Techniques for persistent firmware transfer monitoring
US-2018181762-A1 · Jun 28, 2018 · US
US11029937B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11029937-B2 |
| Application number | US-201916421878-A |
| Country | US |
| Kind code | B2 |
| Filing date | May 24, 2019 |
| Priority date | Mar 23, 2017 |
| Publication date | Jun 8, 2021 |
| Grant date | Jun 8, 2021 |
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Technologies for performing energy efficient software distribution include a mesh node. The mesh node is to obtain fingerprint data of a plurality of other mesh nodes in a network. The mesh node is also to determine corresponding characteristics of the mesh nodes from the obtained fingerprint data, including an energy status of each of the mesh nodes. The mesh node is also to perform an analysis of a software update, determine, as a function of the analysis of the software update, one or more target mesh nodes of the plurality of mesh nodes for the software update, and determine a path through the mesh nodes to the one or more target mesh nodes as a function of the fingerprint data. Other embodiments are also described and claimed.
Opening claim text (preview).
The invention claimed is: 1. A publisher server for providing a software update, the publisher server comprising: a software update sender circuitry to generate data indicative of characteristics of a software update, wherein the characteristics include a criticality of the software update, wherein to generate data indicative of characteristics of the software update comprises a generate a publication Bloom value indicative of the characteristics, wherein the software update is provided to a first mesh node having a first Bloom filter indicative of a predefined likelihood that the mesh node accepts the software update, and wherein the software update is provided to a second mesh node having a second Bloom filter that matches a publication Bloom values of the software update; and a network communicator circuitry to provide the software update to a mesh node for distribution through a network. 2. The publisher server of claim 1 , wherein to generate data indicative of characteristics of the software update comprises to generate data indicative of at least one of a version of the software update. 3. The publisher server of claim 1 , wherein to generate data indicative of characteristics of the software update comprises to generate data indicative of a mesh node type associated with the software update. 4. The publisher server of claim 1 , wherein to generate data indicative of characteristics of the software update comprises to generate data indicative of one or more sensors to which the software update pertains. 5. The publisher server of claim 1 , wherein the software update is provided to a third mesh node having a third Bloom filter that is primarily set to ones. 6. A method for providing a software update, the method comprising: generating, by a publisher server, data indicative of characteristics of a software update, wherein the characteristics include a criticality of the software update, wherein to generate data indicative of characteristics of the software update comprises a generate a publication Bloom value indicative of the characteristics, wherein the software update is provided to a first mesh node having a first Bloom filter indicative of a predefined likelihood that the mesh node accepts the software update, and wherein the software update is provided to a second mesh node having a second Bloom filter that matches a publication Bloom values of the software update; and providing, by the publisher server, the software update to a mesh node for distribution through a network. 7. The method of claim 6 , wherein generating data indicative of characteristics of the software update comprises generating data indicative of at least one of a version of the software update, a mesh node type associated with the software update, or one or more sensors to which the software update pertains. 8. The method of claim 6 , wherein the software update is provided to a third mesh node that has a third Bloom filer that is primarily set to ones. 9. One or more non-transitory machine-readable storage media comprising a plurality of instructions stored thereon that, in response to being executed, cause a publisher server to: generate data indicative of characteristics of a software update, wherein the characteristics include a criticality of the software update, wherein to generate data indicative of characteristics of the software update comprises a generate a publication Bloom value indicative of the characteristics, wherein the software update is provided to a first mesh node having a first Bloom filter indicative of a predefined likelihood that the mesh node accepts the software update, and wherein the software update is provided to a second mesh node having a second Bloom filter that matches a publication Bloom values of the software update; and provide the software update to a mesh node for distribution through a network. 10. The one or more non-transitory machine-readable storage media of claim 9 , wherein to generate data indicative of characteristics of the software update comprises to generate data indicative of at least one of a version of the software update, a mesh node type associated with the software update, or one or more sensors to which the software update pertains. 11. The one or more non-transitory machine-readable storage media of claim 9 , wherein the software update is provided to a third mesh node that has a third Bloom Filer that is primarily set to ones.
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in wireless communication networks · CPC title
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involving the movement of software or configuration parameters (network booting or remote initial program loading [RIPL] G06F9/4416) · CPC title
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