCloud.2015.94","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.94","url":null,"abstract":"The success and continuation of cloud computing depends to a large extent on the quality and performance of the offered services. We propose in this paper a novel architecture for cloud computing called Community-based Cloud Computing whose main goal is to improve the quality and performance of the cloud services. In this architecture, cloud services sharing the same domain of interest are partitioned into a set of communities led by a central entity called master. The advantages of such an architecture are (1) facilitating the discovery of cloud services, (2) providing efficient means for better QoS management and resources utilization, and (3) easing intra-layer and cross-layer compositions. However, one of the serious challenges against the success of such an architecture is the presence of malicious services that launch attacks either against the whole community or against some partners in that Community. Therefore, we address this problem by proposing a misbehavior detection framework based on the Support Vector Machine (SVM) learning technique. In this framework, the master of the community monitors the behavior of its community members to populate the training set of the classifier. Thereafter, SVM is used to analyze this set and predict the final classes of the cloud services. Simulation results show that our framework is able to produce highly accurate classifiers, while maximizing the attack detection rate and minimizing the false alarms. They show also that the framework is quite resilient to the increase in the number of malicious services.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122472064","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}
Dario Bonino, Maria Teresa Delgado Alizo, A. Alapetite, Thomas Gilbert, Mathias Axling, Helene Udsen, José Angel Carvajal Soto, M. Spirito
{"title":"ALMANAC: Internet of Things for Smart Cities","authors":"Dario Bonino, Maria Teresa Delgado Alizo, A. Alapetite, Thomas Gilbert, Mathias Axling, Helene Udsen, José Angel Carvajal Soto, M. Spirito","doi":"10.1109/FiCloud.2015.32","DOIUrl":"https://doi.org/10.1109/FiCloud.2015.32","url":null,"abstract":"Smart cities advocate future environments where sensor pervasiveness, data delivery and exchange, and information mash-up enable better support of every aspect of (social) life in human settlements. As this vision matures, evolves and is shaped against several application scenarios, and adoption perspectives, a common need for scalable, pervasive, flexible and replicable infrastructures emerges. Such a need is currently fostering new design efforts to grant performance, reuse and interoperability while avoiding knowledge silos typical of early efforts on similar top is, e.g. Automation in buildings and homes. This paper introduces a federated smart city platform (SCP) developed in the context of the ALMANAC FP7 EU project and discusses lessons learned during the first experimental application of the platform to a smart waste management scenario in a medium-sized, European city. The ALMANAC SCP aims to integrate Internet of Things (IoT), capillary networks and metro access networks to offer smart services to the citizens, and thus enable Smart City processes. The key element of the SCP is a middleware supporting semantic interoperability of heterogeneous resources, devices, services and data management. The platform is built upon a dynamic federation of private and public networks, while supporting end-to-end security and privacy. Furthermore, it also enables the integration of services that, although being natively external to the platform itself, allow enriching the set of data and information used by the Smart City applications supported.","PeriodicalId":182204,"journal":{"name":"2015 3rd International Conference on Future Internet of Things and Cloud","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124991375","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}