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With the increasing volume of spatial data, conventional vector data buffer analysis algorithms cannot meet the demands of fast data processing, so parallel computing is introduced to accelerate vector data analysis. However, it is difficult for these GIS platforms to adopt parallel approaches to conduct buffer analysis due to their conventional data format and vector buffer analysis algorithms. To...
During the past few years Special-purpose data mining systems have drawn great attraction in research and industry area for their application into real environments. In this paper, a new scalable spatial data mining architecture for POI(Points of Interest) datasets has been proposed on VegaGIS 3.0 platform to design and develop a professional spatial data mining system. Our research covers a wide...
Geometric correction with the compute intensive characteristic is the critical step in the processing of remote sensing image. As is known, the correction based on polynomial transform will lead to significant computing errors when applied to the region with fluctuant terrain. In this paper we present a novel and more precise parallel triangular geometric correction algorithm to deal with the image...
The fusion of remote sensing images can effectively combine two or more source images into a single image with more information of the spatial resolution and spectral information. In this paper we present a novel parallel fusion algorithm based on intensity-hue-saturation (IHS) transform and nonsubsampled contourlet transform (NSCT) to deal with the panchromatic (PAN) image and multispectral (MS)...
In this paper we introduced a new R-tree node splitting algorithm. As an indexing technique for multi-dimensional data, R-tree is widely used in geographical information systems, CAD systems and spatial databases. An R-tree consists of nodes which in turn consist of records. Each node in R-tree must contain limited number of records in order that it can be stored within one disk block, thus a node...
Hadoop framework has been widely used in various clusters to build large scale, high performance systems. However, Hadoop distributed file system (HDFS) is designed to manage large files and suffers performance penalty while managing a large amount of small files. As a consequence, many web applications, like WebGIS, may not take benefits from Hadoop. In this paper, we propose an approach to optimize...
Parallel architecture has been used for packet processing of high speed links. Essential to such architecture is a load balancer which responsible for packet dispatching. In this paper, we design an embedded system for high speed OC192 network traffic load balancing. In the system, incoming traffic is load-balanced to 12 processing engines through Ethernet. In order to reasonably dispatch traffic...
Nowadays more and more small transistors make microprocessors more susceptible to transient faults, and then induce control-flow errors. Software-based signature monitoring is widely used for control-flow error detection. When previous signature monitoring techniques are applied to RISC architectures, there exist some branch-errors that they can not detect. This paper proposes a novel software-based...
Traditionally, vector data management in geographic information system (GIS) applications often relies on general purposed database systems. However, the strict ACID semantics kept by database systems are not always necessary for most GIS applications to handle data in read-only mode. With the increasing quantity of vector data, the semantics mismatch has been becoming a critical challenge in keeping...
Many distributed applications and systems, e.g., an efficient implementation of distributed cache coherence protocol in distributed shared-memory systems, usually require efficient, reliable and scalable multicast capabilities from low-level interconnections. However, InfiniBand network, a high performance interconnection with low latency and high bandwidth, lacks the necessary reliable hardware multicast...
In today's data center, the demand on server I/O is increasing to transfer huge data between clients and servers or between two servers. Typically, conventional data center uses multiple network adapters to build the server fabric, which bring many drawbacks, such as complex management, hard scalability and expensive cost, and so on. Fortunately, InfiniBand provides a high-bandwidth, low-latency network,...
iSCSI implements the SAN technology over the Internet (TCP/IP) that brings economy and convenience whereas it also raises issues such as performance and reliability. While cache can be used to improve the performance of iSCSI system, cache inclusive will negatively influence the system's performance in multiple-level cache hierarchy. Moreover, traditional methods to get rid of this phenomenon are...
Clustered computing systems are emerging as a cost-effective alternative to custom parallel computers in recent years. The interconnection networks of clustered computing systems often consist of generic switches connected in an irregular topology. This irregularity makes traditional all-to-all broadcast algorithms for regular networks ineffective. We adopt another approach to improve all-to-all broadcast...
The Interval Routing Scheme (IRS) is a routing framework which provides a compressed routing table for efficient routing. The Multi-Node-Label Interval Routing Scheme (MNLIRS) is introduced, which extends IRS to support end-to-end fault-tolerant delivery. MNLIRS Routing has several key advantages: compressed routing table, simple routing algorithm, and fault-tolerant routing ability. Such advantages...
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