In grid and cloud computing infrastructures, the integrity of a computing platform is a critical security requirement in order to provide secure and honest computing environments to service providers and resource cons...
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In grid and cloud computing infrastructures, the integrity of a computing platform is a critical security requirement in order to provide secure and honest computing environments to service providers and resource consumers. However, due to the fact that software components running on a single platform are usually provided and maintained by different authorities which are potentially untrusted to each other, the problem to monitor and protect runtime system integrity become very challenging and has not been well addressed yet. In this paper, we present a virtualization based dynamic integrity protection method which ensures that only appropriate authorities can control over their components without interfering with other component providers or authorities. In our solution, integrity requirements defined by the authorities of upper components (e.g., service middleware and applications) are respected by preventing the underlying components (e.g., operating system) from exposing their sensitive data, which can be caused by update of the underlying components or other malicious actions. We implement our solution on Xen-based platform, and our evaluation results show that the solution is effective for integrity protection with acceptable performance overhead.
We design a complete platform of wireless acoustic sensor network, featuring with compressive sampling and adaptive sampling. The compressive sampling is a new theory that combines sampling and compression into a sing...
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ISBN:
(纸本)9780889868106
We design a complete platform of wireless acoustic sensor network, featuring with compressive sampling and adaptive sampling. The compressive sampling is a new theory that combines sampling and compression into a single linear measurement process. It captures signals at a rate significantly below the Nyquist rate, and recovers exactly the original signals using convex optimization or greedy algorithm. In addition, we adopt an adaptive sampling scheme, in which the sampling rates can be changed with the running stages. The detective stage works at a lower rate than the monitoring stage. There is only one sensor node running at monitoring stage for the interested event. Through experiments, we illustrate that the wireless acoustic sensor network we built achieves dramatic low sampling rate and utilizes the network bandwidth much more effective.
The highlight line model is a powerful tool in assessing the quality of a surface. It increases the flexibility of an interactive design environment. In this paper, a method to generate a highlight line model on an ar...
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The highlight line model is a powerful tool in assessing the quality of a surface. It increases the flexibility of an interactive design environment. In this paper, a method to generate a highlight line model on an arbitrary triangular mesh is presented. Based on the highlight line model, a technique to remove local shape irregularities of a triangular mesh is then presented. The shape modification is done by solving a minimization problem and performing an iterative procedure. The new technique improves not only the shape quality of the mesh surface, but also the shape of the highlight line model. It provides an intuitive and yet suitable method for locally optimizing the shape of a triangular mesh.
In order to improve the resource utilization of virtual machine and control the resource allocation online effectively, in this paper, we present a grey prediction control model used for dynamic resource allocation in...
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In order to improve the resource utilization of virtual machine and control the resource allocation online effectively, in this paper, we present a grey prediction control model used for dynamic resource allocation in virtual machine as workloads changing. First, we forecast the allocation of virtualized resources by the grey control model. We also adjust the boundary conditions of grey prediction model to make the prediction more accurately. Then, the control theory is used to feedback control resource utilization to obtain desired resource utilization levels by regulating the value of allocation of virtualized resources automatically. Our experimental results show the grey control model is effective in the virtualized resource allocation. The control model and algorithm can be applied to other resource allocation.
How to meet the QoS of the applications and improve resource utilization is an important problem in virtualized environment. In this paper, we propose a utility based resource allocation policy with QoS constrained in...
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How to meet the QoS of the applications and improve resource utilization is an important problem in virtualized environment. In this paper, we propose a utility based resource allocation policy with QoS constrained in virtualized environment. Firstly, we build a model reflecting the mapping relation between performance metrics and resource allocation through Web server benchmarking experiments. Then, we devise a utility function as objective to optimizing the total utility and achieving a reasonable resource allocation. Finally, based on the model and the requirements of the applications QoS, we present an optimized policy for resource allocation in virtualized system. The simulation results show that the utility-based policy is effective to allocate resource from user perspective while improving the resource utilization.
This paper is mainly concerned with the study of the PBG (Photonic Band Gap) in 2D photonic crystal which consists of a hexagonal lattice of circular dielectric rods with Polyethylene. The result indicates that its PB...
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Traditional commercial instruments utilized in vision screening programs cannot satisfy the request for real-time diopter measurement by far, and their success is limited by some defectiveness such as computer-attache...
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This paper describes the scheme of thread migration in a language virtual machine LAOVM - lightweight application-oriented virtual machine. To maintain high portability and flexibility, thread migration is implemented...
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This paper describes the scheme of thread migration in a language virtual machine LAOVM - lightweight application-oriented virtual machine. To maintain high portability and flexibility, thread migration is implemented at language level. To migrate process or thread in runtime in LAOVM, the following issues are addressed: (1) supporting kinds of applications implemented by different programming language; (2) enabling transparent process migration indifferent operating system; (3) implementing fine-grained mobility. Experimental results show that the downtime of thread migration is reasonably small, even the application runtime image is required for occupying massive memory blocks.
Future mobile devices are expected to access different networks (such as 3rd generation network, WLAN, Bluetooth, Internet, and etc). Hence many sensitivity data are stored in them. How to protect the security of info...
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Efficient rendering of complex scenes has receive great attention in real-time computer graphics. Current researches are mostly concentrated on reducing the geometric complexity of the scene model such as reconstructi...
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Efficient rendering of complex scenes has receive great attention in real-time computer graphics. Current researches are mostly concentrated on reducing the geometric complexity of the scene model such as reconstructing an LOD representation, performing visibility culling etc. However, the rendering process of complex scenes involves not only the geometric information of each object, but also multiple attributes, including lighting, material, texture, etc. The invocation of each attribute corresponds to a specific state in the rendering pipeline, frequent transfer between different states in the pipeline will introduce large amount of overhead, hence reducing the rendering efficiency. A rendering method accounting for efficient invocation of multiple attributes of objects based on state transition optimization strategies is presented. It estimates the cost for invoking each attribute of objects in the rendering pipeline and expresses the transitions between various render states as a weighted directed graph. Then the optimized sequence of state transition is obtained by optimization. Experimental results show that our proposed method can effectively reduce the overhead of state transition and improve the rendering efficiency of scenes containing large amounts of multi-attribute objects.
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