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Remote data retrieval for bioinformatics applications: an agent migration approach.

Gao L, Dai H, Zhang TL, Chou KC - PLoS ONE (2011)

Bottom Line: However, most of them require researchers to remain online and wait for returned results.Presented in this paper are also the system architecture, the migration strategy, as well as the security authentication of agent migration.As a demonstration, the remote data retrieval from GenBank was used to illustrate the feasibility of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: College of Information Sciences and Technology, Donghua University, Shanghai, China. dr.leigao@gmail.com

ABSTRACT
Some of the approaches have been developed to retrieve data automatically from one or multiple remote biological data sources. However, most of them require researchers to remain online and wait for returned results. The latter not only requires highly available network connection, but also may cause the network overload. Moreover, so far none of the existing approaches has been designed to address the following problems when retrieving the remote data in a mobile network environment: (1) the resources of mobile devices are limited; (2) network connection is relatively of low quality; and (3) mobile users are not always online. To address the aforementioned problems, we integrate an agent migration approach with a multi-agent system to overcome the high latency or limited bandwidth problem by moving their computations to the required resources or services. More importantly, the approach is fit for the mobile computing environments. Presented in this paper are also the system architecture, the migration strategy, as well as the security authentication of agent migration. As a demonstration, the remote data retrieval from GenBank was used to illustrate the feasibility of the proposed approach.

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A demonstration of the start and end positions of a genome sequence of S protein.
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Related In: Results  -  Collection


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pone-0020949-g004: A demonstration of the start and end positions of a genome sequence of S protein.

Mentions: After the mobile agent is allowed to execute tasks in the destination node (a GenBank server), firstly, the mobile agent is required to obtain the start and end positions of a genome sequence of S protein by finding the information “/product = ‘spike glycoprotein’”, as shown in the blank box of Figure 4.


Remote data retrieval for bioinformatics applications: an agent migration approach.

Gao L, Dai H, Zhang TL, Chou KC - PLoS ONE (2011)

A demonstration of the start and end positions of a genome sequence of S protein.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3119054&req=5

pone-0020949-g004: A demonstration of the start and end positions of a genome sequence of S protein.
Mentions: After the mobile agent is allowed to execute tasks in the destination node (a GenBank server), firstly, the mobile agent is required to obtain the start and end positions of a genome sequence of S protein by finding the information “/product = ‘spike glycoprotein’”, as shown in the blank box of Figure 4.

Bottom Line: However, most of them require researchers to remain online and wait for returned results.Presented in this paper are also the system architecture, the migration strategy, as well as the security authentication of agent migration.As a demonstration, the remote data retrieval from GenBank was used to illustrate the feasibility of the proposed approach.

View Article: PubMed Central - PubMed

Affiliation: College of Information Sciences and Technology, Donghua University, Shanghai, China. dr.leigao@gmail.com

ABSTRACT
Some of the approaches have been developed to retrieve data automatically from one or multiple remote biological data sources. However, most of them require researchers to remain online and wait for returned results. The latter not only requires highly available network connection, but also may cause the network overload. Moreover, so far none of the existing approaches has been designed to address the following problems when retrieving the remote data in a mobile network environment: (1) the resources of mobile devices are limited; (2) network connection is relatively of low quality; and (3) mobile users are not always online. To address the aforementioned problems, we integrate an agent migration approach with a multi-agent system to overcome the high latency or limited bandwidth problem by moving their computations to the required resources or services. More importantly, the approach is fit for the mobile computing environments. Presented in this paper are also the system architecture, the migration strategy, as well as the security authentication of agent migration. As a demonstration, the remote data retrieval from GenBank was used to illustrate the feasibility of the proposed approach.

Show MeSH