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    • 7. 发明授权
    • Adaptive algorithm for cloud admission policies
    • 云接纳政策的自适应算法
    • US09391919B2
    • 2016-07-12
    • US13966792
    • 2013-08-14
    • International Business Machines Corporation
    • Yurdaer N. DoganataMalgorzata SteinderAsser N. TantawiMerve Unuvar
    • G06F15/16H04L12/911G06F9/50G06F9/455
    • H04L47/78G06F9/5083G06F2009/4557G06F2209/5019
    • Disclosed is a novel system and method for managing requests for an additional virtual machine. The method begins with operating at least one virtual machine accessing at least one computer resource associated with at least one physical machine within a computing cluster. One or more non-deterministic virtual machine requests for the computer resource are received. An over-utilization of the computer resource as a probability distribution function is modeled. In one example, the probability distribution function is a Beta distribution function to represent a one of a plurality of probability distribution functions. Next, an additional virtual machine on the physical machine associated with the computer resource is added in response to a probability of a utilization of the computer resource being greater than a probabilistic bound on the over-utilization of the computer resource. Otherwise, the additional virtual machine is not added.
    • 公开了一种用于管理对附加虚拟机的请求的新型系统和方法。 该方法开始于操作至少一个虚拟机访问与计算集群内的至少一个物理机相关联的至少一个计算机资源。 接收对计算机资源的一个或多个非确定性虚拟机请求。 对计算机资源作为概率分布函数的过度利用被建模。 在一个示例中,概率分布函数是表示多个概率分布函数之一的Beta分布函数。 接下来,响应于计算机资源的利用率大于对计算机资源的过度利用的概率限制的概率,添加与计算机资源相关联的物理机上的附加虚拟机。 否则,不添加额外的虚拟机。
    • 8. 发明申请
    • APPLICATION PLACEMENT THROUGH MULTIPLE ALLOCATION DOMAIN AGENTS AND FLEXIBLE CLOUD SCHEDULER FRAMEWORK
    • 通过多个分配域代理和灵活的云安排框架的应用程序
    • US20160142253A1
    • 2016-05-19
    • US14802825
    • 2015-07-17
    • International Business Machines Corporation
    • Malgorzata SteinderAsser N. Tantawi
    • H04L12/24H04L29/08H04L12/911
    • H04L41/0813G06N7/005G06Q10/10H04L41/0823H04L47/783H04L47/823H04L67/1023
    • There are provided a method for operating a cloud computing infrastructure. In one embodiment, the method performs allocation domain modeling and provides a cloud scheduler framework that takes as input desired optimization objectives and the workload constraints and efficiently produces a placement solution that satisfies the constraints while optimizing the objectives in a way that adjusts itself depending on the objectives. As the objectives change, e.g., due to actions from system administrators or due to changes in business policies, the system optimizes itself accordingly and still produces efficient and optimized placement solutions. The method constructs an Allocation Domain (AD) that is a particular facet for allocating a logical entity to a physical entity. An AD is created using: variables, functional definitions (functions of variables), and a policy specification that includes a Boolean expression (of the functional definitions).
    • 提供了一种操作云计算基础架构的方法。 在一个实施例中,该方法执行分配域建模并且提供云调度器框架,该框架将输入期望的优化目标和工作负载约束作为输入,并有效地产生满足约束的放置解决方案,同时以根据 目标。 由于目标发生变化,例如由于系统管理员的操作或由于业务策略的变化,系统会相应地优化自身,并且仍然可以生成有效和优化的放置解决方案。 该方法构建分配域(AD),该分配域(AD)是将逻辑实体分配给物理实体的特定方面。 AD使用:变量,功能定义(变量的函数)和包含布尔表达式(功能定义)的策略规范创建。