Douglas S. Boa - Redmond WA Simon M. Meacham - Redmond WA Barry M. Nolte - Kirkland WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1730
US Classification:
707 7, 707100, 707101, 707102
Abstract:
A method, apparatus, software and data structure is disclosed for more efficient access times for linear operations in a hash table. A plurality of actual data records and a plurality of marker data records are inserted in a hash table using a hash function. The actual data records and marker data records have a logical ordering specified by a key and are threaded into the hash table to allow linear access by walking the hash table. The logical ordering of the actual data records and marker records is lost upon entry into the hash table, and the keys of the marker data records are distributed at known positions throughout the range of the keys of the actual data records. If when hashing a given key no record exists in the database for the given key, one of the keys for the marker data records are hashed to locate the associated marker data record in the hash table. Distribution of data records according to the hash function is also determined by locating a marker data record in the database and examining the position of adjacent records. The distribution of records provides a measure of performance of the hash table and for tuning of the hash table.
Method And Apparatus For Finding Nearest Logical Record In A Hash Table
Douglas S. Boa - Redmond WA, US Simon M. Meacham - Redmond WA, US Barry M. Nolte - Kirkland WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F017/30
US Classification:
707 7, 707101
Abstract:
A method, apparatus, software and data structure is disclosed for more efficient access times for linear operations in a hash table, including finding the nearest logical record. A plurality of actual data records and a plurality of marker data records are inserted in a hash table using a hash function. The actual data records and marker data records have a logical ordering specified by a key and are threaded into the hash table to allow linear access by walking the hash table. The logical ordering of the actual data records and marker records is lost upon entry into the hash table, and the keys of the marker data records are distributed at known positions throughout the range of the keys of the actual data records. If when hashing a given key no record exists in the database for the given key, one of the keys for the marker data records are hashed to locate the associated marker data record in the hash table. A nearest logical record may thus be retrieved entering the hash table through the marker data record.
Richard M. Shupak - Bellevue WA, US Barbara L. Kess - Redmond WA, US Simon M. Meacham - Seattle WA, US Pat Styles - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 15/16 G06F 15/173 G06F 9/44
US Classification:
709217, 709223, 709230, 717173
Abstract:
This present invention extends the mechanism for locating solution access information and then obtaining and implementing the correct solution for updating software programs. The user can communicate with one system on the network, tell it what the user is interested in, and then the system replies on a file by file basis where to locate the desired information. Thus, the user no longer has to register, e. g. in the environment variables, the individual paths for where a multitude of different applications find their additional related information on the network. According to the teachings of the present invention, a user will have to make basically zero changes to the system, and instead will automatically discover the name location of a server that is going to provide the user with the information associated with any user executable file. In particular, one embodiment of the present invention includes a computer implemented method. The method includes querying a first server for a location of a second server containing information associated with a local file.
Method And Apparatus For Finding Nearest Logical Record In A Hash Table
Douglas S. Boa - Redmond WA Simon M. Meacham - Redmond WA Barry M. Nolte - Kirkland WA
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G06F 1700
US Classification:
707101, 707 7, 707 8
Abstract:
A method, apparatus, software and data structure is disclosed for more efficient access times for linear operations in a hash table, including finding the nearest logical record. A plurality of actual data records and a plurality of marker data records are inserted in a hash table using a hash function. The actual data records and marker data records have a logical ordering specified by a key and are threaded into the hash table to allow linear access by walking the hash table. The logical ordering of the actual data records and marker records is lost upon entry into the hash table, and the keys of the marker data records are distributed at known positions throughout the range of the keys of the actual data records. If when hashing a given key no record exists in the database for the given key, one of the keys for the marker data records are hashed to locate the associated marker data record in the hash table. A nearest logical record may thus be retrieved entering the hash table through the marker data record.
Lyft
Head of Information and Intelligence
Trust Networks Jul 2016 - Dec 2018
Chief Executive Officer
Datatribe Feb 2016 - Sep 2016
Chief Evangelist
White House Office of Science and Technology Policy Jul 2014 - Feb 2016
Senior Executive
United States Department of Defense Sep 2013 - Feb 2016
Senior Executive
Education:
Durham University 1992 - 1996
Bachelors, Bachelor of Science, Computer Science
Denstone College 1982 - 1990
Skills:
Cloud Computing Leadership Strategy Software Development Management Start Ups Enterprise Software Software Project Management Integration Saas Software Engineering Program Management Data Center Architecture Consulting Distributed Systems Microsoft Office Networking Technical Leadership Microsoft Word Product Engineering Agile Methodologies Enterprise Architecture Microsoft Excel Sales Product Management Computer Security Mobile Devices Mobile Applications