The Experts below are selected from a list of 57 Experts worldwide ranked by ideXlab platform

Chi-yo Huang - One of the best experts on this subject based on the ideXlab platform.

  • Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data
    EURASIA Journal of Mathematics Science and Technology Education, 2017
    Co-Authors: Chia Lee Yang, Chi-yo Huang, Yu Sheng Kao, Yi Lang Tasi
    Abstract:

    The most dramatic factor shaping the future of higher education is Big Data and analytics. In the Big Data era, the explosive growth of massive data manipulations imposes a heavy burden on computation, storage, and communication in data centers. Increasing uncertainties in information system availability have become a daily serious problem. An appropriate evaluation and selection of the right information system Disaster Recovery (DR) Site can ensure business continuity and investment optimization. Therefore, this research aims to establish an analytic framework for evaluating, selecting DR Sites for academic Big Data. The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. An empirical study based on a real Big Data DR application of an Asian high-performance computer center’s evaluation and selection of DR Sites for academic Big Data will be used to illustrate the feasibility of the proposed framework. The analytic results can serve as a foundation for information technology (IT) administrators’ strategies to reduce the performance gaps of a DR Site for Big Data manipulations in general, and academic Big Data manipulations in special.

  • Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method
    Sustainability, 2015
    Co-Authors: Chia Lee Yang, Benjamin J.c. Yuan, Chi-yo Huang
    Abstract:

    Disaster Recovery Sites are an important mechanism in continuous IT system operations. Such mechanisms can sustain IT availability and reduce business losses during natural or human-made Disasters. Concerning the cost and risk aspects, the IT Disaster-Recovery Site selection problems are multi-criterion decision making (MCDM) problems in nature. For such problems, the decision aspects include the availability of the service, Recovery time requirements, service performance, and more. The importance and complexities of IT Disaster Recovery Sites increases with advances in IT and the categories of possible Disasters. The modern IT Disaster Recovery Site selection process requires further investigation. However, very few researchers tried to study related issues during past years based on the authors’ extremely limited knowledge. Thus, this paper aims to derive the aspects and criteria for evaluating and selecting a modern IT Disaster Recovery Site. A hybrid MCDM framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) will be proposed to construct the complex influence relations between aspects as well as criteria and further, derive weight associated with each aspect and criteria. The criteria with higher weight can be used for evaluating and selecting the most suitable IT Disaster Recovery Sites. In the future, the proposed analytic framework can be used for evaluating and selecting a Disaster Recovery Site for data centers by public institutes or private firms.

Chia Lee Yang - One of the best experts on this subject based on the ideXlab platform.

  • Disaster Recovery Site Evaluations and Selections for Information Systems of Academic Big Data
    EURASIA Journal of Mathematics Science and Technology Education, 2017
    Co-Authors: Chia Lee Yang, Chi-yo Huang, Yu Sheng Kao, Yi Lang Tasi
    Abstract:

    The most dramatic factor shaping the future of higher education is Big Data and analytics. In the Big Data era, the explosive growth of massive data manipulations imposes a heavy burden on computation, storage, and communication in data centers. Increasing uncertainties in information system availability have become a daily serious problem. An appropriate evaluation and selection of the right information system Disaster Recovery (DR) Site can ensure business continuity and investment optimization. Therefore, this research aims to establish an analytic framework for evaluating, selecting DR Sites for academic Big Data. The proposed analytic framework is consisting of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based network process (DNP) and VIsekriterijumsko KOmpromisno Rangiranje (VIKOR) methods. An empirical study based on a real Big Data DR application of an Asian high-performance computer center’s evaluation and selection of DR Sites for academic Big Data will be used to illustrate the feasibility of the proposed framework. The analytic results can serve as a foundation for information technology (IT) administrators’ strategies to reduce the performance gaps of a DR Site for Big Data manipulations in general, and academic Big Data manipulations in special.

  • Key Determinant Derivations for Information Technology Disaster Recovery Site Selection by the Multi-Criterion Decision Making Method
    Sustainability, 2015
    Co-Authors: Chia Lee Yang, Benjamin J.c. Yuan, Chi-yo Huang
    Abstract:

    Disaster Recovery Sites are an important mechanism in continuous IT system operations. Such mechanisms can sustain IT availability and reduce business losses during natural or human-made Disasters. Concerning the cost and risk aspects, the IT Disaster-Recovery Site selection problems are multi-criterion decision making (MCDM) problems in nature. For such problems, the decision aspects include the availability of the service, Recovery time requirements, service performance, and more. The importance and complexities of IT Disaster Recovery Sites increases with advances in IT and the categories of possible Disasters. The modern IT Disaster Recovery Site selection process requires further investigation. However, very few researchers tried to study related issues during past years based on the authors’ extremely limited knowledge. Thus, this paper aims to derive the aspects and criteria for evaluating and selecting a modern IT Disaster Recovery Site. A hybrid MCDM framework consisting of the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) will be proposed to construct the complex influence relations between aspects as well as criteria and further, derive weight associated with each aspect and criteria. The criteria with higher weight can be used for evaluating and selecting the most suitable IT Disaster Recovery Sites. In the future, the proposed analytic framework can be used for evaluating and selecting a Disaster Recovery Site for data centers by public institutes or private firms.

Nur Izura Uzir - One of the best experts on this subject based on the ideXlab platform.

  • Framework Architecture on High Data Availability Server Virtualization for Disaster Recovery
    Journal of Telecommunication Electronic and Computer Engineering, 2018
    Co-Authors: Murizah Kassim, Maznifah Mohd Sahalan, Nur Izura Uzir
    Abstract:

    This paper presents a design and tested framework architecture on High Data Availability Server Virtualization for Disaster Recovery at one campus network centre. Today’s data information and knowledge are becoming most valuable commodity in business exchange and transactions where data need to be secured from cyber attackers and information security is a crucial needed. A propose architecture using server virtualization to provide high availability of data, through fast and high data through fast and high data Recovery on virtual infrastructure for Disaster Recovery is done. The architecture uses multi side network RAID to achieve return of time objectives (RTO) and return of point objectives (RPO) of the application in the organization. Method presents servers consolidation and multiple physical server applications are deployed onto the virtual machines (VM), which then run on a single (many real server apps usually are started on top of this exclusive products (VM), which then function using one) or fewer real high-end servers to achieve better performances compared to utilizing several or even hundreds of traditional servers. Security perimeters are used in the proposed architecture to maximize the data protection in the organization. The setup experiments of virtualization technologies using VMWare, Ranger Pro for backup and Trend Micro Deep Security tools. Three architecture framework are tested which presents automated data replication simulations from production Site to Disaster Recovery Site that creates an active-active environment. Results presented that Recovery Point Objective (RPO), Recovery Time Objective (RTO), data loss and data availability at 99.91 % of data are recovered during Recovery process using multi side network RAID. Thus this technique protects a larger share of Disaster Recovery workloads in terms of high availability and data protection.

Rick Morelan - One of the best experts on this subject based on the ideXlab platform.

  • SQL Server 2012 Alwayson Joes 2 Pros (R): A Tutorial for Implementing High Availability and Disaster Recovery Using Alwayson Availability Groups
    2013
    Co-Authors: Vinod Kumar, Balmukund Lakhani, Rick Morelan
    Abstract:

    Ask DBAs what their most dreaded situation would be. You will find they are very cautious in their production environments. For most people it would be the fear of production servers failing. A seasoned organization always performs mock drills to simulate Disasters and they failover to the DR (Disaster Recovery) Site to check their infrastructure resilience. It is a very common practice to perform these types of drills. There are documents DBAs have called Recovery procedures which are used by the team. SQL Server 2012 brought in some great new features and one of the important ones is scalability and performance via AlwaysOn. AlwaysOn is a superset feature and is a combination of many things you will learn about. As the language suggests, this technology achieves a SQL Server infrastructure that can be "always on". For businesses that run 24x7 downtime means the loss of business. This type of risk is out of the question for these businesses. This book discusses in detail the concepts of SQL Server AlwaysOn starting from the basics.

Marliana Dian Safitri - One of the best experts on this subject based on the ideXlab platform.

  • replikasi data sql server cluster menggunakan mirroring sql server virtual untuk Disaster Recovery Site
    SEMNASTEKNOMEDIA ONLINE, 2018
    Co-Authors: Nanang Sadikin, Marliana Sari, Marliana Dian Safitri
    Abstract:

    Database merupakan fungsi server untuk infrastruktur  teknologi informasi yang penting. Saat server database server terhenti, server aplikasi tidak bisa mengakses database layanan terhadap pengguna aplikasi terhenti. Kita bisa menggunakan beberapa server pada SQL Server cluster di satu data center untuk mencegah kegagalan perangkat keras. Namun, hal ini tidak bisa membantu jika data centernya sendiri mengalami bencana. Pada paper ini akan dijelaskan solusi untuk mengatasi data center utama yang mengalami bencana dimana SQL Server berada. Di sini kita akan menghubungkan  SQL Server Cluster yang merupakan server fisik yang berada di data center utama dengan SQL Server virtual yang berada di data center cadangan atau DRC, menggunakan fitur mirroring yang terdapat pada SQL Server. Kata kunci: Disaster Recovery, SQL Cluster, SQL Mirroring, Virtualization