Cloud computing is based between the service provider and service consumer agreements and cloud data center is under a cloud computing environment that consists of hardware and software components. This paper studies ...
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Cloud computing is based between the service provider and service consumer agreements and cloud data center is under a cloud computing environment that consists of hardware and software components. This paper studies how to minimize the bandwidth cost for uploading deferral big data to a cloud computing platform, based on the MapReduce Framework. We first analysis the shortcoming of bandwidth of data centers, and we provide an optimization algorithm -- Dynamic Self-adaption Algorithm, it will reduce the cost of bandwidth of data centers. Dynamic Self-adaption Algorithm optimize the total cost of network bandwidth. Compared to a random selection algorithm, Dynamic Self-adaption Algorithm efficiently in this paper used of network peak to transfer data, and reduces the probability of spare channels appear to improve bandwidth utilization, so it reduces bandwidth costs.
The paper mainly uses a mixed strategy of data and task parallelism to realize parallel extraction date information of *** at the deficiency of ordinary pipeline mode for parallel extraction date information from invo...
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The paper mainly uses a mixed strategy of data and task parallelism to realize parallel extraction date information of *** at the deficiency of ordinary pipeline mode for parallel extraction date information from invoice,we explore a new method of load balanced pipeline based on multiple producers,using parallelism model of mixed data and task provided by TPL(the Task Parallel Library).Finally,it shows this load balanced pipeline program can almost get a linear speedup,which can reach 7.2x in a 8 cores system.
With the prompt evolution of Internet,network identity management is getting more and more *** electronic identities in cyberspace associated in reality have been one significant and urgent task as online life becomes...
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With the prompt evolution of Internet,network identity management is getting more and more *** electronic identities in cyberspace associated in reality have been one significant and urgent task as online life becomes *** this paper presents a network identity management platform architecture based on electronic identity(eID).Identity verification and attribute verification services are introduced as the most typical services with security and privacy to be used by personal users,enterprises,websites and foreign *** architecture and related technology could be widely applied to all kinds of real identity verification for personal security and privacy protection in cyberspace.
With the rapid development of network,network identity management is becoming more and more *** identity in cyberspace associated in reality has been one significant and urgent task as online life becomes *** this pap...
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With the rapid development of network,network identity management is becoming more and more *** identity in cyberspace associated in reality has been one significant and urgent task as online life becomes *** this paper gives a new network identity management systems model based on the present model,including a two-party identity management model,a three-party identity management model,and a user-centric five-party identity management *** new model made by new five parties can realize the network identity management under huge amounts of data and for all kinds of network identities,such as personal,organization,software,service,etc.,and the new network identity management model helps to identity management in cyberspace.
When a VM migrates among hosts residing in two IP subnets, the network attachment point of VM changed, which causes the IP mobility problem. It was meaningful to design and evaluate VM migration performance under the ...
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In this paper, we present a novel coding scheme called separate coding (SC) for collecting all data continuously in wireless sensor networks with a mobile base station (mBS). By separately encoding a certain number of...
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Cloud computing is a pattern of processing the big data and provides the convenient, on-demand network access to a shared pool of configurable computing resources. Cloud data center's cost is becoming the hot topi...
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ISBN:
(纸本)9781467394741
Cloud computing is a pattern of processing the big data and provides the convenient, on-demand network access to a shared pool of configurable computing resources. Cloud data center's cost is becoming the hot topic in recent years. This paper studies how to minimize the bandwidth cost for uploading deferral big data to a cloud computing platform, based on the MapReduce Framework. We study the deficiency of randomized online algorithm and Dynamic Self-adaption Algorithm, and we propose the improved algorithm to minimize the bandwidth cost based on DSA, and the results demonstrate that the IDSA' performance is better than the ROA and DSA.
With the fast development of online education, the volume of education data traffic increased dramatically. security information is potential to be mined from it. We can use data mining with some cloud computing platf...
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With the fast development of online education, the volume of education data traffic increased dramatically. security information is potential to be mined from it. We can use data mining with some cloud computing platform for malware detection because the data volume is huge. The online education institutions need to virtualize their data centers and build cloud infrastructure for better using resources. So they should move data centers from physical machines(PMs) to virtual machines(VMs) for implementing the virtualization. But there are some risks such as the loss of computing ability, performance decline and so on. In this paper, we do a series of experiments to test performance of data mining algorithm based on Hadoop in physical machines and virtual machines. Through these experiments, we find that the performance of data mining algorithm based on Hadoop depends on disk I/O performance of Hadoop. The disk I/O performance of Hadoop deployed in PMs is better than that in VMs. Some iterative algorithms like k-means need more disk I/O, so we don't advise using VMs for computing. Other basic algorithms like Bayes classification need less disk I/O, so we advise computing in the VMs.
With the coming of the era of big data, people are more concerned about data privacy. On the one hand, the users are more eager for fresh and low-latency search results than ever before. On the other hand, they do not...
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With the coming of the era of big data, people are more concerned about data privacy. On the one hand, the users are more eager for fresh and low-latency search results than ever before. On the other hand, they do not want to open the search criteria. To this end, this paper proposes a scalable distributed private stream search system, in which the search criteria is hidden by homomorphic encryption technique with three buffers. Most importantly, the system adopts shared-nothing architecture to support the horizontal scalability, and partitions the stream into segments to achieve parallel query and bitmap index-based storage. Experimental results show the effectiveness and efficiency of our method on private stream search.
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