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    • 3. 发明申请
    • Process-Aware Code Migration
    • 流程感知代码迁移
    • US20140379716A1
    • 2014-12-25
    • US13926229
    • 2013-06-25
    • International Business Machines Corporation
    • Joel W. BranchJohnathan M. ReasonAubrey J. Rembert
    • G06F17/30
    • G06F17/30598G06F8/76
    • A mechanism is provided for process-aware code migration. A plurality of nodes and a plurality of edges are annotated within a call graph with information from execution data for executing the code and a topology of the data processing system to form an annotated call graph. Each node in the plurality of nodes is clustered into an associated cluster based on a subset of attributes used from the execution data or the topology to generate the annotated call graph to form a clustered call graph comprising a plurality of clusters. The execution data associated with each cluster in the plurality of clusters is process mined to form an existing process model. Processes identified within the existing process model are mapped to a proposed business-process model thereby forming a set of correlations between the existing process model and the proposed business-process model.
    • 为进程感知代码迁移提供了一种机制。 在具有来自用于执行代码的执行数据和数据处理系统的拓扑的信息的调用图中注释多个节点和多个边缘以形成带注释的调用图。 基于从执行数据或拓扑中使用的属性子集,将多个节点中的每个节点聚类成相关联的集群,以生成带注释的呼叫图,以形成包括多个集群的聚集呼叫图。 与多个群集中的每个群集相关联的执行数据被处理挖掘以形成现有的过程模型。 在现有流程模型中识别的流程被映射到所提出的业务流程模型,从而形成现有流程模型与所提出的业务流程模型之间的一组相关性。
    • 8. 发明申请
    • PREDICTING SERVICE DELIVERY METRICS USING SYSTEM PERFORMANCE DATA
    • 使用系统性能数据预测服务提供量度
    • US20150067140A1
    • 2015-03-05
    • US14015007
    • 2013-08-30
    • International Business Machines Corporation
    • Joel W. BranchYixin DiaoEmi K. OlssonAmitkumar M. ParadkarRajeev PuriLarisa Shwartz
    • H04L12/24
    • H04L41/147H04L41/5038H04L41/5074
    • A method for predicting a computerized service delivery organization workload including collecting data of a computer implementing service delivery routine including overlapping samples of load values, overlapping samples of performance values, overlapping samples of event outputs, ticket values and ticket volumes, building a first correlation of said load values with said performance values for predicting new performance values based on new data, building a second correlation of said performance values with said event outputs, said ticket values and said ticket volumes, combining said first and second correlations into a third correlation for correlating said load values with a ticket volume and an event volume, and determining at least one projected event volume or projected ticket volume value using said third correlation and at least one projected load value of said computer.
    • 一种用于预测计算机化服务传送组织工作负载的方法,包括收集实施服务传递例程的计算机的数据,所述计算机包括负载值的重叠样本,性能值的重叠样本,事件输出的重叠样本,票值和票量,建立第一关联 所述负载值具有所述性能值,用于基于新数据预测新的性能值,构建所述性能值与所述事件输出,所述票值和所述票体积的第二相关性,将所述第一和第二相关组合成第三相关, 所述负载值具有票数量和事件量,以及使用所述第三相关性和所述计算机的至少一个预计负载值来确定至少一个投影事件量或预计票数量值。