This paper proposes a content addres sable storage optimization method, VDeskCAS, for desktop virtualization storage based disaster backup storage system. The method implements a blocklevel storage optimization, by em...
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This paper proposes a content addres sable storage optimization method, VDeskCAS, for desktop virtualization storage based disaster backup storage system. The method implements a blocklevel storage optimization, by employing the algorithms of chunking image file into blocks, the blockffmger calculation and the block dedup li cation. A File system in Use Space （FUSE） based storage process for VDeskCAS is also introduced which optimizes current direct storage to suit our content addressable storage. An interface level modification makes our system easy to extend. Experiments on virtual desktop image files and normal files verify the effectiveness of our method and above 60% storage volume decrease is a chieved for Red Hat Enterprise Linux image files. key words： disaster backup; desktop virtualization; storage optimization; content addressable storage
Recommendation algorithm based on collaborative filtering strategy has achieved great success in the field of personalized recommendation, However, based on collaborative filtering recommendation algorithm complexity ...
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ISBN:
(纸本)9781467319324
Recommendation algorithm based on collaborative filtering strategy has achieved great success in the field of personalized recommendation, However, based on collaborative filtering recommendation algorithm complexity is too high, over-fitting problem, the recommended accuracy requirements lead to the algorithm difficult to achieve in practical applications. Slope One algorithm greatly simplifies the complex process of collaborative filtering algorithm, dramatically reducing the recommended system and maintenance difficulty, but at the same time recommended the accuracy will decline. Recommended in order to take into account the recommendation algorithm of low complexity and high accuracy, the authors propose the improved algorithm based on the correct user similarity Slope One - USO algorithm The inspection results show that the algorithm can effectively improve the accuracy of the recommendation of the slope-one algorithm.
R-calculus is an inference system for deducing all possible changes when a theory is refuted by the facts. In this paper, we try to eliminate the cut rule in R-calculus by modifying the existing rules and by introduci...
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R-calculus is an inference system for deducing all possible changes when a theory is refuted by the facts. In this paper, we try to eliminate the cut rule in R-calculus by modifying the existing rules and by introducing new rules. The result is the R-calculus without the cut rule, which still preserves the reachability, soundness and completeness as R-calculus does. R-calculus without the cut rule is a formal inference system of logical connective symbols and quantifier symbols solely. It can serve as the theoretical foundation of the automation of revision calculus.
This paper proposes key SaaS (software-as-a-Service) design strategies for those SaaS systems that run on top of a commercial PaaS (Platform-as-a-Service) system such as GAE (Google App Engine)[1]. Specifically, this ...
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This paper proposes key SaaS (software-as-a-Service) design strategies for those SaaS systems that run on top of a commercial PaaS (Platform-as-a-Service) system such as GAE (Google App Engine)[1]. Specifically, this paper proposes a model-based approach for customization, multi-tenancy architecture, scalability, and redundancy & recovery techniques for GAE. The ACDATER (Actors, Conditions, Data, Actions, Timing, Events, and Relationship) model is used for various features, and then automated code generation is used to generate code based on the model specified. Simulation can be performed to ensure correctness before deployment.
Energy efficiency of data centers has attracted wide research attention with growing concern for power consumption and heat dissipation. Map Reduce as an efficient programming model for data-intensive computing is inc...
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In safety critical area, even the slightest error of the operating system could lead to a significant property damage or casualties. As a result, the safety of the RTOS (Real Time Operating System) must be improved. R...
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Gaussian Filtered Minimum Shift keying(GMSK) is used extensively in radio communication field nowadays;as frequency of radio signals increases, traditional technology such as DSP and FPGA can't satisfy the real-ti...
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Parallel file systems suffer performance degradation of small files generated by many workloads. We provide the systematic analysis of the small files problem from aspects of both parallel file system architecture and...
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Building a 3D geological model from field and subsurface data is a typical task in geological studies involving natural resource study. Constructing volume from surface model is an important step of the whole modeling...
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The separate development between the storage system and scientific application has hidden most of internal implementation strategies of the storage system from the scientific application designers. This would worsen t...
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