• Title/Summary/Keyword: Access tree

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Adaptive Cell-Based Index For Moving Objects In Indoor

  • Shin, Soong-Sun;Kim, Gyoung-Bae;Bae, Hae-Young
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.7
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    • pp.1815-1830
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    • 2012
  • Existing R-tree that is based on a variety of outdoor-based techniques to manage moving objects have been investigated. Due to the different characteristics of the indoor and outdoor, it is difficult to management of moving object using existed methods in indoor setting. We propose a new index structure called ACII(adaptive Cell-based index for Indoor moving objects) for Indoor moving objects. ACII is Cell-based access structure adopting an overlapping technique. The ACII refines cells adaptively to handle indoor regional data, which may change its locations over time. The ACII consumed at most 30% of the space required by R-tree based methods, and achieved higher query performance compared with r-tree based methods.

Mobile User Behavior Pattern Analysis by Associated Tree in Web Service Environment

  • Mohbey, Krishna K.;Thakur, G.S.
    • Journal of Information Science Theory and Practice
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    • v.2 no.2
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    • pp.33-47
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    • 2014
  • Mobile devices are the most important equipment for accessing various kinds of services. These services are accessed using wireless signals, the same used for mobile calls. Today mobile services provide a fast and excellent way to access all kinds of information via mobile phones. Mobile service providers are interested to know the access behavior pattern of the users from different locations at different timings. In this paper, we have introduced an associated tree for analyzing user behavior patterns while moving from one location to another. We have used four different parameters, namely user, location, dwell time, and services. These parameters provide stronger frequent accessing patterns by matching joins. These generated patterns are valuable for improving web services, recommending new services, and predicting useful services for individuals or groups of users. In addition, an experimental evaluation has been conducted on simulated data. Finally, performance of the proposed approach has been measured in terms of efficiency and scalability. The proposed approach produces excellent results.

RDB-based XML Access Control Model with XML Tree Levels (XML 트리 레벨을 고려한 관계형 데이터베이스 기반의 XML 접근 제어 모델)

  • Kim, Jin-Hyung;Jeong, Dong-Won;Baik, Doo-Kwon
    • Journal of Digital Contents Society
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    • v.10 no.1
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    • pp.129-145
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    • 2009
  • As the secure distribution and sharing of information over the World Wide Web becomes increasingly important, the needs for flexible and efficient support of access control systems naturally arise. Since the eXtensible Markup Language (XML) is emerging as the de-facto standard format of the Internet era for storing and exchanging information, there have been recently, many proposals to extend the XML model to incorporate security aspects. To the lesser or greater extent, however, such proposals neglect the fact that the data for XML documents will most likely reside in relational databases, and consequently do not utilize various security models proposed for and implemented in relational databases. In this paper, we take a rather different approach. We explore how to support security models for XML documents by leveraging on techniques developed for relational databases considering object perspective. More specifically, in our approach, (1) Users make XML queries against the given XML view/schema, (2) Access controls for XML data are specified in the relational database, (3) Data are stored in relational databases, (4) Security check and query evaluation are also done in relational databases, and (5) Controlling access control is executed considering XML tree levels

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F-Tree : Flash Memory based Indexing Scheme for Portable Information Devices (F-Tree : 휴대용 정보기기를 위한 플래시 메모리 기반 색인 기법)

  • Byun, Si-Woo
    • Journal of Information Technology Applications and Management
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    • v.13 no.4
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    • pp.257-271
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    • 2006
  • Recently, flash memories are one of best media to support portable computer's storages in mobile computing environment. The features of non-volatility, low power consumption, and fast access time for read operations are sufficient grounds to support flash memory as major database storage components of portable computers. However, we need to improve traditional Indexing scheme such as B-Tree due to the relatively slow characteristics of flash operation as compared to RAM memory. In order to achieve this goal, we devise a new indexing scheme called F-Tree. F-Tree improves tree operation performance by compressing pointers and keys in tree nodes and rewriting the nodes without a slow erase operation in node insert/delete processes. Based on the results of the performance evaluation, we conclude that F-Tree indexing scheme outperforms the traditional indexing scheme.

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A Cost Model for the Performance Prediction of the TPR-tree (TPR-tree의 성능 예측을 위한 비용 모델)

  • 최용진;정진완
    • Journal of KIISE:Databases
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    • v.31 no.3
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    • pp.252-260
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    • 2004
  • Recently, the TPR-tree has been proposed to support spatio-temporal queries for moving objects. Subsequently, various methods using the TPR-tree have been intensively studied. However, although the TPR-tree is one of the most popular access methods in spatio-temporal databases, any cost model for the TPR-tree has not yet been proposed. Existing cost models for the spatial index such as the R-tree do not accurately ostinato the number of disk accesses for spatio-temporal queries using the TPR-tree, because they do not consider the future locations of moving objects. In this paper, we propose a cost model of the TPR-tree for moving objects for the first time. Extensive experimental results show that our proposed method accurately estimates the number of disk accesses over various spatio-temporal queries.

Fast Inter CU Partitioning Algorithm using MAE-based Prediction Accuracy Functions for VVC (MAE 기반 예측 정확도 함수를 이용한 VVC의 고속 화면간 CU 분할 알고리즘)

  • Won, Dong-Jae;Moon, Joo-Hee
    • Journal of Broadcast Engineering
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    • v.27 no.3
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    • pp.361-368
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    • 2022
  • Quaternary tree plus multi-type tree (QT+MTT) structure was adopted in the Versatile Video Coding (VVC) standard as a block partitioning tool. QT+MTT provides excellent coding gain; however, it has huge encoding complexity due to the flexibility of the binary tree (BT) and ternary tree (TT) splits. This paper proposes a fast inter coding unit (CU) partitioning algorithm for BT and TT split types based on prediction accuracy functions using the mean of the absolute error (MAE). The MAE-based decision model was established to achieve a consistent time-saving encoding with stable coding loss for a practical low complexity VVC encoder. Experimental results under random access test configuration showed that the proposed algorithm achieved the encoding time saving from 24.0% to 31.7% with increasing luminance Bjontegaard delta (BD) rate from 1.0% to 2.1%.

An Implementation and Evaluation of Large-Scale Dynamic Hashing Directories (대규모 동적 해싱 디렉토리의 구현 및 평가)

  • Kim, Shin-Woo;Lee, Yong-Kyu
    • Journal of Korea Multimedia Society
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    • v.8 no.7
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    • pp.924-942
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    • 2005
  • Recently, large-scale directories have been developed for LINUX cluster file systems to store and retrieve huge amount of data. One of them, GFS directory, has attracted much attention because it is based on extendible hashing, one of dynamic hashing techniques, to support fast access to files. One distinctive feature of the GFS directory is the flat structure where all the leaf nodes are located at the same level of the tree. Hut one disadvantage of the mode structure is that the height of the mode tree has to be increased to make the tree flat after a byte is inserted to a full tree which cannot accommodate it. Thus, one byte addition makes the height of the whole mode tree grow, and each data block of the new tree needs one more link access than the old one. Another dynamic hashing technique which can be used for directories is linear hashing and a couple of researches have shown that it can get better performance at file access times than extendible hashing. [n this research, we have designed and implemented an extendible hashing directory and a linear hashing directory for large-scale LINUX cluster file systems and have compared performance between them. We have used the semi-flat structure which is known to have better access performance than the flat structure. According to the results of the performance evaluation, the linear hashing directory has shown slightly better performance at file inserts and accesses in most cases, whereas the extendible hashing directory is somewhat better at space utilization.

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An Efficient Disk Block Allocation Method for XML Data (XML 데이타를 위한 효율적인 디스크 블록 할당 방법)

  • Kim, Jung-Hoon;Son, Jin-Hyun;Chung, Yon-Dohn;Kim, Myoung-Ho
    • Journal of KIISE:Databases
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    • v.34 no.5
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    • pp.465-472
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    • 2007
  • With the recent proliferation of the use of semi-structured data such as XML, it becomes more important to efficiently store and manage the semi-structured data. The XML data can be logically modelled as a rooted tree e.g., the DOM tree. In order to process a query on the XML data, we traverse the tree structure. In this paper we present an algorithm that places the XML data to disk blocks. The proposed algorithm assigns a number to each node of the tree in a bottom-up fashion. Then, the nodes are allocated to disk blocks using the assigned number. The proposed algorithm does not need access pattern information, and provides good performance for any access pattern. The characteristics of the proposed method are presented with analysis. Through experiments, we evaluate the performance of the proposed method.

The LR-Tree : A spatial indexing of spatial data supporting map generalization (LR 트리 : 지도 일반화를 지원하는 공간 데이터를 위한 공간 인덱싱)

  • Gwon, Jun-Hui;Yun, Yong-Ik
    • The KIPS Transactions:PartD
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    • v.9D no.4
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    • pp.543-554
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    • 2002
  • GIS (Geographic Information Systems) need faster access and better visualization. For faster access and better visualization in GIS, map generalization and levels of detail are needed. Existing spatial indexing methods do not support map generalization. Also, a few existing spatial indexing methods supporting map generalization do not support ail map generalization operations. We propose a new index structure, i.e. the LR-tree, supporting ail map generalization operations. This paper presents algorithms for the searching and updating the LR-tree and the results of performance evaluation. Our index structure works better than other spatial indexing methods for map generalization.

List Locking Protocol for XML Data Sharing (XML 데이터 공유를 위한 리스트 잠금 프로토콜)

  • Lee Eunjung
    • The KIPS Transactions:PartD
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    • v.11D no.7 s.96
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    • pp.1367-1374
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    • 2004
  • For sharing XML data by many users, a way of concurrency and access control is required for isolating update actions such as inserting and deleting subtrees. Exisiting locking mechanisms as 2PL or MGL suffer low concurrency when applied to tree structures. In this paper, list data subtrees model is proposed based on the semantics expressed in DTD. In this model, tree updating actions such as inserting and deleting subtrees are considered only for the repetitive parts of XML trees. The proposed model guarantees that the result XML tree after applying a tree updating action is always valid, even when multiple users access the tree at the same time. Also, a new locking mechanism called list lock-ing protocol is proposed. The new locking protocol is expected to show better accessility with less number of locking objects compared to the Helmer's OO2PL model. Since update actions on a shared XML tree usually applied to the repetitive parts of the tree, the proposed model is expected to provide a useful way for efficient data sharing when combined with previous locking methods on terminal node data.