Debashis Saha - Sunnyvale CA, US Tim Kimmet - San Jose CA, US Sangjin Lee - San Jose CA, US Armond Bigian - San Jose CA, US Rami El-Charif - San Jose CA, US Connie Y. Yang - Saratoga CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 15/173
US Classification:
709224, 709226
Abstract:
A system to detect a network deficiency, in one example embodiment, comprises a receiving module to receive utilization metrics of at least one network resource, wherein the utilization metrics are collected and made available at a network level, an aggregator to aggregate the utilization metrics of at least one network resource with the utilization metrics of a plurality of the network resources, a processing module to determine a level of aggregated utilization metrics of the network resources, and a detecting module to detect a precursor indicative of a network traffic deterioration based on the level of the aggregated utilization metrics.
Method And System For Intelligent Request Refusal In Response To A Network Deficiency Detection
Debashis Saha - Sunnyvale CA, US Tim Kimmet - San Jose CA, US Sangjin Lee - San Jose CA, US Armond Bigian - San Jose CA, US Rami El-Charif - San Jose CA, US
Assignee:
eBay Inc - San Jose CA
International Classification:
G06F 15/173
US Classification:
709224, 709225, 709226, 709232, 455453
Abstract:
A system for intelligent request refusal in response to a network deficiency detection, in one example embodiment, comprises an aggregator to aggregate revenue generated by a requesting entity with a revenue generated by requesting entities homogenous to the requesting entity, and a filtering module to filter a response to a service request when an aggregated revenue-to-network-resource-utilization ratio is below a second threshold unless utilization of a plurality of network resources drops below a first threshold.
Method And System For Intelligent Feature Degradation In Response To A Network Deficiency Detection
Debashis Saha - Sunnyvale CA, US Tim Kimmet - San Jose CA, US Sangjin Lee - San Jose CA, US Armond Bigian - San Jose CA, US Rami El-Charif - San Jose CA, US Arnold J. Goldberg - Saratoga CA, US
Assignee:
EBAY Inc. - San Jose CA
International Classification:
G06F 15/173 G06F 3/048
US Classification:
715771, 709224
Abstract:
A system for intelligent feature degradation in response to a network deficiency detection, in one example embodiment, comprises a monitoring module to monitor a utilization of a plurality of network resources, a processing module to determine whether the utilization of the plurality of the network resources is above a threshold, to determine a category of an application level using entity, and to determine a revenue generated by the application level using entity, and a degrading module to degrade at least one application level functionality available to the using entity based on the category and the revenue generated by the application level using entity unless the utilization of the plurality of the network resources drops below the first threshold.
Sangjin Lee - San Jose CA, US Debashis Saha - San Jose CA, US
Assignee:
eBay Inc. - San Jose CA
International Classification:
G06F 9/50
US Classification:
718104
Abstract:
Various embodiments described herein include at least one of systems, methods, and software for identity-based thread pool assignment. The identity may identify a source of a request where the source is a user, human or logical, or a network location where the request originated. Some embodiments include receiving a resource request via a network and classifying the resource request into a processing thread pool of a plurality of processing thread pools. The classifying may be based at least in part on an identifying characteristic of a source of the resource request. Each processing thread pool may have an assigned maximum number of processing threads available at any one time for processing resource requests. When a processing thread of the processing thread pool the request is classified into is available, some embodiments then assign the resource request to the available processing thread.
Apple
Irf Design Engineer
Broadcom Nov 2007 - Jul 2012
Principal Rf Engineer
Texas Instruments Nov 2004 - Nov 2007
Senior Rf Engineer
Franklin Wireless May 2002 - Jan 2004
Staff Rf Development Engineer and Manager
Eanywhere Wireless Dec 2000 - May 2002
Senior Rf Development Engineer and Manager
Education:
Hongik University 1992 - 1994
Masters, Electronics
Hongik University 1988 - 1992
Bachelors, Electronics Engineering
Paypal
Distinguished Mts, Software Engineer
Twitter Feb 2012 - Mar 2017
Staff Software Engineer
Ebay Oct 2004 - Feb 2012
Distinguished Software Engineer
Blue Martini Software Sep 2003 - Oct 2004
Senior Software Engineer
Oracle Jul 2001 - Aug 2003
Lead Software Engineer
Education:
University of Chicago 1992 - 1996
University of Chicago Oct 1991 - Jul 1992
Seoul National University 1987 - 1991
Skills:
Scalability Distributed Systems Java Software Development Rest Java Enterprise Edition Hadoop Web Services Agile Methodologies Cloud Computing Software Engineering Open Source Design Patterns Enterprise Architecture Enterprise Software Scrum Java Internals Perl System Architecture Shell Scripting Concurrrency Git Tomcat Java Ee Asynchrony Performance Tuning Ant Python Software Design Soa Junit Soap Object Oriented Design Big Data Network Programming Performance Spring Representational State Transfer Osgi Http Cryptography Dependency Injection Web Technologies Functional Programming Maven Spring Framework Go
Interests:
Cooking Electronics Home Improvement Reading Gourmet Cooking Sports Collecting Home Decoration