Nec Corporation

Conviva Inc.

Nec Laboratories America, Inc.

Cadence Design Systems, Inc.

Schlumberger Technology Corporation

Alcatel-lucent USA Inc.

Lucent Technologies Inc.

Sound View Innovations, LLC

Nec C Orporation

M-1 L.l.c.

Ykk Corporation

Hui Joyce Zhang

Guofei Jiang

Ion Stoica

Aditya Ravikumar Ganjam

Jibin Zhan

Jianwu Xu

Nipun Arora

Junghwan Rhee

Kenji Yoshihira

Biplob Kumar Debnath

Karthik K Lakshminarayanan

Steven R Mccanne

Haifeng Chen

Ryan J Huebsch

Bo Zong

Katherine Hua Guo

Sanjoy Paul

Cristian Lumezanu

Hongzhou Liu

Steven Philip Young

Markus Andreas Hofmann

Changping Sui

Tze Sing Eugene Ng

Faisal Zakaria Siddiqi

Alexey Serbin

Tanay Kumar Saha

Xi Liu

Robert L Horton

Balakrishnan Panamarathupalayam

Bethicia B Prasek

William E Foxenberg

Qiang Xu

Eugene Dakin

Xia Wei

Pawilai Chinwangso

Tirunell V Lakshman

Muralidharan Sampath Kodialam

Steven McCanne

Fang Hao

Renqiang Min

Charles Svoboda

Yan Li

Saurabh Kumar Tiwary

Henry Milner

George C Necula

Abhishek Sharma

Jungwhan Rhee

Davis Shepherd

Ya-Yunn Su

Xiaoqiao Meng

Florin Dobrian

Alexander Schneidman

Alexander Kolbasov

Soumyadeb Mitra

Pranay Anchuri

Ke Zhang

Pallavi Joshi

Zhenyu Wu

Zhichun Li

LuAn Tang

Balkrishna Gadiyar

Kai Ma

Franjo Ivancic

Ningning Hu

Erik Kruus

Xiao Yu

Alhad Phatak

Kai Zhang

Morris Arvie, Jr

Xia Ning

Frank E Evans

Chung Hwan Kim

Rauf Izmailov

Samrat Ganguly

Bin Nie

Paulo Pauferro, Jr

Hancheng Ge

Aniruddha Bohra

Jeremy Smith

Cheng Jin

Qi Song

Yangchun Fu

Zhuotao Liu

Behnaz Arzani

Hossein Hamooni

Qiang Zeng

Hui Lu

Hongteng Xu

Steven R McCane

Myoungku Song

Mary L K Dimataris

Andrey Reznichenko

Jian Liang

Glen Clark

Lorenz Neureuter

Weiqing Huang

A method of recycling a direct emulsion wellbore fluid may include disrupting a direct emulsion comprising an aqueous external phase and an oleaginous internal phase, wherein the direct emulsion is stabilized by a surfactant composition; and separating the aqueous phase and the oleaginous phase.

Methods of recycling oil from a direct phase emulsion

A wellbore fluid comprising a first aqueous base fluid and a plurality of silica nanoparticles suspended in the first aqueous base fluid. The nanoparticles are present in the fluid in an amount to have an effect of decreasing a crystallization temperature by at least 4 to 55&#xb0; F. as compared to a second aqueous base fluid without the silica nanoparticles.

High density brine with low crystallization temperature

A wellbore fluid may include a non-oleaginous internal phase, an oleaginous external phase, and an emulsifier having a molecular weight of at least 700 daltons, whereby the emulsifier may include at least one tertiary amine. A method of completing a wellbore operation may include injecting a wellbore fluid downhole, the wellbore fluid including a non-oleaginous internal phase, an oleaginous external phase, and an emulsifier having a molecular weight of at least 700 daltons. The emulsifier may include at least one tertiary amine. The method may further include injecting a wash fluid comprising a protonating agent downhole.

Reversible oil-based mud

Advanced resource selection is disclosed. A request from a client to resolve an augmented domain is received at a Domain Name System (DNS) server. Information is extracted from the augmented domain name. The extracted information is used to select a particular resource from a set of resources to provide content to the client.

Advanced resource selection

Systems and methods for contextual event sequence analysis of system failure that analyzes heterogeneous system event record logs are disclosed. The disclosure relates to analyzing event sequences for system failure in ICT and other computerized systems and determining their causes and propagation chains.

System and method for contextual event sequence analysis

Methods and systems for system maintenance include identifying patterns in heterogeneous logs. Predictive features are extracted from a set of input logs based on the identified patterns. It is determined that the predictive features indicate a future system failure using a first model. A second model is trained, based on a target sample from the predictive features and based on weights associated with a distance between the target sample and a set of samples from the predictive features, to identify one or more parameters of the second model associated with the future system failure. A system maintenance action is performed in accordance with the identified one or more parameters.

Log-based system maintenance and management

Systems and methods for enabling automated log analysis with controllable resource requirements are provided. A training set for log pattern learning is generated based on heterogeneous logs generated by a computer system. An incremental learning process is implemented to generate a set of log patterns from the training set. The heterogeneous logs are parsed using the set of log patterns. A set of applications is applied to the parsed logs.

Method and system for enabling automated log analysis with controllable resource requirements

Systems and methods for automatically generating a set of meta-parameters used to train invariant-based anomaly detectors are provided. Data is transformed into a first set of time series data and a second set of time series data. A fitness threshold search is performed on the first set of time series data to automatically generate a fitness threshold, and a time resolution search is performed on the set of second time series data to automatically generate a time resolution. A set of meta-parameters including the fitness threshold and the time resolution are sent to one or more user devices across a network to govern the training of an invariant-based anomaly detector.

Automated meta parameter search for invariant based anomaly detectors in log analytics

Delivering an advertisement is disclosed. Local user information is collected. Examples of local user information include language settings, web browser history, and actions taken by a user with respect to various applications. An advertisement is selected from a plurality of advertisements based at least in part on the local user information. The selected advertisement is caused to be displayed.

Advertising engine

Systems and methods are disclosed for parsing logs from arbitrary or unknown systems or applications by capturing heterogeneous logs from the arbitrary or unknown systems or applications; generating one pattern for every unique log message; building a pattern hierarchy tree by grouping patterns based on similarity metrics, and for every group it generates one pattern by combing all constituting patterns of that group; and selecting a set of patterns from the pattern hierarchy tree.

Fast pattern discovery for log analytics

A computer-implemented method for automatically analyzing log contents received via a network and detecting content-level anomalies is presented. The computer-implemented method includes building a statistical model based on contents of a set of training logs and detecting, based on the set of training logs, content-level anomalies for a set of testing logs. The method further includes maintaining an index and metadata, generating attributes for fields, editing model capability to incorporate user domain knowledge, detecting anomalies using field attributes, and improving anomaly quality by using user feedback.

Content-level anomaly detection for heterogeneous logs

A heterogeneous log pattern editing recommendation system and computer-implemented method are provided. The system has a processor configured to identify, from heterogeneous logs, patterns including variable fields and constant fields. The processor is also configured to extract a category feature, a cardinality feature, and a before-after n-gram feature by tokenizing the variable fields in the identified patterns. The processor is additionally configured to generate target similarity scores between target fields to be potentially edited and other fields from among the variable fields in the heterogeneous logs using pattern editing operations based on the extracted category feature, the extracted cardinality feature, and the extracted before-after n-gram feature. The processor is further configured to recommend, to a user, log pattern edits for at least one of the target fields based on the target similarity scores between the target fields in the heterogeneous logs.

Recommender system for heterogeneous log pattern editing operation

A method and system are provided for processing computer log messages for log visualization and log retrieval. The method includes collecting log messages from one or more computer system components, performing a log tokenization process on the log messages to generate tokens, transforming the tokens into log vectors associated with a metric space, performing dimensionality reduction on the metric space to project the metric space into a lower dimensional sub-space, storing similarity distances between respective pairs of the log vectors, and in response to receiving a query associated with a query log message for reducing operational inefficiencies of the one or more computer system components, employing the similarity distances to retrieve one or more similar log messages corresponding to the query log message for reducing the operational inefficiencies of the one or more computer system components.

Processing of computer log messages for visualization and retrieval

Generating streaming decisions at one or more remote servers on behalf of a local client is disclosed. An indication of a content request, multi-dimensional client information, and local state information are received from a client device. A record specific to the client device is generated, in a data store, using the received local state information. The data store includes a plurality of records corresponding to respective different client devices. A set of instructions usable by the client device to obtain and play content is determined based at least in part the local state information received from the client device. The determined set of instructions is transmitted to the client device.

Streaming decision in the cloud

Growing community of inventors

Sugar Land, TX, United States of America

Hui Joyce Zhang