Apparatus and methods for managing delivery of content in a network with limited bandwidth using pre-caching
Apparatus and methods for managing provision of content to devices in a content delivery network. In one exemplary embodiment, content with a high probability of viewership is sent to consumer premises equipment (CPE) during off-peak periods and stored prior to viewing. An application is utilized to manage decisions related to content provision. The computer program will identify content that is likely to be of interest users associated with respective CPE, and schedule provision of that content in advance of viewing. Then, the system will develop a plan for optimal scheduling of transmission of content to CPEs, often including the use of trickle downloads. The scheduling plan is based collected statistical and historical data on network resource demand to make scheduling decisions. The system allows for the shifting of bandwidth utilization from periods of high demand to those of low demand, and increased performance with regard to user experienced latency.
1. An apparatus for management and distribution of content in a content delivery network, said apparatus comprising:
at least one interface configured to communicate with a plurality of computerized client devices operatively coupled to said content delivery network;
one or more storage apparatus configured to:
store a plurality of digitally rendered content for distribution to subsets of said plurality of computerized client devices;
store data representative of one or more rules to guide said distribution of individual ones of said plurality digitally rendered content; and
store classification data related to said individual ones of said plurality of said digitally rendered content; and
a processing unit in data communication with said at least one interface and said one or more storage apparatus, said processing unit comprising computerized logic configured to:
based at least in part on said classification data, identify individual ones of said plurality of digitally rendered content that are high probability of viewership (HpoV) content for one of said subsets of said plurality of computerized client devices;
identify data representative of one or more rules to guide said distribution of said HpoV content from among said data representative of one or more rules to guide said distribution of said individual ones of said plurality of said digitally rendered content;
cause transmission of both (i) said HpoV content and (ii) said data representative of one or more rules to guide distribution of said HpoV content to said one of said subsets of said plurality of computerized client devices, where said transmission to said one of said subsets of said plurality of computerized client devices is configured to occur when network resource demand is below a predetermined threshold; and
schedule, using at least the computerized logic, said transmission of said HpoV content and said data representative of one or more rules to a different future time when said network resource demand is above said predetermined threshold.
2. The apparatus of claim 1 , wherein:
said scheduled transmission complies with said data representative of one or more rules to guide said distribution of said HpoV content.
3. The apparatus of claim 1 , wherein said scheduled transmission comprises a trickle download.
4. The apparatus of claim 1 , wherein:
said storage apparatus is further configured to store data associated with individuals ones of said plurality of computerized client devices; and
said identification of said HpoV content is based at least in part on said data associated with said individuals ones of said plurality of computerized client devices.
5. The apparatus of claim 1 , wherein said classification data includes one or more of: (i) data comprising a description of a subject matter of said individual ones of said plurality of said content, (ii) data comprising a list of other content related to said individual ones of said plurality of said content, and (iii) data comprising demographic information related to said individual ones of said plurality of said content.
6. The apparatus of claim 1 , wherein said processing unit is further configured to increase a rate of said transmission at least in part in response to a determination that at least one user associated with at least one of said subset of said plurality of computerized client devices has initiated a presentation of said HpoV content at a client device.
7. The apparatus of claim 1 , wherein said wherein said processing unit is further configured to cause transmission of said one or more of said HpoV content to a first one of said plurality of computerized client devices, said first computerized client device configured to operate as a peer to one or more second computerized client devices disposed at a respective different premises from said first computerized client device and configured to transmit said HpoV content to said one or more second computerized client devices.
8. A method of operating a content delivery network, said method comprising:
identifying digitally rendered content with a high probability of viewership;
during a period of predicted low network demand, providing, at a transmission rate less than that associated with a real-time presentation of said digitally rendered content, said digitally rendered content in an incomplete form and storage rules for said digitally rendered content, said digitally rendered content in said incomplete form rendered un-viewable without combination with a remaining portion of said digitally rendered content;
when a demand for network resources spikes during said provision of said digitally rendered content in said incomplete form:
stopping provision of said digitally rendered content; and
rescheduling provision of said digitally rendered content in said incomplete form to a future time of predicted low network demand; and
providing said remaining portion of said digitally rendered content.
9. The method of claim 8 , further comprising increasing a rate of said provision of said digitally rendered content at least in part in response to a determination that at least one user has initiated a presentation of said digitally rendered content at a client device.
10. A method of operating a content delivery network to one or more client devices, the method comprising:
identifying digitally rendered high probability of viewership (HpoV) content, the identifying of the digitally rendered HpoV content comprising correlating programming content to at least one content consumption characteristic of one or more users of the one or more computerized client devices; and
scheduling a portion of the digitally rendered HpoV content to be transmitted to the one or more computerized client devices during a period in which network usage is below a threshold, a size of the portion of the digitally rendered HpoV content scheduled to be transmitted being determined based on an algorithmic evaluation of a likelihood of viewership of the digitally rendered HpoV content by the one or more users;
wherein the transmission of the digitally rendered HpoV content comprises transmission at a rate of data transmission that is lower than that required to view the digitally rendered HpoV content in real time.
11. The method of claim 10 , wherein the transmitting of the portion of the digitally rendered HpoV content to the one or more computerized client devices comprises transmitting the portion of the digitally rendered HpoV content to a wireless-enabled mobile device.
12. The method of claim 10 , further comprising providing data implementing one or more rules in addition to the digitally rendered HpoV content, the data implementing the one or more rules comprising data implementing restrictions on at least one of: (i) access to the digitally rendered HpoV content by the one or more computerized client devices, and/or (ii) copying of the digitally rendered HpoV content to another device.
13. The method of claim 10 , wherein the scheduling of the portion of the digitally rendered HpoV content to be transmitted is based at least in part on a network resource demand falling below the threshold.
14. The method of claim 10 , wherein the transmitting of the portion of the digitally rendered HpoV content comprises transmitting in an incomplete form so as to cause at least one of: (i) frustration of user access or viewing of the digitally rendered HpoV content; and/or (ii) reduced-quality previewing of the digitally rendered HpoV content.
15. The method of claim 10 , wherein the at least one content consumption characteristic of the one or more users of the one or more computerized client devices comprises one or more of: viewing history, preferences, and/or demographic information, each correlated to the one or more users.
16. The method of claim 10 , wherein the period in which network demand is below the threshold further comprises a specific time period that is predicted to comprise a reduction in network demand relative to another time period that is outside of the specific time period.
17. A non-transitory computer-readable apparatus comprising a storage medium having a computer program therein, said computer program comprising a plurality of instructions configured to, when executed by a processor apparatus of a computerized apparatus, cause said computerized apparatus to:
cause identification of high probability of viewership (HpoV) content; and
cause scheduling of transmission of said HpoV content to one or more computerized client devices of a content delivery network during an expected period of off-peak network demand, said scheduled transmission comprising a transmission rate less than that associated with a real-time presentation of said HpoV content;
responsive to at least (i) initiation of said real-time presentation of said HpoV content on at least one of said one or more computerized client devices prior to completion of said scheduled transmission, and (ii) determination of a change in network demand during said real-time presentation of said HpoV content, cause increase of said transmission rate of said scheduled transmission; and
responsive to (i) completion of said scheduled transmission, and (ii) a change in said network demand, cause enablement of access to said transmitted HpoV content stored on at least one of said one or more computerized client devices.
18. The non-transitory computer-readable apparatus of claim 17 , wherein said content delivery network comprises a managed content delivery network, and said HpoV content comprises content aggregated by a multiple systems operator (MSO) associated with said managed content delivery network.
19. The non-transitory computer-readable apparatus of claim 17 , wherein said HpoV content comprises over-the-top (OTT) content sourced from a third-party content source.
20. The non-transitory computer-readable apparatus of claim 17 , wherein said plurality of instructions are further configured to, when executed by said processor apparatus, cause said computerized apparatus to transmit said HpoV content to at least one digital data storage device disposed in the content delivery network, and cache said transmitted HpoV content at said at least one digital data storage device;
wherein said cached HpoV content is accessible by at least one of said one or more computerized client devices.
21. The non-transitory computer-readable apparatus of claim 17 , wherein said plurality of instructions are further configured to, when executed by said processor apparatus, cause said computerized apparatus to determine whether said HpoV content is available for transmission;
wherein said determination of whether said HpoV content is available for transmission comprises an evaluation of data associated with one or more of (i) an eligibility of said at least one of said one or more computerized client devices and (ii) a possible time for said transmission.
22. The non-transitory computer-readable apparatus of claim 17 , wherein said identification of HpoV content comprises usage of classification data, said classification data comprising one or more of:
data indicative of a frequency of consumption of said HpoV content; and
data indicative of a request for said HpoV content from said at least one of said one or more computerized client devices.
23. The non-transitory computer-readable apparatus of claim 17 , wherein said identification of HpoV content comprises usage of classification data, said classification data comprising one or more of:
data indicative of a demographic relationship to or aspect of said HpoV content; and
data indicative of a history of consumption corresponding to subject matter of said HpoV content.
24. The non-transitory computer-readable apparatus of claim 17 , wherein said plurality of instructions are further configured to, when executed by said processor apparatus, cause said computerized apparatus to determine said expected period of off-peak network demand via collection and organization of data related to usage statistics of said content delivery network, and production of data detailing expected network usage.
25. The non-transitory computer-readable apparatus of claim 17 , wherein said identification of HpoV content comprises usage of classification data associated with one or more computerized client devices associated with said HpoV content.
26. The non-transitory computer-readable apparatus of claim 17 , wherein said expected period of off-peak demand comprises a specific period in a 24-hour day which is predicted to have off-peak demand.
27. The non-transitory computer-readable apparatus of claim 17 , wherein said scheduling of transmission is based at least in part on receipt of data by the computerized apparatus indicating an occurrence of an event, said event comprising a network resource demand falling below a predetermined threshold.
28. The non-transitory computer-readable apparatus of claim 17 , wherein said HpoV content is transmitted in an incomplete form so as to cause at least one of: (i) prevention of user viewing, and (ii) reduced quality previewing.
29. The non-transitory computer-readable apparatus of claim 17 , wherein availability of said stored HpoV content to a user of said at least one of said one or more computerized client devices is based on at least one of: (i) a service level of said user and (ii) a current network resource demand.