The Experts below are selected from a list of 36 Experts worldwide ranked by ideXlab platform

Dingding Li - One of the best experts on this subject based on the ideXlab platform.

  • ICPADS - Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

  • Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

Yong Tang - One of the best experts on this subject based on the ideXlab platform.

  • ICPADS - Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

  • Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

Lingxiao Chen - One of the best experts on this subject based on the ideXlab platform.

  • ICPADS - Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

  • Speeding Up Virtualized Transaction Logging with vTrans
    2016 IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS), 2016
    Co-Authors: Yong Tang, Lingxiao Chen, Dingding Li
    Abstract:

    In a virtualized environment, when multiple co-located relational database engines update their data Files on a shared storage device simultaneously, the Transaction Log Files, which be scattered within different guest image Files, introduce the random Logging I/O easily. To cope with this issue, we propose vTrans, a novel I/O driver of virtualized Transaction Log File. Generally, vTrans uses the split I/O driver design. In each guest operating system a front-end driver is added to identify the Transaction Logging semantic from specific database engine. At the hypervisor layer a dedicated back-end driver consolidates all Transaction Logging I/Os from guest font-end drivers and then persist them into a consecutive data area on the shared storage device, resulting in the relatively sequential Logging I/O. We implement vTrans in a QEMU system which deployed MySQL InnoDB database engine. The experimental result shows that vTrans can effectively improve the performance of random Logging I/O in a virtualized system.

Tingting Jiang - One of the best experts on this subject based on the ideXlab platform.

  • A clickstream data analysis of Chinese academic library OPAC users' information behavior
    Library & Information Science Research, 2017
    Co-Authors: Tingting Jiang
    Abstract:

    Chinese academic libraries have been devoting great effort into introducing next-generation online public access cataLogs (OPACs) in order to provide a better user experience. However, there is a lack of empirical research on their usage. In this study, a Transaction Log File from a typical next-generation OPAC, the Wuhan University Library OPAC, formed the basis for an investigation of users' information behavior, using a clickstream data analysis framework. The 26,732,368 clickstream records in the original Log File were cleaned, parsed, coded, then analyzed at the footprint, movement, and pathway levels. The results showed that the users relied heavily on the single-box simple search interface, seldom involved themselves in an exploratory search process, and preferred page navigation over search refinement when interacting with search results. The OPAC was used as a lookup tool to locate known academic resources and as a personal information management tool to utilize basic library services, instead of as a discovery tool as intended.

  • A Clickstream Data Analysis of Users' Information Seeking Modes in Social Tagging Systems
    iConference 2014 Proceedings, 2014
    Co-Authors: Tingting Jiang
    Abstract:

    Social tagging systems enable their users to access useful or interesting information resources in various ways. The purposes of this study are to identify the information seeking modes adopted by users in this context and to determine the popularity as well as effectiveness of these modes. A Transaction Log File obtained from Douban, the most influential Chinese-language social tagging system, was examined based on an original clickstream data analysis framework. The results show that encountering, browsing by resource/tag/user/group, searching, and monitoring by user/group are the major modes ever adopted. While browsing by resource is the most popular mode, browsing by tag is the most effective one. The research findings enrich our understanding of social tagging systems as vibrant information seeking environments and provide useful implications for their interface design.

Peter Williams - One of the best experts on this subject based on the ideXlab platform.

  • Comparing Web and touch screen Transaction Log Files.
    Journal of Medical Internet Research, 2001
    Co-Authors: David Nicholas, Paul Huntington, Peter Williams
    Abstract:

    BACKGROUND: Digital health information is available on a wide variety of platforms including PC-access of the Internet, Wireless Application Protocol phones, CD-ROMs, and touch screen public kiosks. All these platforms record details of user sessions in Transaction Log Files, and there is a growing body of research into the evaluation of this data. However, there is very little research that has examined the problems of comparing the Transaction Log Files of kiosks and the Internet. OBJECTIVES: To provide a first step towards examining the problems of comparing the Transaction Log Files of kiosks and the Internet. METHODS: We studied two platforms: touch screen kiosks and a comparable Web site. For both of these platforms, we examined the menu structure (which affects Transaction Log File data), the Log-File structure, and the metrics derived from Log-File records. RESULTS: We found substantial differences between the generated metrics. CONCLUSIONS: None of the metrics discussed can be regarded as an effective way of comparing the use of kiosks and Web sites. Two metrics stand out as potentially comparable and valuable: the number of user sessions per hour and user penetration of pages.