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617 results about "Hybrid data" patented technology

Hybrid Data. Data of varying size is hosted in an elastic cloud while the remainder of an application resides in a static environment.

Hybrid data structures for graphics programs

The use of data structures for displaying images is described: A first minimal data structure. In this structure only that information needed to show the data in the form of a 3D image, either wire mesh or rendered, to the user, is loaded into memory, e.g. the RAM memory. No additional information about the data structure is generated. For example, no connectivity data is loaded into memory. Typically this memory state is used for “read-only” purposes. In other words, the data objects are not to be modified. A second Rich (Flexible) data structure. In this structure, information, which a typical application holds to perform operations on the data, will be kept in memory, e.g. a RAM memory. Optional examples of extra information needed are, connectivity data such as neighbor information, some data flags for polygons, e.g. triangles and vertices, references to next and previous vertices and polygons, e.g. triangles, etc. In order to perform complex operations on big datasets in a somewhat efficient way, such extra information is preferred. A third data structure mainly in the non-volatile memory. In this structure the bulk of the data will be put into the non-volatile storage again, but in such a way that it can very easily be converted into one of the other memory structures again that are mentioned above. The structure in RAM will be similar as in 1 or 2, but will contain a reduced version of the data: for instance the 3D model will be described with less polygons, ultimately with only 6 polygons (the bounding box).
Owner:MATERIALISE NV

Tiered contention multiple access (TCMA): a method for priority-based shared channel access

Quality of Service (QoS) support is provided by means of a Tiered Contention Multiple Access (TCMA) distributed medium access protocol that schedules transmission of different types of traffic based on their service quality specifications. In one embodiment, a wireless station is supplied with data from a source having a lower QoS priority QoS(A), such as file transfer data. Another wireless station is supplied with data from a source having a higher QoS priority QoS(B), such as voice and video data. Each wireless station can determine the urgency class of its pending packets according to a scheduling algorithm. For example file transfer data is assigned lower urgency class and voice and video data is assigned higher urgency class. There are several urgency classes which indicate the desired ordering. Pending packets in a given urgency class are transmitted before transmitting packets of a lower urgency class by relying on class-differentiated urgency arbitration times (UATs), which are the idle time intervals required before the random backoff counter is decreased. In another embodiment packets are reclassified in real time with a scheduling algorithm that adjusts the class assigned to packets based on observed performance parameters and according to negotiated QoS-based requirements. Further, for packets assigned the same arbitration time, additional differentiation into more urgency classes is achieved in terms of the contention resolution mechanism employed, thus yielding hybrid packet prioritization methods. An Enhanced DCF Parameter Set is contained in a control packet sent by the AP to the associated stations, which contains class differentiated parameter values necessary to support the TCMA. These parameters can be changed based on different algorithms to support call admission and flow control functions and to meet the requirements of service level agreements.
Owner:AT&T INTPROP II L P
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