Improving Qos in Grids Through Meta-Scheduling in Advance (Paperback)
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Von Händler/Antiquariat, The Book Depository EURO [60485773], London, United Kingdom.
Language: English. Brand new Book. The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information.

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Von Händler/Antiquariat, AHA-BUCH GmbH [51283250], Einbeck, Germany.
This item is printed on demand - Print on Demand Neuware - The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information. 212 pp. Englisch.

Lieferung aus: Deutschland, Lieferzeit: 5 Tage.
The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information.

Lieferung aus: Deutschland, Versandkostenfrei.
Improving QoS in Grids Through Meta-Scheduling in Advance: The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information. Englisch, Taschenbuch.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Syndikat Buchdienst, [4235284].
The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information. 2012, Taschenbuch / Paperback, Neuware, H: 220mm, 212, Internationaler Versand, Selbstabholung und Barzahlung, PayPal, Offene Rechnung, Banküberweisung.

Lieferung aus: Deutschland, Versandkosten nach: Deutschland, Versandkostenfrei.
Von Händler/Antiquariat, Rheinberg-Buch, [3813847].
Neuware - The provision of Quality of Service (QoS) in Grid environments is still an open issue that needs attention from the research community. One way of contributing to the provision of QoS in Grids is by performing meta-scheduling of jobs in advance, that is, jobs are scheduled some time before they are actually executed. Therefore, it becomes more likely that the appropriate resources are available to run the job when needed, so that QoS requirements of jobs are met (i.e., jobs are finished within a deadline). This thesis presents a framework built on top of Globus and the GridWay meta-scheduler to provide QoS by means of performing meta-scheduling in advance decisions. This framework manages idle/busy periods of resources in order to choose the most suitable resource for each job by means of predictions techniques. As no prior knowledge on the duration of jobs is required by the users and to take into account the dynamism of this type of environments, some prediction techniques are presented to estimate the future status of resources (network inclusive) as well as the duration of jobs into them based on that information. Taschenbuch, Neuware, 220xx mm, 212, Internationaler Versand, PayPal, Offene Rechnung, Banküberweisung, Sofortüberweisung.

Von Händler/Antiquariat, Books2Anywhere [190245], Swindon, United Kingdom.
New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. This item is printed on demand.

Von Händler/Antiquariat, English-Book-Service - A Fine Choice [1048135], Waldshut-Tiengen, Germany.
This item is printed on demand for shipment within 3 working days.