Typical mobile P2P protocols largely relied on inflexible techniques such as, flooding, replicating, random walks and selective forwarding to route queries and discover objects of interest, which incur a relatively hi...
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Typical mobile P2P protocols largely relied on inflexible techniques such as, flooding, replicating, random walks and selective forwarding to route queries and discover objects of interest, which incur a relatively high search time due to remarkable network traffic, multiple copies and duplication of query messages. Recently proposed P2P protocols are able to reduce search time but due to peer mobility, these protocols cause low hit rate and high overhead. Thus, this article proposes novel fuzzy controller based probabilistic walk for unstructured mobile P2P networks to reduce search time. The search time is reduced by jumping a query walker to 2-hop away selected ultrapeer through fuzzy controller. Furthermore, each ultrapeer share its pong cache with its directly connected ultrapeer to increase hit rate and reduce network overhead. Simulations show that the fuzzy search controller gives better performance than the competing protocols in terms of reducing response time by 10% and increasing hit rate by 15% in different mobility scenarios.
Cloud computing is becoming increasingly prevalent, more and more software providers are offering their applications as Software-as-a-Service solutions rather than traditional on-premises installations. In order to en...
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Cloud computing is becoming increasingly prevalent, more and more software providers are offering their applications as Software-as-a-Service solutions rather than traditional on-premises installations. In order to ensure the efficacy of the testing phase, it is critical to create a test environment that sufficiently emulates the production environment. Thus, Cloud applications should be tested in the Cloud. Cloud providers offer command-line tools for interacting with their platforms. However, writing custom low-level scripts using the provider's tool can become very complex to maintain and manage when variability (in terms of providers and platforms) is introduced. The contributions in this paper include: the development of a high level Domain Specific Language for the abstract definition of the application deployment process, and resource requirements, and a generation process that transforms these definitions to automatically produce deployment and instantiation scripts for a variety of providers and platforms. These contributions significantly simplify and accelerate the testing process for Cloud applications.
Hadoop is a distributed software platform for processing big data on a large cluster, which implements core mechanism of Google's GFS and MapR educe. The MapR educe job scheduling algorithm is one of the core tech...
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Hadoop is a distributed software platform for processing big data on a large cluster, which implements core mechanism of Google's GFS and MapR educe. The MapR educe job scheduling algorithm is one of the core technologies of Hadoop. The default job scheduler of Hadoop is FIFO, which will start the job in the order as itis submitted, and this causes the job tobe started later when itis submitted later. This paper uses the round robin with a multiple feedback algorithm tosolve this problem. With this scheduler, the job which is submitted late, will get quick response and be started without long delay. And the results of experiments on the Hadoop benchmark GridM ix indicate that this algorithm can reduce the average response time by 10%-50%.
4G networks or the future generation networks are heterogeneous networks. Different technologies converge over th core and provide different services tothe user nodes Handover Managementin 4G network is an issue that ...
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4G networks or the future generation networks are heterogeneous networks. Different technologies converge over th core and provide different services tothe user nodes Handover Managementin 4G network is an issue that require attention. The Internet Engineering Task Force hav proposed varied protocols for mobility management. Th existing protocols for handover management donoconsider the effects of signal degradation during handove operations. This paper discusses the Noise Resilient Reduced Registration Time Care-of Mobile IP(NRRTC :MIP) protocofor handover management. A simulation study toevaluate th performance of theNRRTC :MIP is discussed in the paper Based on the simulation results, the reduction in handover latency and packet drop rates is proved.
Bloom Filters have been applied in many fields, including data base, network management, computer network, and computer communication etc., owing toits fast membership query and memory efficiency. In network field, Bl...
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Bloom Filters have been applied in many fields, including data base, network management, computer network, and computer communication etc., owing toits fast membership query and memory efficiency. In network field, Bloom Filters were used tolookup the forwarding tables in backbone routers and Data Centre switches. These solutions all build many Bloom Filters toachieve fast lookup. The main shortcoming of these solution is:toomany Bloom Filters require toomany hash computations and memory accesses, and the variety of Bloom Filter sizes poses challenges tosystem design and probably degrades the system performance. Toaddress this issues, we proposed Set absorption algorithm toreduce the number of Bloom Filters, while balancing the size of Bloom Filters. Experimental results showed that after using our algorithm, better performance of the Bloom Filter-based solutions was obtained.
Tosegment videoshot quickly and efficiently, a videoshot boundary detection algorithm which combine MacroBlock(MB) coding mode with Scale Invariant Feature Transform(SIFT feature point matching is proposed in this pap...
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Tosegment videoshot quickly and efficiently, a videoshot boundary detection algorithm which combine MacroBlock(MB) coding mode with Scale Invariant Feature Transform(SIFT feature point matching is proposed in this paper. Firstly, the MB coding mode is extracted from H.264/AVC bit stream tocalculat the intra coding MB ratioof a frame, according tointra coding MB ratio, some frames are selected out as candidate shoboundary frame;Secondly, the matching ratioof SIFT featur point matching of twoconsecutive candidate frames is calculated toexclude non-shot boundary frame and retain shot boundary frame. The experimental results indicate that proposed algorithm performs well on both cut and gradual shot boundary detection.
In this paper, we develop a 3-D segmentation framework for fully automatic liver contrast-enhanced CT images that uses shape-intensity prior level set combining probabilistic atlas and probability map constrains. We f...
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In this paper, we develop a 3-D segmentation framework for fully automatic liver contrast-enhanced CT images that uses shape-intensity prior level set combining probabilistic atlas and probability map constrains. We first weight all of the atlases in the selected training datasets by calculating the similarities between the atlases and the test dataset todynamically generate a subject-specific probabilistic atlas for the test *** on the generated probabilistic atlas, the most likely liver region(MLLR) of the test datasetis determined. Then, a rough segmentation is performed by a MAP classification of probability map. The final resultis obtained by applying a shape-intensity prior level set segmentation inside the MLLR implemented by narrowband technique. We validate our method on 10 liver cases by comparing our segmentation result with manually traced segmentation result. Experimental results show the effectiveness of the proposed method.
The existing intelligentintersection management solutions try toleverage global positioning, wireless communications, in-vehicle sensing and computation technologies toenable autonomous vehicles todrive through the no...
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The existing intelligentintersection management solutions try toleverage global positioning, wireless communications, in-vehicle sensing and computation technologies toenable autonomous vehicles todrive through the non-signal urban intersections safely and efficiently. Control policy as the brain of the whole system has a directimpact on system performance. This paper proposes a reservation-based control policy called Batch-Light which can make full use of existing Intelligent Transportation System(ITS) technologies tomake the management system adaptive toconstantly changing traffic. A greedy-based Conflict Matrix decision algorithm is proposed toget more vehicles reserve successfully on the premise of ensuring certain fairness. Furthermore, a k-Shift optimization algorithm is proposed tohelp some unlucky vehicles topass through the intersection as much as possible by acceleration or *** experiment results show that Batch-Light outperforms FCFS and traditional traffic signal control policy both in unbalanced traffic and balanced traffic.
As an important explicit rating approach, social tagging can not only describe resources but alsoreflect user's preferences. Therefore personalized recommendation based on social tagging has becoming a hot researc...
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As an important explicit rating approach, social tagging can not only describe resources but alsoreflect user's preferences. Therefore personalized recommendation based on social tagging has becoming a hot research direction. However,recommendation algorithms based on tags will encounter great data sparseness problem. In this paper, we process the original dataset by applying similarity propagation algorithm and popularity dimensionality reduction techniques. Hence the sparseness problem of the dataset can be partially solved. Finally,based on the high-quality dataset, we propose a hybrid recommendation algorithm. The experimental results show that our algorithm has a better performance than traditional pure content based or collaborative filtering recommendation algorithms.
Room acoustic simulation is an important part of computer application in acoustical design. By establishing the room model and enteri ng real building acoustic data, this paper provides acoustic predictions in order t...
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Room acoustic simulation is an important part of computer application in acoustical design. By establishing the room model and enteri ng real building acoustic data, this paper provides acoustic predictions in order toeliminate costly mistakes and reduce installation time. When used in acoustical design, the method of computer acoustic simulation is more efficient and convenient than the method of traditional scale model. In real life, failing projects caused by ignoring the architectural acoustical design meet the eye everywhere. Therefore, the accuracy of acoustic simulation software is critical,that's what this paper focuses on. We model the small theater in Communication University of China by EAS E. After analyzing the results of simulation and measure ment, the article points out the deficiency of the computer simulation precision while using EAS E software and puts forward the optimization scheme. The conclusion in this paper has important guiding significance for acoustic designers and software developers.
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