Prosecution Insights
Last updated: May 29, 2026
Application No. 18/626,637

HARDWARE DISTRIBUTION AND ENERGY EFFICIENT SCHEDULING USING DIGITAL EMISSIONS DATA

Non-Final OA §103
Filed
Apr 04, 2024
Examiner
TANG, KAREN C
Art Unit
2447
Tech Center
2400 — Computer Networks
Assignee
International Business Machines Corporation
OA Round
3 (Non-Final)
70%
Grant Probability
Favorable
3-4
OA Rounds
1y 9m
Est. Remaining
95%
With Interview

Examiner Intelligence

Grants 70% — above average
70%
Career Allowance Rate
483 granted / 688 resolved
+12.2% vs TC avg
Strong +25% interview lift
Without
With
+24.6%
Interview Lift
resolved cases with interview
Typical timeline
3y 11m
Avg Prosecution
12 currently pending
Career history
702
Total Applications
across all art units

Statute-Specific Performance

§101
1.2%
-38.8% vs TC avg
§103
90.2%
+50.2% vs TC avg
§102
6.3%
-33.7% vs TC avg
§112
0.9%
-39.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 688 resolved cases

Office Action

§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 . A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.1 14, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.1 14. Applicant's submission filed on 03/03/2026 has been entered. Claims 1-20 are presented for further examination. DETAILED ACTION Response to Arguments Applicant's arguments filed 03/03/2026 have been fully considered but they are not persuasive. Applicant argues that the references fail to disclose the newly amended limitations. Examiner respectfully disagrees. Wenzel discloses the alleged missing limitations: Wenzel discloses the emission load target for the assets where the the load target indicates a limit on digital emission related to the operation of the assets (carbon emission constraint such as amount of rate of carbon emission per unit of any given resources , refer to par 0268 and policy definition of the equipment operations, refer to par 0084, 0087 and 0093) “…accounts for an anticipated lifespan of the asset (consider life of the assets, refer to 0090); … wherein the energy utilization data includes data regarding processing utilization and memory utilization of a workload executing on the asset (determine utilization of energy base on the processing and memory utilization, refer to par 0046, 0044, 0043 and 0012) and wherein the digital emission forecast for the asset is generated further based on utility data indicating of a type of power provided to the asset (type of power such as carbon emission which each type of has different type of rate of carbon emission per unit, refer to par 0093 and 0250-0255 and rate of emission is considered to determine the digital emission forecast). Therefore, the arguments are not persuasive, and the cite art of references disclose the alleged missing limitations. Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. 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. Claim(s) 1-20 is/are rejected under 35 U.S.C. 103 as being unpatentable over Wenzel et al hereinafter Wenzel (US 20230253787) in view of McGuire et al hereinafter McGuire (US 2022/0398515). Referring to Claim 1. Wenzel discloses a method comprising: determining an emissions load target for an asset (carbon emission constraint , refer to par 0268) and wherein the emissions load target accounts for emissions attributable to a manufacture of the asset and to the operation of the asset (emission is account for manufactory of the assets: plants that has supplants of different types of equipment, produce carbon emission, refer to par 0084, 0087, 0093, 0094, 0096, 0135 and operation of the assets: rate of emission of natural gas per type of supplants which contains multiple equipment), wherein the emissions load target indicates a limit on digital emissions related to operation of the asset (refer to par 0111, 0268) and accounts for an anticipated lifespan of the asset (consider life of the assets, refer to 0090); determining, based on energy utilization data, a future energy utilization projection for the asset (refer to par 0110, 0111, par 0119, 0136, 0167)wherein the energy utilization data includes data regarding processing utilization and memory utilization of a workload executing on the asset (determine utilization of energy base on the processing and memory utilization, refer to par 0046, 0044, 0043 and 0012) ; generating, based on the future energy utilization projection, a digital emissions forecast for the asset based on digital emissions attributable to the asset (expected caron foot printed vs energy consumption projection in the future, refer to par 0250-0255); and alleviating an energy demand of a workload executing on the asset in response to determining that the digital emissions forecast exceeds the emissions load target (adjust the demand, refer to par 0255-0255, 0011). McGuire, in analogous art, is introduced to demonstrate the well-known features such that: it is well known to estimate potential failovers of the components based on predicted energy consumption and to ensure the continued service in a green manner such that to execute an efficient carbon footprint awareness mechanism (refer to par 0028 and 0031). It would have been obvious for one of ordinary skill in the art before the effective filing date of the claimed invention to combine the teaching of Wenzel with McGuire because McGuire’s teaching would allow the system of Wenzel to provide energy efficiency and reduce power consumption. Referring to Claim 2. Wenzel and McGuire disclosed the method of claim 1, Wenzel further discloses wherein the emissions load target accounts for emissions attributable to manufacture of the asset (facility and asset associated with facility, refer to par 0267), the operation of the asset, and at least one of decommissioning of the asset or a disposal of the asset (emission is account for manufactory of the assets: plants that has supplants of different types, produce carbon emission, refer to par 0094, 0096, 0135 and operation of the assets: rate of emission of natural gas per type of supplants and turn equipment on/off, refer to par 0282) and wherein the digital emission forecast for the asset is generated further based on utility data indicating of a type of power provided to the asset (type of power such as carbon emission which each type of has different type of rate of carbon emission per unit, refer to par 0093 and 0250-0255 and rate of emission is considered to determine the digital emission forecast). Referring to Claim 3. Wenzel and McGuire disclosed the method of claim 1, Wenzel further discloses wherein alleviating an energy demand of the workload executing on the asset in response to determining that the digital emissions forecast exceeds the emissions load target includes: moving the workload from the asset to a different asset (refer to par 0190, 0245). Referring to Claim 4. Wenzel and McGuire disclosed the method of claim 3, Wenzel further discloses wherein moving the workload from the asset to the different asset includes: selecting another asset, based on its emissions load target and digital emissions forecast, to execute the workload (refer to par 0187, 0252-0254). Referring to Claim 5. Wenzel and McGuire disclosed the method of claim 3, McGuire further discloses wherein moving the workload includes moving the workload to a different datacenter (refer to abstract). It would have been obvious for one of ordinary skill in the art before the effective filing date of the claimed invention to combine the teaching of Wenzel with McGuire because McGuire’s teaching would allow the system of Wenzel to provide energy efficiency and reduce power consumption. Referring to Claim 6. Wenzel and McGuire disclosed the method of claim 3, McGuire further discloses wherein moving the workload is responsive to determining that the energy demand of the workload cannot be alleviated by transitioning the workload among a plurality of execution states in accordance with a state schedule (refer to par 0023, 0031 and 0040). It would have been obvious for one of ordinary skill in the art before the effective filing date of the claimed invention to combine the teaching of Wenzel with McGuire because McGuire’s teaching would allow the system of Wenzel to provide energy efficiency and reduce power consumption. Referring to Claim 7. Wenzel and McGuire disclosed the method of claim 1, Wenzel further discloses wherein alleviating an energy demand of the workload executing on the asset in response to determining that the digital emissions forecast exceeds the emissions load target includes: transitioning the workload among a plurality of execution states in accordance with a state schedule, wherein the plurality of execution states includes at least an active state and an inactive state (optimization/alleviation is performed based on the constraints, based on the user selected plan reduce or eliminate equipment the refer to par 0231, 0242-0243, 0282). Referring to Claim 8. Wenzel and McGuire disclosed the method of claim 7, Wenzel further discloses wherein transitioning the workload among a plurality of execution states in accordance with a state schedule includes: determining a state schedule for the workload based on an activity profile of the workload and a plurality of cost metrics for each of the plurality of execution states (refer to par 0262-0264, 0275-027). Referring to Claim 9. Wenzel and McGuire disclosed the method of claim 8, Wenzel further discloses wherein determining the state schedule for the workload includes: evaluating a total cost of each of a plurality of candidate state schedules (refer to par 0252-0255, 0262-0264); and selecting a candidate state schedule that minimizes digital emissions attributable to the workload (refer to par 0252-0255, 0262-0264). Referring to Claim 10. Wenzel and McGuire disclosed the method of claim 8, Wenzel further discloses wherein determining the state schedule for the workload includes: providing the activity profile and the plurality of cost metrics to a pretrained machine learning model, wherein the pretrained machine learning model outputs a state schedule that minimizes digital emissions attributable to the workload (the optimization will minimize the digital emission, with cost-vs carbon information, as well as temperature setpoints in a building, and equipment’s as well as components of local energy system, refer to par 0247-0255, 0262- 0264, 00282). Referring to Claim 11. Wenzel and McGuire disclosed the method of claim 8, Wenzel further discloses wherein determining the state schedule for the workload is further based on service level requirements for the workload (refer to par 0129, 0243). Referring to Claim 12. Wenzel and McGuire disclosed the method of claim 7, Wenzel further discloses wherein determining the state schedule for the workload is responsive to determining that the energy demand of the workload cannot be alleviated by moving the workload (refer to par 0023, 0031 and 0040). It would have been obvious for one of ordinary skill in the art before the effective filing date of the claimed invention to combine the teaching of Wenzel with McGuire because McGuire’s teaching would allow the system of Wenzel to provide energy efficiency and reduce power consumption. Referring to Claims 13-20, claims are rejected under similar rational as claims 1-12. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to KAREN C TANG whose telephone number is (571)272-3116. The examiner can normally be reached on 5:30am - 2:30pm. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Joon H Hwang can be reached on (571) 272-4036. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /KAREN C TANG/Primary Examiner, Art Unit 2447
Read full office action

Prosecution Timeline

Show 3 earlier events
Nov 12, 2025
Applicant Interview (Telephonic)
Nov 12, 2025
Response Filed
Nov 12, 2025
Examiner Interview Summary
Dec 03, 2025
Final Rejection mailed — §103
Feb 07, 2026
Response after Non-Final Action
Mar 03, 2026
Request for Continued Examination
Mar 14, 2026
Response after Non-Final Action
May 06, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12621222
METHOD FOR DETERMINING NETWORK OPTIMIZATION POLICY, APPARATUS, AND SYSTEM
2y 2m to grant Granted May 05, 2026
Patent 12621203
NETWORK ADDRESS ASSIGNMENT FAILOVER
1y 10m to grant Granted May 05, 2026
Patent 12615198
DYNAMIC TRAFFIC GENERATOR AND NETWORK IMPAIRMENT TOOL FOR SIMULATION OF VIRTUAL NETWORK FABRICS
2y 9m to grant Granted Apr 28, 2026
Patent 12609873
SYSTEMS AND METHODS FOR CONTROL OF APPLICATIONS BASED ON QUALITY OF SERVICE MONITORING
2y 5m to grant Granted Apr 21, 2026
Patent 12602697
SYSTEMS AND METHODS FOR PROVISIONING EMBEDDED INTERNET OF THINGS UNIVERSAL IDS (IOT UIDS) IN BROWNFIELD DEVICES
3y 3m to grant Granted Apr 14, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

3-4
Expected OA Rounds
70%
Grant Probability
95%
With Interview (+24.6%)
3y 11m (~1y 9m remaining)
Median Time to Grant
High
PTA Risk
Based on 688 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month