Dr. Schaefer graduated from the Johns Hopkins University School of Medicine in 1975. He works in Columbia, MD and specializes in Pulmonary Critical Care Medicine and Sleep Medicine. Dr. Schaefer is affiliated with Howard County General Hospital.
Michael Kramer - Yonkers NY, US Edward W. Schaefer - Lake Ronkonkoma NY, US Brett A. Tanzer - Northport NY, US Christopher De Luca - Kings Park NY, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
H04N 7/16
US Classification:
726 30
Abstract:
Techniques for optimizing distributed anti-virus (AV) scanning are described. In one implementation, a message is received into a multi-node network that includes a plurality of distributed scanning tools. An acceptable scanning policy threshold is determined that is representative of a plurality of individual scanning policy configurations of the plurality of scanning tools. A determination is made whether the message has previously been scanned to the acceptable scanning policy threshold based on a single valued element. If the message has been previously scanned, the message is allowed to be communicated. Otherwise, the message is scanned at the acceptable scanning policy threshold. If the scanning is successful, then the message is marked as having been scanned, and is allowed to be communicated. If the scanning is unsuccessful, the message is prevented from being communicated.
Application Selection Using Current Detection Intelligence
Robert Peter Bisso - Saint James NY, US Edward William Schaefer - Lake Ronkonkoma NY, US
Assignee:
MICROSOFT CORPORATION - Redmond WA
International Classification:
G06F 21/00
US Classification:
726 22
Abstract:
Selecting one or more applications from the plurality of similar or near redundant applications to activate. A method includes retrieving information about current characteristics of one or more applications. The method further includes retrieving information about a current computing operational landscape. Based on the information about current characteristics of one or more applications and the information about a current computing operational landscape, the method further includes creating a ranking of applications. The rankings are made available to a system with a plurality of applications with similar or near redundant functionality. At the system, one or more of the applications in the plurality of applications are selected to activate based on the ranking of applications.
Application Selection Using Current Detection Intelligence
- Redmond WA, US Edward William Schaefer - Lake Ronkonkoma NY, US
International Classification:
G06F 21/57
US Classification:
726 22
Abstract:
Selecting one or more applications from the plurality of similar or near redundant applications to activate. A method includes retrieving information about current characteristics of one or more applications. The method further includes retrieving information about a current computing operational landscape. Based on the information about current characteristics of one or more applications and the information about a current computing operational landscape, the method further includes creating a ranking of applications. The rankings are made available to a system with a plurality of applications with similar or near redundant functionality. At the system, one or more of the applications in the plurality of applications are selected to activate based on the ranking of applications.
St. Francis High School Athol Springs NY 1981-1985
Community:
Terry O'shei, Michael Trifonoff, Ralph Doederlein, Joe Dzialak, William Lambert, Peter Schlee, Daniel Hoffman, Mark Depaolo, James Taube, Tom O'malley, Jeff Russo