摘要 :
The easy deployment of wireless sensors allows the development of context-aware applications that could react to the environment changes and users' preferences. For example, information extracted from data gathered using mobile ph...
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The easy deployment of wireless sensors allows the development of context-aware applications that could react to the environment changes and users' preferences. For example, information extracted from data gathered using mobile phones and embedded computers in buses and taxis could be used to understand city dynamics in real-time and therefore take mitigation actions. However, gathering and real-time processing of relevant information is still a challenging task. Complex-event processing (CEP) techniques and predictive analytics have been recently proposed for analyzing streaming data in real-time in order to generate fast insights and then take suitable actions according to the environment changes. The work presented in this paper focuses mainly on the performance evaluation of three CEP engines widely used by researchers for semantic and physical streaming data processing. Experiments have been conducted using existing benchmark tools and results are reported to shed more light on the performance these engines for stream data processing.
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摘要 :
The easy deployment of wireless sensors allows the development of context-aware applications that could react to the environment changes and users' preferences. For example, information extracted from data gathered using mobile ph...
展开
The easy deployment of wireless sensors allows the development of context-aware applications that could react to the environment changes and users' preferences. For example, information extracted from data gathered using mobile phones and embedded computers in buses and taxis could be used to understand city dynamics in real-time and therefore take mitigation actions. However, gathering and real-time processing of relevant information is still a challenging task. Complex-event processing (CEP) techniques and predictive analytics have been recently proposed for analyzing streaming data in real-time in order to generate fast insights and then take suitable actions according to the environment changes. The work presented in this paper focuses mainly on the performance evaluation of three CEP engines widely used by researchers for semantic and physical streaming data processing. Experiments have been conducted using existing benchmark tools and results are reported to shed more light on the performance these engines for stream data processing.
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Simultaneous wireless information and energy transfer (SWIET) is a promising energy harvesting (EH) technique to power energy-constrained wireless nodes in wireless communications. In wireless relay networks, employing SWIET at th...
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Simultaneous wireless information and energy transfer (SWIET) is a promising energy harvesting (EH) technique to power energy-constrained wireless nodes in wireless communications. In wireless relay networks, employing SWIET at the source-to-relay link, an energy-constrained relay node can harvest energy from the radio-frequency (RF) signals transmitted by a source node while assisting information relaying, and thus its lifetime can be prolonged. This paper investigate the resource allocation in a SWIET-based two-hop amply-and-forward or decode-and-forward relay network with a power-splitting EH receiver at the relay. The goal is to maximize the end-to-end achievable rate. Firstly, this paper formulate the resource allocation problem as a non-convex optimization problem. Then, this paper transform the non-convex problem into a convex problem by algebraic transformations. By solving the convex problem, this paper obtain the optimal resource allocation policy for the AF or DF relay network. Simulation results verify the optimality of the proposed resource allocation policy in this paper.
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摘要 :
Simultaneous wireless information and energy transfer (SWIET) is a promising energy harvesting (EH) technique to power energy-constrained wireless nodes in wireless communications. In wireless relay networks, employing SWIET at th...
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Simultaneous wireless information and energy transfer (SWIET) is a promising energy harvesting (EH) technique to power energy-constrained wireless nodes in wireless communications. In wireless relay networks, employing SWIET at the source-to-relay link, an energy-constrained relay node can harvest energy from the radio-frequency (RF) signals transmitted by a source node while assisting information relaying, and thus its lifetime can be prolonged. This paper investigate the resource allocation in a SWIET-based two-hop amply-and-forward or decode-and-forward relay network with a power-splitting EH receiver at the relay. The goal is to maximize the end-to-end achievable rate. Firstly, this paper formulate the resource allocation problem as a non-convex optimization problem. Then, this paper transform the non-convex problem into a convex problem by algebraic transformations. By solving the convex problem, this paper obtain the optimal resource allocation policy for the AF or DF relay network. Simulation results verify the optimality of the proposed resource allocation policy in this paper.
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In big data environment, the key of smart tourism information system is the method of semantic description and link construction to complete intensive, intelligent and unified management of tourism. We proposed a hierarchical sema...
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In big data environment, the key of smart tourism information system is the method of semantic description and link construction to complete intensive, intelligent and unified management of tourism. We proposed a hierarchical semantic description framework of tourism Linked Data, which consists of 4 layers: Metadata Layer, Ontology Layer, Linked Data Layer, Data application Layer. Main roles of these layers and their relations are described. A RDF Link approach between tourism Linked Data is presented to build the semantic association of tourism Linked Data.
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摘要 :
In big data environment, the key of smart tourism information system is the method of semantic description and link construction to complete intensive, intelligent and unified management of tourism. We proposed a hierarchical sema...
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In big data environment, the key of smart tourism information system is the method of semantic description and link construction to complete intensive, intelligent and unified management of tourism. We proposed a hierarchical semantic description framework of tourism Linked Data, which consists of 4 layers: Metadata Layer, Ontology Layer, Linked Data Layer, Data application Layer. Main roles of these layers and their relations are described. A RDF Link approach between tourism Linked Data is presented to build the semantic association of tourism Linked Data.
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The virtual resource description and provisioning play a key role in virtual resources discovery, selection and binding process. However, there lacks a standard resource description schema for network virtualization. In this paper...
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The virtual resource description and provisioning play a key role in virtual resources discovery, selection and binding process. However, there lacks a standard resource description schema for network virtualization. In this paper, we propose a virtual network resource description model, which can give a reference for ISPs (Internet Service Providers) to unify resource management. Furthermore, we extend the WSDL (Web Service Description Language) to specify this model, which is motivated for three reasons. The WSDL supports dynamical update services, which is precisely lacking in the existing network description language. In addition, WSDL is based on XML syntax and is flexible extended for accommodating more properties. Moreover, the resources are essentially services with minimum granularity. Besides the resource definition model and the WSDL-based virtual resource description schema, we also design a virtual resource provisioning framework to confirm the implementation of our proposals. Both theoretical analysis and scenarios demonstration show that the proposed model and framework are effective in dynamic resource discovery and resource composition.
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摘要 :
The virtual resource description and provisioning play a key role in virtual resources discovery, selection and binding process. However, there lacks a standard resource description schema for network virtualization. In this paper...
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The virtual resource description and provisioning play a key role in virtual resources discovery, selection and binding process. However, there lacks a standard resource description schema for network virtualization. In this paper, we propose a virtual network resource description model, which can give a reference for ISPs (Internet Service Providers) to unify resource management. Furthermore, we extend the WSDL (Web Service Description Language) to specify this model, which is motivated for three reasons. The WSDL supports dynamical update services, which is precisely lacking in the existing network description language. In addition, WSDL is based on XML syntax and is flexible extended for accommodating more properties. Moreover, the resources are essentially services with minimum granularity. Besides the resource definition model and the WSDL-based virtual resource description schema, we also design a virtual resource provisioning framework to confirm the implementation of our proposals. Both theoretical analysis and scenarios demonstration show that the proposed model and framework are effective in dynamic resource discovery and resource composition.
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Today, the Internet can be seen as a global market place populated by a huge number of providers and consumers that exchange data from a wide range of domains. The upcoming flood of data inside the World Wide Web forces the introd...
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Today, the Internet can be seen as a global market place populated by a huge number of providers and consumers that exchange data from a wide range of domains. The upcoming flood of data inside the World Wide Web forces the introduction of new technologies that can reduce this information overload. Data querying is a routine practice for many on-line services. Informative query answering may improve on-line shopping service by incorporating data integration techniques. In this paper, we propose an approach for informative query answering using Resource Description Framework Query Language (RDQL) and Resource Description Framework (RDF). The RDF is used to represent all instance information. RDQL queries RDF documents using SQL-alike syntax. And the mediator/wrapper approach is used for integrating heterogeneous data.
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摘要 :
Today, the Internet can be seen as a global market place populated by a huge number of providers and consumers that exchange data from a wide range of domains. The upcoming flood of data inside the World Wide Web forces the introd...
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Today, the Internet can be seen as a global market place populated by a huge number of providers and consumers that exchange data from a wide range of domains. The upcoming flood of data inside the World Wide Web forces the introduction of new technologies that can reduce this information overload. Data querying is a routine practice for many on-line services. Informative query answering may improve on-line shopping service by incorporating data integration techniques. In this paper, we propose an approach for informative query answering using Resource Description Framework Query Language (RDQL) and Resource Description Framework (RDF). The RDF is used to represent all instance information. RDQL queries RDF documents using SQL-alike syntax. And the mediator/wrapper approach is used for integrating heterogeneous data.
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