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Despite their proliferation as a dominant computing paradigm, cloud computing systems lack effective mechanisms to manage their vast amounts of resources efficiently. Resources are stranded and fragmented, ultimately limiting cloud systems' applicability to large classes of critical applications that pose non-moderate resource demands. Eliminating current technological barriers of actual fluidity...
According to the characteristics of aerospace computer products, this paper proposes aerospace computer productization work architecture and its detail implementations, which includes three key factors: product system plan, technical factors and management factors. By adopting this architecture, we can effectively improve the performance of aerospace computer productization.
The memory access limits the performance of stream processors. By exploiting the reuse of data held in the Stream Register File (SRF), an on-chip storage, the number of memory accesses can be reduced. In current stream compilers reuse is only attempted for simple stream references, those whose start and end are known. Compiler analysis from outside of stream processors does not directly enable the...
Hadoop and Storm are playing a significant role in Cloud Computing and either of them has its own applicable area. Cocktail is a new hybrid system that combines Hadoop and Storm into one single system, leveraging the functions of two computing frameworks. The design and implementation of Cocktail includes a SQL-like query language making the implementation of details transparent for users, an intelligent...
Small-cell architecture is widely adopted by cellular network operators to increase network capacity. By reducing the size of cells, operators can pack more (low-power) base stations in an area to better serve the growing demands, without causing extra interference. However, this approach suffers from low spectrum temporal efficiency. When a cell becomes smaller and covers fewer users, its total traffic...
The split architecture network assumes a logically centralized controller, which is physically separated from a large set of data plane forwarding switches. When the control plane becomes decoupled from the data plane, the requirement to the failure resilience and recovery mechanisms changes. In this work we investigate one of the most important practical issues in split architecture deployment, the...
In recent years, modern graphics processing units have been widely adopted in high performance computing areas to solve large scale computation problems. The leading GPU manufacturers Nvidia and ATI have introduced series of products to the market. While sharing many similar design concepts, GPUs from these two manufacturers differ in several aspects on processor cores and the memory subsystem. In...
This paper presents a survey on the Internet of Things. Firstly, the origination and the definition of the IoT are discussed. And then its technology framework and the features are mainly discussed in detail. Finally the application and challenges are introduced.
The popularity of the grid computing meets the requirement of intensive computing in virtual screening and speeds up the drug development process greatly. However, there is a great challenge to manage large-scale small molecules from different heterogeneous databases for virtual screening on grid. Additionally, the collection and analysis of a great quantity of distributed result data turned out to...
We present a comprehensive study on the performance and power consumption of a recent ATI GPU. By employing a rigorous statistical model to analyze execution behaviors of representative general-purpose GPU (GPGPU) applications, we conduct insightful investigations on the target GPU architecture. Our results demonstrate that the GPU execution throughput and the power dissipation are dependent on different...
Multi-agents system plays a critical role more and more in the research of distributed artificial intelligence. In a multi-agents system, the model structure is the precondition for multi-agents to cooperate to perform the assigned task. This paper gives the review of models for multi-agents system and their applications.
Dynamic test generation approach is becoming increasingly popular to find security vulnerabilities in software. More and more research institutes and organizations use this approach to find security vulnerabilities in binary code. However, the existing binary level dynamic test generation approaches and tools are not retargetable, and can only find vulnerabilities in binaries for a specific ISA. This...
Stream processors, with the stream programming model, have demonstrated significant performance advantages in the domains signal processing, multimedia and graphics applications. In this paper we examine the applicability of a stream processor to 2-D Jacobi iteration which is widely used to solve partial differential equations, an important class of scientific programs. We first map 2-D Jacobi iteration...
Stream processors, developed for the stream programming model, perform well on media applications. In this paper we examine the applicability of a stream processor to scientific computing applications. Eight scientific applications, each having different performance characteristics, are mapped to a stream processor. Due to the novelty of the stream programming model, we show how to map programs in...
The efficiency of scientific applications on the Imagine stream processor is increasingly concerned by researchers. One of the obstacles is that the programming language of Imagine does not target the scientific computing. This paper introduces a program transformation algorithm to automatically transform loops to the stream programs executed on Imagine. The optimization for memory accessing is also...
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