Access control framework for information centric networking
US-2016224799-A1 · Aug 4, 2016 · US
US2016285671A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2016285671-A1 |
| Application number | US-201514667545-A |
| Country | US |
| Kind code | A1 |
| Filing date | Mar 24, 2015 |
| Priority date | Mar 24, 2015 |
| Publication date | Sep 29, 2016 |
| Grant date | — |
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A method is implemented by a node for implementing computational transformations conveyed in a content centric networking (CCN) request by a computation engine. The method includes receiving a CCN request containing a unique resource identifier (URI) and a computation field, decoding the computation field to determine a computation pipeline, retrieving a first content object identified by the URI, executing the computation pipeline with the first content object as input, and encoding a result of the computation pipeline as a second content object.
Opening claim text (preview).
1 . A method implemented by a node for implementing computational transformations conveyed in a content centric networking (CCN) request by a computation engine, the method comprising the steps of: receiving a CCN request containing a unique resource identifier (URI) and a computation field; decoding the computation field to determine a computation pipeline; retrieving a first content object identified by the URI; executing the computation pipeline with the first content object as input; and encoding a result of the computation pipeline as a second content object. 2 . The method of claim 1 , wherein the CCN request is received from a CCN client, the method further comprising: generating a CCN response including the second content object; and returning the CCN response to the CCN client. 3 . The method of claim 1 , wherein decoding the computation field to determine the computational pipeline further comprises: establishing a serial pipeline of functions. 4 . The method of claim 1 , wherein decoding the computation field to determine the computational pipeline further comprises: establishing a parallel pipeline of functions. 5 . The method of claim 1 , wherein decoding the computation field to determine the computational pipeline further comprises: establishing a complex pipeline of functions including a hierarchy of parallel and serial functions. 6 . The method of claim 1 , further comprising: hashing a portion of the computation field and the URI to create a unique name for the second content object; and caching the second content object using the unique name. 7 . A network device configured to execute a method for computational transformations conveyed in a content centric networking (CCN) request, the network device comprising: a non-transitory computer-readable medium having stored therein a computation engine; and a processor coupled to the non-transitory computer-readable medium, the processor configured to execute the computation engine module, the computation engine configured to receive a CCN request containing a unique resource identifier (URI) and a computation field, to decode the computation field to determine a computation pipeline, to retrieve a first content object identified by the URI, to execute the computation pipeline with the content object as input, and to encode a result of the computation pipeline as a second content object. 8 . The network device of claim 7 , wherein the CCN request is received from a CCN client, the computation engine further configured to generate a CCN response including the second content object, and to return the CCN response to the CCN client. 9 . The network device of claim 7 , wherein decoding the computation field to determine the computational pipeline further includes establishing a serial pipeline of functions. 10 . The network device of claim 7 , wherein decoding the computation field to determine the computational pipeline further includes establishing a parallel pipeline of functions. 11 . The network device of claim 7 , wherein decoding the computation field to determine the computational pipeline further includes establishing a complex pipeline of functions including a hierarchy of parallel and serial functions. 12 . The network device of claim 7 , wherein the computation engine is further configured to hash a portion of the computation field and the URI to create a unique name for the second content object, and cache the second content object using the unique name. 13 . A computing device configured to execute a plurality of virtual machines for implementing network function virtualization (NFV), wherein a virtual machine from the plurality of virtual machines is configured to execute a method for computational transformations conveyed in a content centric networking (CCN) request, the computing device comprising: a non-transitory computer-readable medium having stored therein a computation engine; and a processor coupled to the non-transitory computer-readable medium, the processor configured to execute the virtual machine, the virtual machine configured to execute the computation engine module, the computation engine configured to receive a CCN request containing a unique resource identifier (URI) and a computation field, to decode the computation field to determine a computation pipeline, to retrieve a first content object identified by the URI, to execute the computation pipeline with the content object as input, and to encode a result of the computation pipeline as a second content object. 14 . The computing device of claim 13 , wherein the CCN request is received from a CCN client, the computation engine further configured to generate a CCN response including the second content object, and to return the CCN response to the CCN client. 15 . The computing device of claim 13 , wherein decoding the computation field to determine the computational pipeline further includes establishing a serial pipeline of functions. 16 . The computing device of claim 13 , wherein decoding the computation field to determine the computational pipeline further includes establishing a parallel pipeline of functions. 17 . The computing device of claim 13 , wherein decoding the computation field to determine the computational pipeline further includes establishing a complex pipeline of functions including a hierarchy of parallel and serial functions. 18 . The computing device of claim 13 , wherein the computation engine is further configured to hash a portion of the computation field and the URI to create a unique name for the second content object, and cache the second Content object using the unique name. 19 . A control plane device to implement a control plane of a software defined networking (SDN) network including a plurality of network devices implementing a method for computational transformations conveyed in a content centric networking (CCN) request, the control plane device comprising: a non-transitory computer-readable medium having stored therein a computation engine; and a processor coupled to the non-transitory computer-readable medium, the processor configured to execute the computation engine module, the computation engine configured to receive a CCN request containing a unique resource identifier (URI) and a computation field, to decode the computation field to determine a computation pipeline, to retrieve a first content object identified by the URI, to execute the computation pipeline with the content object as input, and to encode a result of the computation pipeline as a second content object. 20 . The control plane device of claim 19 , wherein the CCN request is received from a CCN client, the computation engine further configured to generate a CCN response including the second content object, and to return the CCN response to the CCN client. 21 . The control plane device of claim 19 , wherein decoding the computation field to determine the computational pipeline further includes establishing a serial pipeline of functions. 22 . The control plane device of claim 19 , wherein decoding the computation field to determine the computational pipeline further includes establishing a parallel pipeline of functions. 23 . The control plane device of claim 19 , wherein decoding the computation field to determine the computational pipeline further includes establishing a complex pipeline of functions including a hierarchy of parallel and serial functions.
Object-oriented techniques, for representation of network management data, e.g. common object request broker architecture [CORBA] · CPC title
using hashing · CPC title
using virtualisation of network functions or resources, e.g. SDN or NFV entities · CPC title
Routing a service request depending on the request content or context · CPC title
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