Prosecution Insights
Last updated: July 17, 2026
Application No. 18/447,768

GENERALIZING COMPUTING TASKS FOR EXECUTION BY DISTRIBUTED LEDGER TECHNOLOGIES

Final Rejection §102§103
Filed
Aug 10, 2023
Examiner
KE, PENG
Art Unit
2194
Tech Center
2100 — Computer Architecture & Software
Assignee
Cisco Technology Inc.
OA Round
2 (Final)
53%
Grant Probability
Moderate
3-4
OA Rounds
1y 10m
Est. Remaining
77%
With Interview

Examiner Intelligence

Grants 53% of resolved cases
53%
Career Allowance Rate
119 granted / 224 resolved
-1.9% vs TC avg
Strong +24% interview lift
Without
With
+23.8%
Interview Lift
resolved cases with interview
Typical timeline
4y 9m
Avg Prosecution
21 currently pending
Career history
246
Total Applications
across all art units

Statute-Specific Performance

§101
3.3%
-36.7% vs TC avg
§103
86.6%
+46.6% vs TC avg
§102
4.9%
-35.1% vs TC avg
§112
1.4%
-38.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 224 resolved cases

Office Action

§102 §103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Detail Action In the amendment filed 04/28/2026, claims 1-20 are pending, claims 1, 2, 6, 10, and 17 are amended. This is a Final Action. Response To Argument 35 USC § 101 Applicant’s arguments, see Remarks, filed 04/28/2026, with respect to 35 USC § 101 have been fully considered and are persuasive. The 35 USC § 101 of 1-20 has been withdrawn. 35 USC § 102 Applicant’s arguments focused on following: Duraisingham does not disclose or suggest identifying one or more computing services of the plurality of computing services based on the one or more policy rules and the one or more parameters for performing the computing task or adapting a request to be compatible with one or more protocols of the one or more computing services. Examiner disagrees: Duraisingham teaches these limitations because the system identifying proper gateways and servers based on the identifier assigned to the computing service and score/point assigned to the gateways/server. (see Duraisingham p0078-p0081) And the gateways are updated based on the ledger and the assigned protocol. (see Duraisingham p0081). Claim Rejections – 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-6, 9-15, and 17-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Duraisingh et al US 2021/0191826. 18/447,768 Duraisingh et al US 2021/0191826 Claim 1 A computer-implemented method comprising: Duraisingh abstract; Obtaining, at one or more servers, a request from a client device to execute a computing task, wherein the request includes a type of computing task and one or more parameters for performing the computing task; Duraisingh p0065-p0147; Duraisingh teaches listen to an IoT Hub (e.g., a Microsoft Azure IoT Hub) using Advanced Message Queuing Protocol (AMQP) and/or MQ Telemetry Transport (MQTT) protocol. When the ledger monitor service sends the gateway ledger file to the IoT Hub, the listening gateway can be configured to download a file assigned to the gateway. Based on the information in the ledger, the gateway can be configured to take the appropriate action, i.e., storing and updating the local database, subscribing/polling or unsubscribing to the points assigned to it by the ledger monitor service; Duraisingh p0080-p0084; Obtaining, at the one or more servers, one or more policy rules that indicate a plurality of computing services and criteria for selecting a computing service of the plurality of computing services for performing a task based on a type of the task and parameters of the task, wherein the plurality of computing services include at least two different distributed ledger networks; Duraisingh p0090-p0105; Duraisingh teaches at service provided to multiple networks. See Duraisingh p0034-p0088; Communication between Wired and wireless network. Duraisingh p0053; Duraisingh p0080-p0084; Identifying, by the one or more servers, one or more computing services of the plurality of computing services based on the one or more policy rules and the one or more parameters for performing the computing task; and Adapting, by the one or more servers, the request to be compatible with one or more protocols of the one more computing services; and Providing, by the one or more servers, the request to the one or more computing services to perform the computing task. Duraisingh p0065-p0147; Duraisingh teaches listen to an IoT Hub (e.g., a Microsoft Azure IoT Hub) using Advanced Message Queuing Protocol (AMQP) and/or MQ Telemetry Transport (MQTT) protocol. When the ledger monitor service sends the gateway ledger file to the IoT Hub, the listening gateway can be configured to download a file assigned to the gateway. Based on the information in the ledger, the gateway can be configured to take the appropriate action, i.e., storing and updating the local database, subscribing/polling or unsubscribing to the points assigned to it by the ledger monitor service; Duraisingh p0080-p0082; Duraisingh teaches the specification information can include processor data. The processor data may determine the speed at which points can be subscribed to by one of the software gateways. The specification information can include a clock speed. The clock speed can indicate how much data and points can be processed by one of the software gateways. The specification information can include available RAM. The RAM determines how many points can be subscribed to by one of the software gateways. The specification information can include available hard disk space. The available hard disk space can indicate how many point worth of data can be stored by one of the software gateways. The specification information can include LAN speed. The LAN speed can indicate the speed at which one of the software gateways can retrieve data from a point. The specification information can further indicate Internet speed. The Internet speed may determine the speed in which data can be posted to the ledger server and/or another cloud platform by one of the software gateways. Each of the aforementioned specification parameters can have a weightage assigned to it. Based on the weightages and the specification parameter values for the software gateways, ledger monitor service can generate a score for the software gateways. The score can determine the ability of the software gateways to handle data. Duraisingh p0083-p0084. Claim 2 The computer-implemented method of claim 1, wherein the one or more computing services comprise a distributed ledger, and further comprising: selecting a particular contribution node of the distributed ledger; providing the request to the particular contribution node; obtaining a response from the distributed ledger; and providing the response to the client device, wherein the response indicates a state of execution of the computing task. Duraisingh p0059-p0085; Claim 3 The computer-implemented method of claim 1, wherein the plurality of computing services are selected from a group of: a storage service, a smart contract service, a token transaction service, and an inventory management service. Duraisingh p0048-p0085; Claim 4 The computer-implemented method of claim 1, wherein the computing task includes a communication between the at least two different distributed ledger networks. Duraisingh p0053 Claim 5 The computer-implemented method of claim 1, further comprising: providing one or more application programming interfaces configured to transmit the request to the one or more computing services. Duraisingh p0048-p0085; Claim 6 The computer-implemented method of claim 1, further comprising: providing a selection model that determines the one or more computing services based on the one or more parameters of the request and based on one or more of: a cost parameter of the one or more computing services, a maturity parameter of the one or more computing services, a stability parameter of the one or more computing services, and an availability parameter of the one or more computing services. Duraisingh p0145; Clam 9 The computer-implemented method of claim 1, further comprising: updating the one or more policy rules based on monitoring the plurality of computing services. Duraisingh p0050-p0091; As per claims 10-15, they are rejected under the same rationale as claims 1-6. See rejection above. As per claims 17-20, they are rejected under the same rationale as claims 1-4. See rejection above. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 7, 8, and 16 are rejected under 35 U.S.C. 103 as being unpatentable over Duraisingh et al US 2021/0191826 in view of Faulhaber, Jr. et al. US 2019/0156244. 18/447,768 Duraisingh et al US 2021/0191826 in view of Faulhaber, Jr. et al. US 2019/0156244 Claim 7 The computer-implemented method of claim 6, wherein the selection model comprises a multi-armed bandit model. Duraisingh p0065-p0147; Faulhaber teaches bandit models. (see p0062) It would have been obvious at the time of the invention for a person ordinary skill in the art (POSITA) to include Faulhaber’s teaching with method of Duraisingh in order to allow user to implement different learning model. Claim 8 The computer-implemented method of claim 6, wherein the selection model comprises a machine learning model, and further comprising: training the machine learning model using training data including previous computing tasks executed by the plurality of computing services or other computing services. Faulhaber p0055-p0066; It would have been obvious at the time of the invention for a person ordinary skill in the art (POSITA) to include Faulhaber’s teaching with method of Duraisingh in order to allow user to implement different learning model. As per claim 16, it is rejected under the same rationale as claim 8. See rejection above. Related Prior Art Here is a list of references relates to Network Distribution System: Rodriguez et al. US 20220171648: Container-First Architecture. Barkett et al. US 2022/0308911: System and Method for a distributed workflow system. Cella US 2019/0340716: Transaction-enabled systems and methods for creating an aggregate stack of intellectual property. Conclusion THIS ACTION IS MADE FINAL. Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Contact Information Any inquiry concerning this communication or earlier communications from the examiner should be directed to PENG KE whose telephone number is (571)272-4062. The examiner can normally be reached M-F 6:30-5:00. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Kevin Young can be reached at (571) 270-3180. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. PENG KE Primary Examiner Art Unit 2194 /PENG KE/Primary Examiner, Art Unit 2194
Read full office action

Prosecution Timeline

Aug 10, 2023
Application Filed
Jan 30, 2026
Non-Final Rejection mailed — §102, §103
Mar 27, 2026
Interview Requested
Apr 15, 2026
Interview Requested
Apr 27, 2026
Applicant Interview (Telephonic)
Apr 28, 2026
Response Filed
May 01, 2026
Examiner Interview Summary
Jun 22, 2026
Final Rejection mailed — §102, §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
53%
Grant Probability
77%
With Interview (+23.8%)
4y 9m (~1y 10m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 224 resolved cases by this examiner. Grant probability derived from career allowance rate.

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