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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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The flowchart of an agent asynchronous migration.
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pone-0020949-g002: The flowchart of an agent asynchronous migration.

Mentions: In this section, as a demonstration of agent migration strategy, a flowchart of agent asynchronous migration is shown in Figure 2. When a migration request is under processing, the agent migration service of the multi-agent system checks migration conditions in the source node, deciding to allow the agent to migrate or not. In addition, the agent migration service judges whether the destination node agrees the migration, the destination node is reachable, and the migration is successful, then take different actions. Once the migration is successful, the replication of the agent in the destination node will execute its task and the original agent will be deleted in the source node.


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

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

The flowchart of an agent asynchronous migration.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0020949-g002: The flowchart of an agent asynchronous migration.
Mentions: In this section, as a demonstration of agent migration strategy, a flowchart of agent asynchronous migration is shown in Figure 2. When a migration request is under processing, the agent migration service of the multi-agent system checks migration conditions in the source node, deciding to allow the agent to migrate or not. In addition, the agent migration service judges whether the destination node agrees the migration, the destination node is reachable, and the migration is successful, then take different actions. Once the migration is successful, the replication of the agent in the destination node will execute its task and the original agent will be deleted in the source node.

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