Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the operating efficiency of cloud computing. ...
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Developing trusted QoS architecture is important for wireless multimedia sensornetworks considering various applications with different QoS requirements. First, the diverse multimedia traffic were analyzed and classi...
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With the development of the Internet of Things, data islands and information redundancy which caused by massive heterogeneous data has become a challenge of many commercial applications and scientific research hot spo...
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ISBN:
(纸本)9781479970926
With the development of the Internet of Things, data islands and information redundancy which caused by massive heterogeneous data has become a challenge of many commercial applications and scientific research hot spots. First, we proposed and designed a MapReduce data integration and data fusion architecture, then, we established a stable information processing environment and a unified information retrieval interface for users, and then we analyzed MapReduce implementation processes, management processes, and the connection process. Meanwhile we proposed a conflict processing algorithms in processing heterogeneous redundant data problems by using metadata, and applied them to the processing of creating the virtual database using MapReduce technology, eliminating the redundant information to enhance the utilization of data space. Finally, we established the bench system to provide a unified heterogeneous data programming interface and memory management with heterogeneous data integration and fusion for users in our developed platform USPIOT (Ubiquitous Service Platform for Internet Of Things) and achieved better results.
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update clus...
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ISBN:
(纸本)9781479959716
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update cluster centre and the threshold dynamically. Besides, consistent hashing is combined to solve the fault tolerance and scalability issues. In addition, Case-Based Reasoning (CBR) algorithm and item-based Coordination Filtering (CF) algorithms are used for filling sparse matrix to achieve better effect on the user-based clustering. Simulation results show that compared with data placement strategy based on K-means algorithm, this data placement strategy significantly improves clustering accuracy, greatly reduces delay of processing data and increases database scalability and redundancy, thereby improving the efficiency of cloud computing.
The Delay/Disruption Tolerant network (DTN) is characterized with intermittently connectivity and frequent partitions. Due to this, the DTN routing algorithm is very vulnerable to various kinds of malicious attacks. I...
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ISBN:
(纸本)9781479970926
The Delay/Disruption Tolerant network (DTN) is characterized with intermittently connectivity and frequent partitions. Due to this, the DTN routing algorithm is very vulnerable to various kinds of malicious attacks. In this paper, combined with many other DTN forwarding approaches, we propose a multi-stage routing forwarding algorithm so as to further improve network throughput. To ensure the security advantages of multi-period routing, we also need to take the efficiency of the routing algorithm into account. The concept of trade-off coefficient is introduced in this paper in order to balance the security and efficiency. Through the security analysis and simulation result, we can reach the conclusion that by setting a reasonable trade-off factor, the mechanism can effectively resist the joint attack and also optimize the network performance.
Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper...
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ISBN:
(纸本)9781479959716
Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper proposes a green cloud task-scheduling algorithm (GCTA) based on the improved binary particle swarm optimization(BPSO). The main contribution of our work is avoiding matrix operations by using pipelined number for virtual machines and redefining the position and velocity of particle. Simulation shows that the proposed GCTA has less execution time, and reduces resource consumption accordingly.
One of the basic problems in cryptography is the generation of a common secret key between two legitimate parties in order to prevent eavesdropping. In this paper, we develop an information-theoretic secret key genera...
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This paper presents an efficient service similarity matchmaking method that considers complex QoS structures and attributes because sole consideration of QoS constraint becomes insufficient to handle sophisticated con...
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The Lorentzian hard thresholding pursuit algorithm is proposed in this paper to achieve efficient reconstruction for compressed sensing in the presence of impulsive noise. In the Lorentzian hard thresholding pursuit a...
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Security is an important factor which influences the application of the wireless multimedia sensornetworks. And Multipath routing is an effective approach to transmit large multimedia dada in sensornetworks. This pa...
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