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Edge computing is an increasingly popular paradigm, wherein computation comes closer to the sources of data. A key challenge for edge computing is discovering and utilizing the heterogeneous resources of the vast number of mobile devices at the network edge. Mobile edge devices hide behind private networks, they are mobile and their owners hesitate to share them due to privacy considerations. We propose...
The paper deals with the problem of designing and implementing an inexpensive wide area sensors network for environmental radiological monitoring. To this aim, the measurement node takes advantage from a low-cost, Linux based, development platform, and some new open-source software tool, which are pushed towards a network-oriented vision of Internet of Things (IoT).
The emerging fog paradigm has been attracting increasing interest from both academia and industry, due to the low-latency, resilient, and cost-effective services it can provide. Many fog applications, such as video mining and event monitoring, rely on data stream processing and analytics, which are very popular in the cloud, but have not been comprehensively investigated in the context of fog architecture...
Exploiting the network's edge is trending nowadays due to the evolution end devices, e.g., IoTs and smartphones. In this work, we present LAMEN1, an initial attempt to execute services at the network's edge closer to data sources. Unlike crowdsensing approaches, which use end devices as data collectors wasting the bandwidth in transmission to cloud servers for processing. LAMEN proposes a layered...
On the Internet of the future, billions of physical objects will collect and exchange data that will be stored in the Cloud Computing. A bad storage structure of big data has a negative influence on the latency time during the client's requests. To solve this problem, we have proposed an Infrastructure as a Service (IaaS) for the input and the output of different files on servers' clusters. We have...
The Internet of Things (IoT) is an emerging technology that is considered by industry and academy as a global infrastructure for the information society in today's digital world. IoT is implemented now in several ecosystems to improve economic indicators and productivity of enterprises, and also to improve the quality of consumer's lives. Thus a development of new architectures and approaches for...
This Fog computing is basically a concept which extends cloud computing theory to the edge of the network. Fog provides data, compute storage and application services to the end-user. This facilitates new variety of application and services. The Internet of Things represents a new age of information and communication technologies from anytime, anyplace connectivity for anybody. Application of fog...
Network-based cloud computing is considered to be an emerging model of business computing, which maintains configurable resources such as processors, networks, storage, operating systems, database, and servers. One of the most successful paradigms that can be configured over the cloud is the Service oriented Architecture (SoA) environment, which provides a layered architecture for organising software...
The untethered nature of Wireless Sensor Networks (WSNs) lets them sense information in previously unobtainable situations (e.g., undersea) as well as in various hostile environments (e.g., battlefield). With the proliferation of WSNs, a broad range of ubiquitous computing applications has been enabled in distributed sensing and control areas. Accordingly, the amount of data gathered by contemporary...
This paper plays a role for electricity providers, who are actively developing digital meters and power management systems, and develops an energy management system by using service-oriented architecture. In addition to a power management system, the policy has changed from the traditional way in Taiwan by using energy-saving appliances. Therefore, the solution is to design devices that are more intelligent...
The remote monitoring system is growing very rapidly due to the growth of supporting technologies as well. Problem that may occur in remote monitoring such as the number of objects to be monitored and how fast, how much data to be transmitted to the data center to be processed properly. This study proposes using a cloud computing infrastructure as processing center in the remote sensing data. This...
Intrusion detection systems (IDS) have been used widely to detect malicious behaviors in network communication and hosts. IDS management is an important capability for distributed IDS solutions, which makes it possible to integrate and handle different types of sensors or collect and synthesize alerts generated from multiple hosts located in the distributed environment. Facing new application scenarios...
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