The Experts below are selected from a list of 19596 Experts worldwide ranked by ideXlab platform

Donal Fellows - One of the best experts on this subject based on the ideXlab platform.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    PLOS Biology, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers. We also outline the important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    bioRxiv, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers; we also outline important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

Wen-kang Jia - One of the best experts on this subject based on the ideXlab platform.

  • A Scalable Multicast Source Routing Architecture for Data Center Networks
    2016
    Co-Authors: Wen-kang Jia
    Abstract:

    Abstract—This paper introduces a new scalable, efficient and stateless source routing scheme to ensure that unified unicast and multicast packets can be delivered in the Data Center Networks (DCNs). This scheme, called Code-Oriented eXplicit multicast (COXcast), is based on unicast and eXplicit multicast (Xcast). It constructs the unicast path and multicast tree by encoding the corresponding output port bitmap of each intermediate node. Using a Common Identifier and a node-specific key, so packets can be self-routed to multiple receivers without requiring header modification. In addition, intermediate switches/routers on the path/tree can be stateless. Compared to traditional source-based unicasting and explicit-based multicasting schemes, COXcast has lowered the processing cost, protocol overhead and delivery latency, while simplifying the deployment and management of a large number of medium-scale multicast groups, especially when applied to large-scale DCNs. Index Terms—Code-Oriented eXplicit multicast (COXcast), eXplicit multicast (Xcast), source routing, Chinese Remainder Theorem (CRT), Data Center Networks (DCNs). I

  • a scalable multicast source routing architecture for data center networks
    IEEE Journal on Selected Areas in Communications, 2014
    Co-Authors: Wen-kang Jia
    Abstract:

    This paper introduces a new scalable, efficient and stateless source routing scheme to ensure that unified unicast and multicast packets can be delivered in the Data Center Networks (DCNs). This scheme, called Code-Oriented eXplicit multicast (COXcast), is based on unicast and eXplicit multicast (Xcast). It constructs the unicast path and multicast tree by encoding the corresponding output port bitmap of each intermediate node. Using a Common Identifier and a node-specific key, so packets can be self-routed to multiple receivers without requiring header modification. In addition, intermediate switches/routers on the path/tree can be stateless. Compared to traditional source-based unicasting and explicit-based multicasting schemes, COXcast has lowered the processing cost, protocol overhead and delivery latency, while simplifying the deployment and management of a large number of medium-scale multicast groups, especially when applied to large-scale DCNs.

Julie A Mcmurry - One of the best experts on this subject based on the ideXlab platform.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    PLOS Biology, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers. We also outline the important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    bioRxiv, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers; we also outline important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

Tony Burdett - One of the best experts on this subject based on the ideXlab platform.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    PLOS Biology, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers. We also outline the important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    bioRxiv, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers; we also outline important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

Tom Conlin - One of the best experts on this subject based on the ideXlab platform.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    PLOS Biology, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data are highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline 10 lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers. We also outline the important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.

  • Identifiers for the 21st century how to design provision and reuse persistent Identifiers to maximize utility and impact of life science data
    bioRxiv, 2017
    Co-Authors: Julie A Mcmurry, Navtej Juty, Niklas Blomberg, Tony Burdett, Tom Conlin, Nathalie Conte, Melanie Courtot, John Deck, Michel Dumontier, Donal Fellows
    Abstract:

    In many disciplines, data is highly decentralized across thousands of online databases (repositories, registries, and knowledgebases). Wringing value from such databases depends on the discipline of data science and on the humble bricks and mortar that make integration possible; Identifiers are a core component of this integration infrastructure. Drawing on our experience and on work by other groups, we outline ten lessons we have learned about the Identifier qualities and best practices that facilitate large-scale data integration. Specifically, we propose actions that Identifier practitioners (database providers) should take in the design, provision and reuse of Identifiers; we also outline important considerations for those referencing Identifiers in various circumstances, including by authors and data generators. While the importance and relevance of each lesson will vary by context, there is a need for increased awareness about how to avoid and manage Common Identifier problems, especially those related to persistence and web-accessibility/resolvability. We focus strongly on web-based Identifiers in the life sciences; however, the principles are broadly relevant to other disciplines.