Method and apparatus for managing data object size in a multi-user environment
Improved communication with database for multiple clients utilizing large date objects concurrently. When interacting with a server with data objects over threshold size, minimizes system resource usage such as CPU and network utilization. Segments objects into smaller size chunks, allowing for tran...
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creator | Poyourow, David |
description | Improved communication with database for multiple clients utilizing large date objects concurrently. When interacting with a server with data objects over threshold size, minimizes system resource usage such as CPU and network utilization. Segments objects into smaller size chunks, allowing for transmission of smaller chunks which prevents server from allocating large blocks of memory to one object. Although server handles more memory allocations, each allocation is smaller in size and can therefore be processed much faster. Determination of chunk size is dependent on inherent system resources such as the amount of server memory, available network bandwidth. Chunk size is dependent on environmental factors such as time of day, day of week, number of users, number of predicted users for a given time and day based on historical logging, current and predicted network utilization for given time and day. Chunk size and chunk transfer size may be altered dynamically. |
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When interacting with a server with data objects over threshold size, minimizes system resource usage such as CPU and network utilization. Segments objects into smaller size chunks, allowing for transmission of smaller chunks which prevents server from allocating large blocks of memory to one object. Although server handles more memory allocations, each allocation is smaller in size and can therefore be processed much faster. Determination of chunk size is dependent on inherent system resources such as the amount of server memory, available network bandwidth. Chunk size is dependent on environmental factors such as time of day, day of week, number of users, number of predicted users for a given time and day based on historical logging, current and predicted network utilization for given time and day. 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When interacting with a server with data objects over threshold size, minimizes system resource usage such as CPU and network utilization. Segments objects into smaller size chunks, allowing for transmission of smaller chunks which prevents server from allocating large blocks of memory to one object. Although server handles more memory allocations, each allocation is smaller in size and can therefore be processed much faster. Determination of chunk size is dependent on inherent system resources such as the amount of server memory, available network bandwidth. Chunk size is dependent on environmental factors such as time of day, day of week, number of users, number of predicted users for a given time and day based on historical logging, current and predicted network utilization for given time and day. Chunk size and chunk transfer size may be altered dynamically.</abstract><oa>free_for_read</oa></addata></record> |
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title | Method and apparatus for managing data object size in a multi-user environment |
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