Storage Network

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 123504 Experts worldwide ranked by ideXlab platform

Changsheng Xie - One of the best experts on this subject based on the ideXlab platform.

  • The Architecture and Performance Evaluation of iSCSI-Based United Storage Network Merging NAS and SAN
    Computing and Informatics \ Computers and Artificial Intelligence, 2012
    Co-Authors: Changsheng Xie, Ruifang Liu, Shenggang Pan
    Abstract:

    With the ever increasing volume of data in Networks, the traditional Storage architecture is greatly challenged; more and more people pay attention to Network Storage. Currently, the main technology of Network Storage is represented by NAS (Network Attached Storage) and SAN (Storage Area Network). They are different, but mutually complementary and used under different circumstances; however, both NAS and SAN may be needed in the same company. To reduce the TOC (total of cost), for easier implementation, etc., people hope to merge the two technologies. Additionally, the main interNetworking technology of SAN is the Fibre Channel; however, the major obstacles are in its poor interoperability, lack of trained staff, high implementation costs, etc. To solve the above-mentioned issues, this paper creatively introduces a novel Storage architecture called USN (United Storage Networks), which uses the iSCSI to build the Storage Network, and merges the NAS and SAN techniques supplying the virtues and overcoming the drawbacks of both, and provides both file I/O and block I/O service simultaneously.

  • The study on schedule policy of data transferring in Storage Network
    2010
    Co-Authors: Qiang Cao, Changsheng Xie
    Abstract:

    The I/O routine in Network Storage has longer transferring time and overhead than local I/O. To make good use of the Storage Network bandwidth and meet demand of concurrent I/O requests, we need to find the appropriate schedule policy for I/O requests at the level of the Network. The focus in the paper is on how to schedule concurrent I/O data transferring in share Storage Network, and to improve performance such as the response time affected by scheduling method. Our objective is to analyse the response time of concurrent requests as function of their schedule order such as the sequenced, parallel and hybrid policies. We then verify our results by both the analytical and experimental method.

  • The architecture and performance evaluation of iSCSI-based United Storage Network merging NAS and SAN
    International Journal of Computer Applications in Technology, 2004
    Co-Authors: Changsheng Xie, Ruifang Liu, Shenggang Pan
    Abstract:

    With the ever increasing amount of data in Network, the traditional Storage architecture is challenged greatly, more and more people are beginning to pay attention to Network Storage. Currently, the main technologies of Network Storage are Network Attached Storage (NAS) and Storage Area Network (SAN).They are different, but they are mutually complementary and used in different occasions, it is possible that both NAS and SAN are needed in the same company. To reduce the total of cost (TOC), and simple to implement and so on, people hope to merge the two technologies. Additionally, the main interNetworking technology of SAN is Fibre Channel, but its poor interoperability, lack of trained personnel and high implementation costs, etc., remain major obstacles. To solve the above-mentioned issues, this paper introduces creatively, a novel Storage architecture called United Storage Networks (USN), which uses the iSCSI to build the Storage Network, and merges the NAS and SAN, supplying the virtues and overcoming the drawbacks of the NAS and SAN, and providing both file I/O and block I/O service simultaneously.

  • IWNAS - An Analytical Model for Scheduling Policies in Storage Networks
    2006 International Workshop on Networking Architecture and Storages (IWNAS'06), 1
    Co-Authors: Qiang Cao, Changsheng Xie
    Abstract:

    The I/O routine in Network Storage has longer transferring time and overhead than local I/O. To well make use of the Storage Network bandwidth and meet demand of concurrent I/O requests, we need to find the appropriate schedule policy for I/O requests at the level of the Network. The focus in the paper is on how to schedule concurrent I/O data transferring in share Storage Network, and to improve performance such as the response time affected by scheduling method. Our objective is to analysis the response time of concurrent requests as function their schedule order such as the sequenced, parallel and hybrid policies. We then verify our results by both the analytical method and experiment.

Bartolomé Rubio - One of the best experts on this subject based on the ideXlab platform.

  • State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing
    Journal of Network and Computer Applications, 2016
    Co-Authors: Manuel Diaz, Cristian Martin, Bartolomé Rubio
    Abstract:

    The Internet of Things (IoT) is a paradigm based on the Internet that comprises many interconnected technologies like RFID (Radio Frequency IDentification) and WSAN (Wireless Sensor and Actor Networks) in order to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. However, the limitations of associated devices in the IoT in terms of Storage, Network and computing, and the requirements of complex analysis, scalability, and data access, require a technology like Cloud Computing to supplement this field. Moreover, the IoT can generate large amounts of varied data and quickly when there are millions of things feeding data to Cloud Computing. The latter is a clear example of Big Data, that Cloud Computing needs to take into account. This paper presents a survey of integration components: Cloud platforms, Cloud infrastructures and IoT Middleware. In addition, some integration proposals and data analytics techniques are surveyed as well as different challenges and open research issues are pointed out.

Xie Changsheng - One of the best experts on this subject based on the ideXlab platform.

  • Performance Evaluation of Multimedia Storage Based on Unified Storage Network
    Journal of Wuhan University of Technology, 2009
    Co-Authors: Xie Changsheng
    Abstract:

    On the basis of an analysis between the different Storage Network systems,this paper introduces a novel,Unified Storage Network called USN that can effectively consolidate the most prototypes of Storage Networking.At last,we have described a software USN implementation based on the TCP/IP protocol,and have given the performance evaluation and analysis in multimedia applications.

  • Security system in united Storage Network and its implementation
    Journal of Shanghai University (english Edition), 2005
    Co-Authors: Huang Jianzhong, Xie Changsheng
    Abstract:

    With development of Networked Storage and its applications, united Storage Network (USN) combined with Network attached Storage (NAS) and Storage area Network (SAN) has emerged. It has such advantages as high performance, low cost, good connectivity, etc. However the security issue has been complicated because USN responds to block I/O and file I/O requests simultaneously. In this paper, a security system module is developed to prevent many types of attacks against USN based on NAS head. The module not only uses effective authentication to prevent unauthorized access to the system data, but also checks the data integrity. Experimental results show that the security module can not only resist remote attacks and attacks from those who has physical access to the USN, but can also be seamlessly integrated into underlying file systems, with little influence on their performance.

  • Performance analysis of an iSCSI-based unified Storage Network.
    Journal of Zhejiang University. Science, 2004
    Co-Authors: Fu Xiang-lin, Zhang Kun, Xie Changsheng
    Abstract:

    In this paper, we introduced a novel Storage architecture “Unified Storage Network”, which merges NAC (Network Attached Channel) and SAN (Storage Area Network), and provides the file I/O services as NAS devices and provides the block I/O services as SAN. To overcome the drawbacks from FC, we employ iSCSI to implement the USN (Unified Storage Network). To evaluate whether iSCSI is more suitable for implementing the USN, we analyze iSCSI protocol and compare it with FC protocol from several components of a Network protocol which impact the performance of the Network. From the analysis and comparison, we can conclude that the iSCSI is more suitable for implementing the Storage Network than the FC under condition of the wide-area Network. At last, we designed two groups of experiments carefully.

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

  • Technology-Enhanced Infrastructure
    Smart Cities, 2018
    Co-Authors: Peter John Schemmel, John Joseph Schemmel, Evan Diane Humphries
    Abstract:

    The backbone of every city is a system of Infrastructure monitoringinfrastructure assets. Cities have a responsibility to their citizens to at least maintain, if not improve, the safety, functionality, environmental impact, and economic value of these structures. SensorSensor-monitoring technologies used in combination with Asset managementasset management strategies will help cities maintain their infrastructure. Sensors are just one component of a Technology-Enhanced Infrastructure (TEI)Technology-Enhanced Infrastructure (TEI) system. TEIs also include an array of physical assets; inventory of embedded, attached, and remote sensors; a robust communication and data Storage Network; and a cohort of asset managers. This chapter examines each component of a TEI system and provides two examples of the use of sensors to monitor infrastructure assets.

  • Technology-Enhanced Infrastructure
    Smart Cities, 2017
    Co-Authors: Peter John Schemmel, John Joseph Schemmel, Evan Humphries
    Abstract:

    The backbone of every city is a system of infrastructure assets. Cities have a responsibility to their citizens to at least maintain, if not improve, the safety, functionality, environmental impact, and economic value of these structures. Sensor-monitoring technologies used in combination with asset management strategies will help cities maintain their infrastructure. Sensors are just one component of a Technology-Enhanced Infrastructure (TEI) system. TEIs also include an array of physical assets; inventory of embedded, attached, and remote sensors; a robust communication and data Storage Network; and a cohort of asset managers. This chapter examines each component of a TEI system and provides two examples of the use of sensors to monitor infrastructure assets.

Manuel Diaz - One of the best experts on this subject based on the ideXlab platform.

  • State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing
    Journal of Network and Computer Applications, 2016
    Co-Authors: Manuel Diaz, Cristian Martin, Bartolomé Rubio
    Abstract:

    The Internet of Things (IoT) is a paradigm based on the Internet that comprises many interconnected technologies like RFID (Radio Frequency IDentification) and WSAN (Wireless Sensor and Actor Networks) in order to exchange information. The current needs for better control, monitoring and management in many areas, and the ongoing research in this field, have originated the appearance and creation of multiple systems like smart-home, smart-city and smart-grid. However, the limitations of associated devices in the IoT in terms of Storage, Network and computing, and the requirements of complex analysis, scalability, and data access, require a technology like Cloud Computing to supplement this field. Moreover, the IoT can generate large amounts of varied data and quickly when there are millions of things feeding data to Cloud Computing. The latter is a clear example of Big Data, that Cloud Computing needs to take into account. This paper presents a survey of integration components: Cloud platforms, Cloud infrastructures and IoT Middleware. In addition, some integration proposals and data analytics techniques are surveyed as well as different challenges and open research issues are pointed out.