METHOD AND APPARATUS FOR CLEARING CLOUD COMPUTE DEMAND
    1.
    发明公开
    METHOD AND APPARATUS FOR CLEARING CLOUD COMPUTE DEMAND 审中-公开
    VERFAHREN UND VORRICHTUNG ZUMLÖSCHENVON CLOUD-COMPUTING-BEFEHLEN

    公开(公告)号:EP2609502A4

    公开(公告)日:2017-03-29

    申请号:EP11820600

    申请日:2011-08-24

    IPC分类号: G06F9/46 G06F9/50

    摘要: Provided are systems and methods for simplifying cloud compute markets. A compute marketplace can be configured to determine, automatically, attributes and/or constraints associated with a job without requiring the consumer to provide them. The compute marketplace provides a clearing house for excess compute resources which can be offered privately or publically. The compute environment can be further configured to optimize job completion across multiple providers with different execution formats, and can also factor operating expense of the compute environment into the optimization. The compute marketplace can also be configured to monitor jobs and/or individual job partitions while their execution is in progress. The compute marketplace can be configured to dynamically redistribute jobs/job partitions across providers when, for example, cycle pricing changes during execution, providers fail to meet defined constraints, excess capacity becomes available, compute capacity becomes unavailable, among other options.

    摘要翻译: 提供了简化云计算市场的系统和方法。 可以将计算市场配置为自动确定与作业相关联的属性和/或约束,而不需要消费者提供它们。 计算市场提供了可以私下或公开提供的多余计算资源的结算所。 可以进一步配置计算环境以优化具有不同执行格式的多个提供商的作业完成,并且还可以将计算环境的操作费用归因于优化。 还可以将计算市场配置为在其执行过程中监视作业和/或单个作业分区。 计算市场可以配置为在供应商之间动态重新分配作业/作业分区,例如,在执行期间,提供商周期定价更改不能满足定义的约束,过多的容量变得可用,计算容量变得不可用等等。

    METHOD AND APPARATUS FOR CLEARING CLOUD COMPUTE DEMAND
    2.
    发明公开
    METHOD AND APPARATUS FOR CLEARING CLOUD COMPUTE DEMAND 审中-公开
    方法和设备拆卸云计算COMMANDS

    公开(公告)号:EP2609502A1

    公开(公告)日:2013-07-03

    申请号:EP11820600.2

    申请日:2011-08-24

    IPC分类号: G06F9/46

    摘要: Provided are systems and methods for simplifying cloud compute markets. A compute marketplace can be configured to determine, automatically, attributes and/or constraints associated with a job without requiring the consumer to provide them. The compute marketplace provides a clearing house for excess compute resources which can be offered privately or publically. The compute environment can be further configured to optimize job completion across multiple providers with different execution formats, and can also factor operating expense of the compute environment into the optimization. The compute marketplace can also be configured to monitor jobs and/or individual job partitions while their execution is in progress. The compute marketplace can be configured to dynamically redistribute jobs/job partitions across providers when, for example, cycle pricing changes during execution, providers fail to meet defined constraints, excess capacity becomes available, compute capacity becomes unavailable, among other options.