| 1. |
- Agreste, Santa, et al.
(författare)
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An empirical comparison of algorithms to find communities in directed graphs and their application in Web Data Analytics
- 2017
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Ingår i: IEEE Transactions on Big Data. - : IEEE. - 2332-7790. ; 3:3, s. 289-306
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Tidskriftsartikel (refereegranskat)abstract
- Detecting communities in graphs is a fundamental tool to understand the structure of Web-based systems and predict their evolution. Many community detection algorithms are designed to process undirected graphs (i.e., graphs with bidirectional edges) but many graphs on the Web - e.g. microblogging Web sites, trust networks or the Web graph itself - are often directed. Few community detection algorithms deal with directed graphs but we lack their experimental comparison. In this paper we evaluated some community detection algorithms across accuracy and scalability. A first group of algorithms (Label Propagation and Infomap) are explicitly designed to manage directed graphs while a second group (e.g., WalkTrap) simply ignores edge directionality; finally, a third group of algorithms (e.g., Eigenvector) maps input graphs onto undirected ones and extracts communities from the symmetrized version of the input graph. We ran our tests on both artificial and real graphs and, on artificial graphs, WalkTrap achieved the highest accuracy, closely followed by other algorithms; Label Propagation has outstanding performance in scalability on both artificial and real graphs. The Infomap algorithm showcased the best trade-off between accuracy and computational performance and, therefore, it has to be considered as a promising tool for Web Data Analytics purposes.
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| 2. |
- Ahmad, Iftikhar, et al.
(författare)
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Characterizing the role of vehicular cloud computing in road traffic management
- 2017
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Ingår i: International Journal of Distributed Sensor Networks. - : Sage Publications. - 1550-1329 .- 1550-1477. ; 13:5
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Tidskriftsartikel (refereegranskat)abstract
- Vehicular cloud computing is envisioned to deliver services that provide traffic safety and efficiency to vehicles. Vehicular cloud computing has great potential to change the contemporary vehicular communication paradigm. Explicitly, the underutilized resources of vehicles can be shared with other vehicles to manage traffic during congestion. These resources include but are not limited to storage, computing power, and Internet connectivity. This study reviews current traffic management systems to analyze the role and significance of vehicular cloud computing in road traffic management. First, an abstraction of the vehicular cloud infrastructure in an urban scenario is presented to explore the vehicular cloud computing process. A taxonomy of vehicular clouds that defines the cloud formation, integration types, and services is presented. A taxonomy of vehicular cloud services is also provided to explore the object types involved and their positions within the vehicular cloud. A comparison of the current state-of-the-art traffic management systems is performed in terms of parameters, such as vehicular ad hoc network infrastructure, Internet dependency, cloud management, scalability, traffic flow control, and emerging services. Potential future challenges and emerging technologies, such as the Internet of vehicles and its incorporation in traffic congestion control, are also discussed. Vehicular cloud computing is envisioned to have a substantial role in the development of smart traffic management solutions and in emerging Internet of vehicles
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| 3. |
- Ahmed, Ejaz, et al.
(författare)
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The role of big data analytics in Internet of Things
- 2017
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Ingår i: Computer Networks. - : Elsevier. - 1389-1286 .- 1872-7069. ; 129:2, s. 459-471
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Tidskriftsartikel (refereegranskat)abstract
- The explosive growth in the number of devices connected to the Internet of Things (IoT) and the exponential increase in data consumption only reflect how the growth of big data perfectly overlaps with that of IoT. The management of big data in a continuously expanding network gives rise to non-trivial concerns regarding data collection efficiency, data processing, analytics, and security. To address these concerns, researchers have examined the challenges associated with the successful deployment of IoT. Despite the large number of studies on big data, analytics, and IoT, the convergence of these areas creates several opportunities for flourishing big data and analytics for IoT systems. In this paper, we explore the recent advances in big data analytics for IoT systems as well as the key requirements for managing big data and for enabling analytics in an IoT environment. We taxonomized the literature based on important parameters. We identify the opportunities resulting from the convergence of big data, analytics, and IoT as well as discuss the role of big data analytics in IoT applications. Finally, several open challenges are presented as future research directions.
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| 4. |
- Al-Turjman, Fadi M., et al.
(författare)
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Value-Based Caching in Information-Centric Wireless Body Area Networks
- 2017
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Ingår i: Sensors. - : MDPI. - 1424-8220. ; 17:1
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Tidskriftsartikel (refereegranskat)abstract
- We propose a resilient cache replacement approach based on a Value of sensed Information (VoI) policy. To resolve and fetch content when the origin is not available due to isolated in-network nodes (fragmentation) and harsh operational conditions, we exploit a content caching approach. Our approach depends on four functional parameters in sensory Wireless Body Area Networks (WBANs). These four parameters are: age of data based on periodic request, popularity of on-demand requests, communication interference cost, and the duration for which the sensor node is required to operate in active mode to capture the sensed readings. These parameters are considered together to assign a value to the cached data to retain the most valuable information in the cache for prolonged time periods. The higher the value, the longer the duration for which the data will be retained in the cache. This caching strategy provides significant availability for most valuable and difficult to retrieve data in the WBANs. Extensive simulations are performed to compare the proposed scheme against other significant caching schemes in the literature while varying critical aspects in WBANs (e.g., data popularity, cache size, publisher load, connectivity-degree, and severe probabilities of node failures). These simulation results indicate that the proposed VoI-based approach is a valid tool for the retrieval of cached content in disruptive and challenging scenarios, such as the one experienced in WBANs, since it allows the retrieval of content for a long period even while experiencing severe in-network node failures.
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| 5. |
- Baqer Mollah, Muhammad, et al.
(författare)
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Secure Data Sharing and Searching at the Edge of Cloud-Assisted Internet of Things
- 2017
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Ingår i: IEEE Cloud Computing. - : IEEE. - 2325-6095. ; 4:1, s. 34-42
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Tidskriftsartikel (refereegranskat)abstract
- Over the last few years, smart devices are able to communicate with each other and with Internet/cloud from short to long range. As a consequence, a new paradigm is introduced called Internet of Things (IoT). However, by utilizing cloud computing, resource limited IoT smart devices can get various benefits like offload data storage and processing burden at cloud. To support latency sensitive, real-time data processing, mobility and high data rate IoT applications, working at the edge of the network offers more benefits than cloud. In this paper, we propose an efficient data sharing scheme that allows smart devices to securely share data with others at the edge of cloud-assisted IoT. In addition, we also propose a secure searching scheme to search desired data within own/shared data on storage. Finally, we analyze the performance based on processing time of our proposed scheme. The results demonstrate that our scheme has potential to be effectively used in IoT applications
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| 6. |
- Baqer Mollah, Muhammad, et al.
(författare)
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Security and privacy challenges in mobile cloud computing : Survey and way ahead
- 2017
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Ingår i: Journal of Network and Computer Applications. - : Elsevier. - 1084-8045 .- 1095-8592. ; 84, s. 38-54
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Tidskriftsartikel (refereegranskat)abstract
- The rapid growth of mobile computing is seriously challenged by the resource constrained mobile devices. However, the growth of mobile computing can be enhanced by integrating mobile computing into cloud computing, and hence a new paradigm of computing called mobile cloud computing emerges. In here, the data is stored in cloud infrastructure and the actual execution is shifted to cloud environment so that a mobile user is set free from resource constrained issue of existing mobile devices. Moreover, to avail the cloud services, the communications between mobile devices and clouds are held through wireless medium. Thus, some new classes of security and privacy challenges are introduced. The purpose of this survey is to present the main security and privacy challenges in this field which have grown much interest among the academia and research community. Although, there are many challenges, corresponding security solutions have been proposed and identified in literature by many researchers to counter the challenges. We also present these recent works in short. Furthermore, we compare these works based on different security and privacy requirements, and finally present open issues.
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| 7. |
- Batalla, Jordi Mongay, et al.
(författare)
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Secure Smart Homes : Opportunities and Challenges
- 2017
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Ingår i: ACM Computing Surveys. - : Association for Computing Machinery (ACM). - 0360-0300 .- 1557-7341. ; 50:5, s. p75:1-75:32
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Tidskriftsartikel (refereegranskat)abstract
- The Smart Home concept integrates smart applications in the daily human life. In recent years, Smart Homes have increased security and management challenges due to the low capacity of small sensors, multiple connectivity to the Internet for efficient applications (use of big data and cloud computing) and heterogeneity of home systems, which require inexpert users to configure devices and micro-systems. This article presents current security and management approaches in Smart Homes and shows the good practices imposed on the market for developing secure systems in houses. At last, we propose future solutions for efficiently and securely managing the Smart Homes
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| 8. |
- Bera, Samaresh, et al.
(författare)
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Software-Defined Networking for Internet of Things : a Survey
- 2017
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Ingår i: IEEE Internet of Things Journal. - : Institute of Electrical and Electronics Engineers (IEEE). - 2327-4662. ; 4:6, s. 1994-2008
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Tidskriftsartikel (refereegranskat)abstract
- Internet of things (IoT) facilitates billions of devices to be enabled with network connectivity to collect and exchange real-time information for providing intelligent services. Thus, IoT allows connected devices to be controlled and accessed remotely in the presence of adequate network infrastructure. Unfortunately, traditional network technologies such as enterprise networks and classic timeout-based transport protocols are not capable of handling such requirements of IoT in an efficient, scalable, seamless, and cost-effective manner. Besides, the advent of software-defined networking (SDN) introduces features that allow the network operators and users to control and access the network devices remotely, while leveraging the global view of the network. In this respect, we provide a comprehensive survey of different SDN-based technologies, which are useful to fulfill the requirements of IoT, from different networking aspects – edge, access, core, and data center networking. In these areas, the utility of SDN-based technologies is discussed, while presenting different challenges and requirements of the same in the context of IoT applications. We present a synthesized overview of the current state of IoT development. We also highlight some of the future research directions and open research issues based on the limitations of the existing SDN-based technologies.
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| 9. |
- Cai, Hongming, et al.
(författare)
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IoT-Based Big Data Storage Systems in Cloud Computing : Perspectives and Challenges
- 2017
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Ingår i: IEEE Internet of Things Journal. - : IEEE. - 2327-4662. ; 4:1, s. 75-87
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Tidskriftsartikel (refereegranskat)abstract
- Internet of Things (IoT) related applications have emerged as an important field for both engineers and researchers, reflecting the magnitude and impact of data-related problems to be solved in contemporary business organizations especially in cloud computing. This paper first provides a functional framework that identifies the acquisition, management, processing and mining areas of IoT big data, and several associated technical modules are defined and described in terms of their key characteristics and capabilities. Then current research in IoT application is analyzed, moreover, the challenges and opportunities associated with IoT big data research are identified. We also report a study of critical IoT application publications and research topics based on related academic and industry publications. Finally, some open issues and some typical examples are given under the proposed IoT-related research framework
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| 10. |
- Cai, Hongming, et al.
(författare)
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Web of Things Data Storage
- 2017
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Ingår i: Managing the Web of Things. - : Elsevier. - 9780128097656 - 9780128097649 ; , s. 325-354
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Bokkapitel (refereegranskat)abstract
- With the wide spread of Web of Things (WoT) technology, massive data are generated by huge amounts of distributed sensors and different applications. WoT related applications have emerged as an important area for both engineers and researchers. As a consequence, how to acquire, integrate, store, process and use these data has become an urgent and important problem for enterprises to achieve their business goals. Based on data processing functional analysis, a framework is provided to identify the representation, management, and disposing areas of WoT data. Several associated functional modules are defined and described in terms of their key characteristics and capabilities. Then, current researches in WoT applications are organized and compared to show the state-of-the-art achievements in literature from the view of data processing process. Next, some WoT storage techniques are discussed to enable WoT applications to move into cloud platforms. Lastly, based on application requirement analysis, some future technical tendencies are also proposed.
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