The Experts below are selected from a list of 213 Experts worldwide ranked by ideXlab platform

Shyan-ming Yuan - One of the best experts on this subject based on the ideXlab platform.

  • SC² - UCS — A Unified Cloud Storage Integration Service
    2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2020
    Co-Authors: Che-pin Chang, Hsin-ta Chiao, Yue-shan Chang, Ching-tsorng Tsai, Kuo-kai Yuen, Shyan-ming Yuan
    Abstract:

    Although cloud storage Integration Services have been developed in recent years that providing a single interface to manage multiple cloud storage accounts across different providers, these cloud storage Integration Services still remain several issues that do not address. First, because these Services do not support arrangement mechanisms for users, they need to keep track of which account they want to upload files to and arrange their storage spaces manually. Second, since each account is divided into different sections, it is impossible to provide a virtual folder that contains files from different cloud storage providers. In addition, when all accounts are nearly full, Integration Services could not chunk a file to store it across multiple accounts. Third, uploading and moving files across accounts are always done through the Integration Service's server, which might become a bottleneck when there are a lot of users uploading files at the same time. In this paper, we propose a new cloud storage Integration Service - Unified Cloud Storage (UCS) for solving the above-mentioned issues, and evaluate its performance by experiments.

  • UCS — A Unified Cloud Storage Integration Service
    2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2017
    Co-Authors: Che-pin Chang, Hsin-ta Chiao, Yue-shan Chang, Ching-tsorng Tsai, Kuo-kai Yuen, Shyan-ming Yuan
    Abstract:

    Although cloud storage Integration Services have been developed in recent years that providing a single interface to manage multiple cloud storage accounts across different providers, these cloud storage Integration Services still remain several issues that do not address. First, because these Services do not support arrangement mechanisms for users, they need to keep track of which account they want to upload files to and arrange their storage spaces manually. Second, since each account is divided into different sections, it is impossible to provide a virtual folder that contains files from different cloud storage providers. In addition, when all accounts are nearly full, Integration Services could not chunk a file to store it across multiple accounts. Third, uploading and moving files across accounts are always done through the Integration Service's server, which might become a bottleneck when there are a lot of users uploading files at the same time. In this paper, we propose a new cloud storage Integration Service - Unified Cloud Storage (UCS) for solving the above-mentioned issues, and evaluate its performance by experiments.

M. Mirto - One of the best experts on this subject based on the ideXlab platform.

  • A semantic grid-based data access and Integration Service for bioinformatics
    CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid 2005., 2005
    Co-Authors: G. Aloisio, M. Cafaro, I. Epicoco, S. Fiore, M. Mirto
    Abstract:

    Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and Integration (DAI) Service, based on the grid paradigm, for the bioinformatics domain. This Service uses ontologies for correlating different data sets. The DAI proposed in this work is a fundamental component of the ProGenGrid system, a grid-enabled platform, which aims at the design and implementation of a virtual laboratory where e-scientists could simulate complex "in silico" experiments, composing some popular analysis and visualization tools (e.g. Blast and Rasmol) available as Web Services, into a workflow. The main goal of the DAI is to provide bioinformatics tools with advanced functionalities and data Integration Services for heterogeneous biological data banks, such as PDB and Swiss-Prot. A case study of our specialized data access Service for locating similar protein sequences is presented.

  • CCGRID - A semantic grid-based data access and Integration Service for bioinformatics
    CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid 2005., 2005
    Co-Authors: Giovanni Aloisio, Sandro Fiore, M. Cafaro, I. Epicoco, M. Mirto
    Abstract:

    Given the heterogeneous nature of biological data and their intensive use in many tools, in this paper we propose a semantic data access and Integration (DAI) Service, based on the grid paradigm, for the bioinformatics domain. This Service uses ontologies for correlating different data sets. The DAI proposed in this work is a fundamental component of the ProGenGrid system, a grid-enabled platform, which aims at the design and implementation of a virtual laboratory where e-scientists could simulate complex "in silico" experiments, composing some popular analysis and visualization tools (e.g. Blast and Rasmol) available as Web Services, into a workflow. The main goal of the DAI is to provide bioinformatics tools with advanced functionalities and data Integration Services for heterogeneous biological data banks, such as PDB and Swiss-Prot. A case study of our specialized data access Service for locating similar protein sequences is presented.

Chunming Rong - One of the best experts on this subject based on the ideXlab platform.

  • Multiple Data Integration Service
    2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014
    Co-Authors: Xin Hong, Chunming Rong
    Abstract:

    Traditional database system can not handle data sharing in heterogeneous environment. With explosion of data flood, how to provide multiple data Integration Service is taken into account.This paper proposes a cloud data Service architecture which provides multiple data Integration and sharing to the distributed client. At the same time, it provides three level data security to protect sensitive data in the Cloud Data Service Platform. Data Client can keep private data in local database, and choose data to upload to Data Service Center .Meanwhile, Data Service Center stores different data backup version. Data Client can synchronous data with Data Service Center, and choose the data version to be synchronizing.In this article, multiple data can be shared and exchanged between server and client in distributed system. Comparing to the other cloud data Service system Amazon S3, Walrus and Nimbus Storage Service, the system has the priority both in algorithm and application. The method is efficiency in the cloud data Service platform.

  • AINA Workshops - Multiple Data Integration Service
    2014 28th International Conference on Advanced Information Networking and Applications Workshops, 2014
    Co-Authors: Xin Hong, Chunming Rong
    Abstract:

    Traditional database system can not handle data sharing in heterogeneous environment. With explosion of data flood, how to provide multiple data Integration Service is taken into account.This paper proposes a cloud data Service architecture which provides multiple data Integration and sharing to the distributed client. At the same time, it provides three level data security to protect sensitive data in the Cloud Data Service Platform. Data Client can keep private data in local database, and choose data to upload to Data Service Center .Meanwhile, Data Service Center stores different data backup version. Data Client can synchronous data with Data Service Center, and choose the data version to be synchronizing.In this article, multiple data can be shared and exchanged between server and client in distributed system. Comparing to the other cloud data Service system Amazon S3, Walrus and Nimbus Storage Service, the system has the priority both in algorithm and application. The method is efficiency in the cloud data Service platform.

Che-pin Chang - One of the best experts on this subject based on the ideXlab platform.

  • SC² - UCS — A Unified Cloud Storage Integration Service
    2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2020
    Co-Authors: Che-pin Chang, Hsin-ta Chiao, Yue-shan Chang, Ching-tsorng Tsai, Kuo-kai Yuen, Shyan-ming Yuan
    Abstract:

    Although cloud storage Integration Services have been developed in recent years that providing a single interface to manage multiple cloud storage accounts across different providers, these cloud storage Integration Services still remain several issues that do not address. First, because these Services do not support arrangement mechanisms for users, they need to keep track of which account they want to upload files to and arrange their storage spaces manually. Second, since each account is divided into different sections, it is impossible to provide a virtual folder that contains files from different cloud storage providers. In addition, when all accounts are nearly full, Integration Services could not chunk a file to store it across multiple accounts. Third, uploading and moving files across accounts are always done through the Integration Service's server, which might become a bottleneck when there are a lot of users uploading files at the same time. In this paper, we propose a new cloud storage Integration Service - Unified Cloud Storage (UCS) for solving the above-mentioned issues, and evaluate its performance by experiments.

  • UCS — A Unified Cloud Storage Integration Service
    2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2), 2017
    Co-Authors: Che-pin Chang, Hsin-ta Chiao, Yue-shan Chang, Ching-tsorng Tsai, Kuo-kai Yuen, Shyan-ming Yuan
    Abstract:

    Although cloud storage Integration Services have been developed in recent years that providing a single interface to manage multiple cloud storage accounts across different providers, these cloud storage Integration Services still remain several issues that do not address. First, because these Services do not support arrangement mechanisms for users, they need to keep track of which account they want to upload files to and arrange their storage spaces manually. Second, since each account is divided into different sections, it is impossible to provide a virtual folder that contains files from different cloud storage providers. In addition, when all accounts are nearly full, Integration Services could not chunk a file to store it across multiple accounts. Third, uploading and moving files across accounts are always done through the Integration Service's server, which might become a bottleneck when there are a lot of users uploading files at the same time. In this paper, we propose a new cloud storage Integration Service - Unified Cloud Storage (UCS) for solving the above-mentioned issues, and evaluate its performance by experiments.

Sherif Sakr - One of the best experts on this subject based on the ideXlab platform.

  • MyDeepWeb: An Integration Service for Your OWN Deep Web Data
    2011 IEEE International Conference on Services Computing, 2011
    Co-Authors: Sherif Sakr
    Abstract:

    Current Web users usually have their own files, work documents, communications and personal contacts distributed in the storage systems of many widely-used Internet Services(e.g. Google Docs, Gmail, Facebook, Zoho). Therefore, they face the challenge of being not able to have an integrated view for their related data objects (e.g. mails, pics, docs, contacts). Recently, most of the major Internet Services provide standard APIs that allow developing software applications that can read and write data from their underlying data store after providing the credential access information of registered accounts. The MyDeepWeb system is designed to let the Web users interact with their Internet Services normally while, behind the scene, the information of their objects will be extracted, consolidated, linked and then populated into a single private cloud-based data store where the user can have integrated access to their data objects from anywhere through multiple devices.