公开(公告)号：US20180004819A1

公开(公告)日：2018-01-04

申请号：US15198550

申请日：2016-06-30

Applicant: Hewlett Packard Enterprise Development LP

Inventor： Haim Shuvali ,  Noam Mor ,  Guy Offer ,  Avi Kabizon ,  Meir Ron

IPC: G06F17/30

CPC classification number: G06F16/248 ,  G06F11/323 ,  G06F11/3419 ,  G06F11/3452 ,  G06F11/3495 ,  G06F16/273 ,  G06F16/9535 ,  G06F2201/865 ,  G06F2201/875

Abstract: A plurality of completion times associated with an application request may be obtained. The plurality of completion times may include a first completion time and a second completion time. A plurality of response times associated with a first asynchronous operation triggered by the application request may be obtained. The plurality of completion times may include a first response time associated with the first completion time and a second response time associated with the second completion time. A first correlation score may be determined describing an effect of the first asynchronous operation on the application request based on the first completion time, the second completion time, the first response time, and the second response time. Visualization data may be generated representing the first correlation score.

公开(公告)号：US09846632B2

公开(公告)日：2017-12-19

申请号：US14800677

申请日：2015-07-15

Applicant: SignalFx, Inc.

Inventor： Phillip Liu ,  Arijit Mukherji ,  Rajesh Raman ,  Kris Grandy ,  Jack Lindamood

IPC: G06F9/44 ,  G06F11/36 ,  G06F11/30 ,  G06F11/34

CPC classification number: G06F11/3644 ,  G06F11/3082 ,  G06F11/3466 ,  G06F2201/865 ,  G06F2201/88

Abstract: A data analysis system processes data generated by instrumented software. The data analysis system receives data streams generated by instances of instrumented software executing on systems. The data analysis system also receives metadata describing data streams. The data analysis system receives an expression based on the metadata. The data analysis system receives data of data streams for each time interval and computes the result of the expression based on the received data values. The data analysis system repeats these steps for each time interval. The data analysis system may quantize data values of data streams for each time interval by generating an aggregate value for the time interval based on data received for each data stream for that time interval. The data analysis system evaluates the expression using the quantized data for the time interval.

公开(公告)号：US09846630B2

公开(公告)日：2017-12-19

申请号：US15333672

申请日：2016-10-25

Applicant: Oracle International Corporation

Inventor： Arun N. Kumar

IPC: G06F17/30 ,  G06F11/34 ,  G06F11/30 ,  H04L29/06

CPC classification number: G06F11/3409 ,  G06F11/3006 ,  G06F11/3495 ,  G06F17/30283 ,  G06F17/30545 ,  G06F2201/80 ,  G06F2201/805 ,  G06F2201/86 ,  G06F2201/865 ,  H04L63/102

Abstract: Tools and techniques for collecting data from target systems without the need for installation of expensive and high-maintenance software agents on the target systems. In some cases, these tools can be used to collect performance data from collection targets while still allowing the operator(s) of the collection targets to govern the access of the tools, alleviating security concerns. Merely by way of example, certain tools employ data collection scripts, which may be analyzed by the collection target against security policies of that collection target, to ensure that the scripts will not take any actions that might violate such security policies. Other tools may be used to collect data in real time by transmitting a script for immediate execution by the host system, which could then return the data produced by the script immediately upon completion (and/or as part of execution of the script).

公开(公告)号：US20170357564A1

公开(公告)日：2017-12-14

申请号：US15620383

申请日：2017-06-12

Applicant: Sony Mobile Communications Inc.

Inventor： Vanja PLICANIC SAMUELSSON ,  Kåre AGARDH ,  Gunnar KLINGHULT

IPC: G06F11/34 ,  G06F11/30 ,  G06F11/36

CPC classification number: G06F11/3495 ,  G06F11/3013 ,  G06F11/302 ,  G06F11/3055 ,  G06F11/3058 ,  G06F11/3062 ,  G06F11/36 ,  G06F11/362 ,  G06F2201/865

Abstract: The one or more processors of an electronic device execute program code. While executing the program code, measurements are performed on the electronic device to obtain first data. Further, execution of the program code is monitored to obtain second data, e.g., debug information. The measurements are coordinated with the monitoring of the execution of the program code.

公开(公告)号：US20170322989A1

公开(公告)日：2017-11-09

申请号：US15221946

申请日：2016-07-28

Applicant: SAP SE

Inventor： Le-Huan Stefan Tran ,  Arne Harren ,  Jonathan Bregler ,  Alexander Bunte ,  Andreas Kellner ,  Daniel Kuntze ,  Vladislav Leonkev ,  Simon Lueders ,  Volker Sauermann ,  Michael Schnaubelt

IPC: G06F17/30

CPC classification number: G06F11/3495 ,  G06F11/302 ,  G06F11/3466 ,  G06F11/3476 ,  G06F11/3636 ,  G06F16/211 ,  G06F16/217 ,  G06F16/258 ,  G06F16/289 ,  G06F2201/865

Abstract: Parameter-based deployment control for database objects is provided, in which processes for deploying database artifacts into a database as database objects are implemented. Many different techniques may be used in executing such deployment processes, including whether and how to combine various deployment-related jobs, identify/record/assess/correct potential errors, govern or instruct artifact conversion operations, or generally manage available resources with respect to executing the deployment(s) efficiently. By providing for selectable parameter values that are executed in an efficient, e.g., hierarchical, manner, deployment procedures may be implemented in a highly efficient and customizable manner.

公开(公告)号：US20170315900A1

公开(公告)日：2017-11-02

申请号：US15523527

申请日：2014-11-24

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Elad BENEDICT ,  Ohad ASSULIN ,  Efrat EGOZI LEVI

IPC: G06F11/36 ,  G06F11/263 ,  G06F11/30 ,  G06F11/34

CPC classification number: G06F11/3612 ,  G06F11/263 ,  G06F11/3003 ,  G06F11/302 ,  G06F11/3414 ,  G06F11/3433 ,  G06F11/3452 ,  G06F2201/865 ,  G06F2201/87 ,  G06F2201/875

Abstract: Application management based on data correlations is disclosed. One example is a system including a data processor, a data element generator, a matrix generator, a data analysis module, a performance module, and a load test manager. The data processor accesses test data based on an application under load testing. The data element generator generates a plurality of transactional data elements based on the test data, each data element comprising at least three data components. The matrix generator generates a covariance matrix based on the data components. The data analysis module determines an eigenvector associated with the covariance matrix, and identifies a correlation between a sub-plurality of the at least three data components based on coefficients of the eigenvector. The performance module determines, based on the correlation, performance metrics for the application under load testing. The load test manager manages, based on the performance metrics, the application under load testing.

公开(公告)号：US20170308375A1

公开(公告)日：2017-10-26

申请号：US15133278

申请日：2016-04-20

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Randall Lehner ,  Robert Samer ,  Olexiy Karpus

IPC: G06F9/44 ,  G06F11/30 ,  G06F11/32 ,  G06F11/34

CPC classification number: G06F8/70 ,  G06F8/33 ,  G06F9/453 ,  G06F11/302 ,  G06F11/323 ,  G06F11/3409 ,  G06F11/3466 ,  G06F2201/865

Abstract: Production telemetry insights are provided inline to developer experience. Some examples are directed to curating lame amount of aggregated tracing and diagnostic data from an already deployed service, mapping cost profile information (e.g., CPU, memory, exceptions, etc.) to code components, and providing context specific recommendations and/or warnings to a developer working within the source code for the service in conjunction with different components. Detection and mitigation of potential problems may be enabled prior to the code being committed to a source code repository.

公开(公告)号：US09785468B2

公开(公告)日：2017-10-10

申请号：US13563640

申请日：2012-07-31

Applicant: Nicholas Matthew Mitchell ,  Peter F. Sweeney

Inventor： Nicholas Matthew Mitchell ,  Peter F. Sweeney

IPC: G06F9/50 ,  G06F11/34

CPC classification number: G06F9/50 ,  G06F9/4806 ,  G06F11/3433 ,  G06F11/3442 ,  G06F11/3447 ,  G06F11/3452 ,  G06F11/3466 ,  G06F2201/865 ,  G06F2201/875 ,  G06F2209/508 ,  Y02D10/22 ,  Y02D10/34

Abstract: A computer program product for automatically gauging a benefit of a tuning action. The computer program product including a computer readable storage medium having computer readable program code embodied therewith. The computer readable program code including computer readable program code configured to collect a plurality of observations of a running state of a plurality of threads in a computer system. Computer readable program code configured to identify a plurality of resources of the computer system and a capacity of each resource of the plurality of resources. Computer readable program code configured to map an observation of the running state of each thread of the plurality of threads to a resource that the observation of each thread uses, respectively, and computer readable program code configured to apply the tuning action to a first resource of the plurality of resources to determine an impact on the performance of the computer system.

公开(公告)号：US09774513B2

公开(公告)日：2017-09-26

申请号：US15298560

申请日：2016-10-20

Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

Inventor： Michael Repperger

IPC: G06F15/16 ,  H04L12/26 ,  G06F11/07 ,  H04L12/24

CPC classification number: H04L43/0823 ,  G06F11/0709 ,  G06F11/079 ,  G06F2201/865 ,  H04L41/0631

Abstract: A monitoring system is arranged for automatically and dynamically discovering local applications running on servers in an enterprise-scale service environment as well as discovering external resources (both partitioned and non-partitioned resources) that the local applications use. The discovered objects and their dependencies are instantiated into a health map and the map is dynamically updated as applications and resources are added to and deleted from the enterprise-scale service environment. Health indicators such as events, performance counters, synthetic transactions, and SysLog and SNMP (Simple Network Management Protocol) service events for the mapped objects are monitored. The monitored health indicators are attributed to either the health of a local application or that of an external resource. Upon detection of a fault, the health map enables performance of root cause analyses and determination of the impact of the fault on the objects in the environment so that appropriate alerts can be raised.

公开(公告)号：US09760474B2

公开(公告)日：2017-09-12

申请号：US14666594

申请日：2015-03-24

Applicant: CenturyLink Intellectual Property LLC

Inventor： Vishak Shanmugam Pillai ,  Darshan Sonbarse ,  Viswanath Seetharam ,  Manoj U P

IPC: G06F9/45 ,  G06F9/44 ,  G06F11/36 ,  G06F11/34 ,  G06F1/32 ,  G06F11/07 ,  G06F11/30 ,  G06F11/32

CPC classification number: G06F11/3668 ,  G06F1/3206 ,  G06F1/3225 ,  G06F8/71 ,  G06F11/079 ,  G06F11/3003 ,  G06F11/302 ,  G06F11/3062 ,  G06F11/323 ,  G06F11/3409 ,  G06F11/3428 ,  G06F11/3466 ,  G06F11/3688 ,  G06F11/3692 ,  G06F2201/865 ,  Y02D10/34

Abstract: Novel tools and techniques are provided for implementing green software applications and/or certifying software applications with a green applications efficiency (“GAE”) rating. Implementing green software applications might include performing performance tests of a software application, measuring power consumption of one or more hardware components, in response to execution of the software application during the one or more performance tests, generating a power consumption profile for the software application based on the measure power consumption, and tuning the software application such that power consumption of the one or more hardware components matches a power load caused by execution of the software application, based at least in part on the power consumption profile for the software application. Certifying software applications might include calculating an efficiency rating based on measured or calculated hardware power consumption, calculating the GAE rating for the software application, and certifying the software application with the GAE rating.