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Paper Citation Record · LEDGER

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2506.04902.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.04902 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:34:29.893310Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:05:30.909117Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-05T23:05:31.332080Z

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 405ddd83-2801-499b-8998-7b897902f60d · outbound

This paper cites Artificial intelligence (AI) and internet of things (IoT) in healthcare: Opportunities and challenges.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Artificial intelligence (AI) and internet of things (IoT) in healthcare: Opportunities and challenges

Reference 1

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raw_fallback, observed 2026-08-07T10:34:37.712043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.087161Z digest=sha256:a9e4f33b5f1c37cf2246d44804b9d82ef28c0f270615d432807684714904ac98

Observation ff5050df-d008-4011-8f1d-d766869a79eb · outbound

This paper cites Microservices: yesterday, today, and tomorrow.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Microservices: yesterday, today, and tomorrow

Reference 2

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raw_fallback, observed 2026-08-07T10:34:37.591961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.209541Z digest=sha256:d0cbb29c07dea3c036485a06382966655b373efd65ea4c422a4dd93408f28da8

Observation 46fc2abc-8cd9-4bdf-8a65-39c4ceaf2aac · outbound

This paper cites Se rverless computing: Current trends and open problems.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Se rverless computing: Current trends and open problems

Reference 3

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raw_fallback, observed 2026-08-07T10:34:37.390342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.316173Z digest=sha256:861d02a5145beb87f1aac3947f6edbaabff02c99ebb46d47b274332b64780dca

Observation df8d6caf-1935-4f65-9e8e-8c1056879711 · outbound

This paper cites A serverless real -time data analytics platform for edge computing.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS A serverless real -time data analytics platform for edge computing

Reference 4

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raw_fallback, observed 2026-08-07T10:34:37.121567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.422190Z digest=sha256:f3ff9a0aca6c0e674b2c5ce68f459df5130694811b93b24d4f1d10d58a7265aa

Observation c3f5b96d-cda1-4776-ac34-e56864fa3091 · outbound

This paper cites Kubernetes scheduling: Taxonomy, ongoing issues and challenges.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Kubernetes scheduling: Taxonomy, ongoing issues and challenges

Reference 5

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raw_fallback, observed 2026-08-07T10:34:36.835788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.504664Z digest=sha256:0935951eb88a1f0dec675221b36751455afc3ba4ff7a107d68be49a3d7fb4a1c

Observation 02577906-a6f7-4d79-9961-1ab4610480d4 · outbound

This paper cites Container ‐based cluster orchestration systems: A taxonomy and future directions.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Container ‐based cluster orchestration systems: A taxonomy and future directions

Reference 6

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raw_fallback, observed 2026-08-07T10:34:36.496413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.616268Z digest=sha256:c472612b551a501b63b475d1a369a212a39749a7a4d5d51d6fff204ad1f75c69

Observation 028600c5-af35-4de2-9018-f2e4b6917f5b · outbound

This paper cites Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Technological drivers in data centers and telecom systems: Multiscale thermal, electrical, and energy management

Reference 7

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raw_fallback, observed 2026-08-07T10:34:36.154305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.691899Z digest=sha256:170ffc308eceff4e0eb0d95d9928f376067b371ef054b4aa775a97c30bc34ae9

Observation 99b92b5e-e06c-45e8-bdbe-54732fb51c6f · outbound

This paper cites On global electricity usage of communication technology: trends to 2030.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS On global electricity usage of communication technology: trends to 2030

Reference 8

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raw_fallback, observed 2026-08-07T10:34:35.718015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.739119Z digest=sha256:3735fd24dabc59fb986358bba2291ffb14fd252227633a5e14a996209508d018

Observation f6f5d3ab-3f67-4546-9549-5e65a7bafd91 · outbound

This paper cites A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud

Reference 9

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raw_fallback, observed 2026-08-07T10:34:35.516193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.771519Z digest=sha256:7aea94089dab5d3e71a4c3177287ae3154b33f770fdf42970ac8847358cc884d

Observation 456ff8ff-4971-43d7-8e82-493e2654901e · outbound

This paper cites Energy -aware metaheuristic algorithm for industrial - Internet-of-Things task scheduling problems in fog computi ng applications.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Energy -aware metaheuristic algorithm for industrial - Internet-of-Things task scheduling problems in fog computi ng applications

Reference 10

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raw_fallback, observed 2026-08-07T10:34:35.234970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.828389Z digest=sha256:bbd5b84a67d3b0d210a98e9397f32168d93fb950545418e18352bc52c8148356

Observation 4e1a938d-8939-49de-bf9f-a70cf6668650 · outbound

This paper cites Quality -of-service in cloud computing: modeling techniques and their applications.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Quality -of-service in cloud computing: modeling techniques and their applications

Reference 11

Resolution
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raw_fallback, observed 2026-08-07T10:34:35.058075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.885739Z digest=sha256:aa0122afbcf2c2b80e00f2c0fbd1d45e779d929b52fd2e5e9690bd7c24fbba11

Observation 6277afca-4f32-4d32-a7b2-3855e073bc55 · outbound

This paper cites Resource optimization of container orchestration: a case study in multi -cloud microservices-based applications.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Resource optimization of container orchestration: a case study in multi -cloud microservices-based applications

Reference 12

Resolution
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raw_fallback, observed 2026-08-07T10:34:34.858607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.936627Z digest=sha256:92937e7782ec86c314e7b37d274c7cf8612fe14b846adc14307535b9a2fdfadf

Observation 0bb95df4-3bff-4260-ad7e-4787fa482ad5 · outbound

This paper cites O'Reilly Media, Inc.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS O'Reilly Media, Inc

Reference 13

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raw_fallback, observed 2026-08-07T10:34:34.711076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:27.993297Z digest=sha256:0269beacb3d437e35582107059ecf32d2057a228ead5c58747e6d6367201eb49

Observation 5ff7423f-c7ba-4ef2-ae7f-8f04946a86de · outbound

This paper cites An optimal network-aware scheduling technique for distributed deep learning in distributed HPC platforms.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS An optimal network-aware scheduling technique for distributed deep learning in distributed HPC platforms

Reference 14

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raw_fallback, observed 2026-08-07T10:34:34.503529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.036855Z digest=sha256:8796b279df883738995911c96f8de490a8c510d1ff928fafd1e1322dd731b11e

Observation 1245f0f8-ab77-4152-9cd6-d5b665454032 · outbound

This paper cites Kube -scheduler.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Kube -scheduler

Reference 15

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raw_fallback, observed 2026-08-07T10:34:34.268315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.075007Z digest=sha256:ba4f531499f22084b462ace452ce981db1faedd2385e0f1c0836a1f23515fd83

Observation c55ecb8f-266e-4fa3-a2d8-565af01d1d23 · outbound

This paper cites EIS: Edge Information - Aware Scheduler for Containerized IoT Applications.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS EIS: Edge Information - Aware Scheduler for Containerized IoT Applications

Reference 16

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.174006Z digest=sha256:9b0d24f80fdb4ac3f69afa93d94147e96e045d1e77ccb2858d155d76bfc303e6

Observation d819b213-d389-4cae-829b-e65fc4741f66 · outbound

This paper cites Geo -distributed efficient deployment of containers with kubernetes.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Geo -distributed efficient deployment of containers with kubernetes

Reference 17

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raw_fallback, observed 2026-08-07T10:34:33.836300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.231660Z digest=sha256:0aeccdad7523b93b37a47d70549c80f68274e34b3e95a7c9cfaa83c602ac90d2

Observation 8512a32f-2c55-4581-ac11-eed071d131d6 · outbound

This paper cites KCSS: Kubernetes container scheduling strategy.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS KCSS: Kubernetes container scheduling strategy

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.301696Z digest=sha256:6d879b8086430cc5ca9c26f11053c7b9d0627f1f5a804adc5d9de8632654fd4c

Observation 2b2641dc-227d-4f13-bed5-0516f00923e8 · outbound

This paper cites Container Scheduling Using TOPSIS Algorithm.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Container Scheduling Using TOPSIS Algorithm

Reference 19

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raw_fallback, observed 2026-08-07T10:34:33.565108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.389676Z digest=sha256:be2ab9d70987a1bf566698492fe8fa8125b6170183f788669b5df26cc2f3eec6

Observation 8cf224cf-1174-4de0-97f3-19454c090294 · outbound

This paper cites VIKOR and its applications: A state -of-the-art s urvey.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS VIKOR and its applications: A state -of-the-art s urvey

Reference 20

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raw_fallback, observed 2026-08-07T10:34:33.442303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.452470Z digest=sha256:def74261379c70a3e5b40b8c5c1fd9433bc0b601a92dcc5d582d5304b88916a7

Observation 6edd733b-61f8-4d84-b16e-a4ccc8fc9a9a · outbound

This paper cites A hybrid group multi-criteria approach based on SAW, TOPSIS, VIKOR, and COPRAS methods for complex IoT selection problems.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS A hybrid group multi-criteria approach based on SAW, TOPSIS, VIKOR, and COPRAS methods for complex IoT selection problems

Reference 21

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raw_fallback, observed 2026-08-07T10:34:33.308034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.547645Z digest=sha256:4ae4a9c1397584fbd11d5e9e37b0e00d481d63d795d0ff10cb9a1023f693ffb0

Observation c5e48ef9-0fd1-4893-99ee-ff0ace67b630 · outbound

This paper cites Metric Impact Towards Carbon -Aware Multi -domain Network Orchestration.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Metric Impact Towards Carbon -Aware Multi -domain Network Orchestration

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.617772Z digest=sha256:6c5f1a2b2c60133bac7dd4c45e63b3c52e6bef8f0c9b5942d6c454a14fd386e8

Observation f68e587b-8b1a-4735-985a-b5ccc6aa6ff9 · outbound

This paper cites Minimizing communication traffic in data centers with power-aware VM placement.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Minimizing communication traffic in data centers with power-aware VM placement

Reference 23

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raw_fallback, observed 2026-08-07T10:34:32.946450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.658599Z digest=sha256:5b450de065b3b74f0db6526ead0bcaf7f1c782d0b9c7f31e0f88e5cf67a27f68

Observation ad4aabbe-6ebb-4d92-bf84-331c9d17ffef · outbound

This paper cites Container -based orchestration in cloud: state of the art and challenges.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Container -based orchestration in cloud: state of the art and challenges

Reference 24

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raw_fallback, observed 2026-08-07T10:34:32.795531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.725098Z digest=sha256:f1c637095b1fce02640408837dce0ce06ec5ae362b1c24e2c41b9ffa5f2e5260

Observation d6ca2218-4611-4e29-a43c-9cb2e32d7810 · outbound

This paper cites Energy aware scheduling of deadline-constrained tasks in cloud computing.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Energy aware scheduling of deadline-constrained tasks in cloud computing

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.813595Z digest=sha256:e8284c1a6e6f98726ef4b21d99921f67e8f638ec505341d1d543ebdf423849b3

Observation 904fe390-2491-4e6e-8705-612bc94a54b2 · outbound

This paper cites Gaia scheduler: A kubernete s-based scheduler framework.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Gaia scheduler: A kubernete s-based scheduler framework

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.859043Z digest=sha256:5fa215d124ea65c5c28561e3a00bb143ff8df0f1df14316ff932c705d42a35d1

Observation c630168c-0cc3-4d0a-a15f-652285fdae63 · outbound

This paper cites FaasHouse: sustainable serverless edge computing through energy -aware resource scheduling.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS FaasHouse: sustainable serverless edge computing through energy -aware resource scheduling

Reference 27

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raw_fallback, observed 2026-08-07T10:34:32.369435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.898118Z digest=sha256:d8e7803d90eca5ae078244dc32f8fc8e7607eddba30e3ecc948093a9135b4aee

Observation ddc4bf1a-13d4-4ebf-8f0c-64de187315ae · outbound

This paper cites A framework and algorithm fo r energy efficient container consolidation in cloud data centers.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS A framework and algorithm fo r energy efficient container consolidation in cloud data centers

Reference 28

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raw_fallback, observed 2026-08-07T10:34:32.224609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:28.956220Z digest=sha256:4cc82e173c944cc183a50af8db7663839cb27023854d06b4f0d23ab0af7d63da

Observation b41bbbb0-ba3c-41e6-bf59-24b2710b0d51 · outbound

This paper cites Towards end-to-end resource p rovisioning in fog computing over low power wide area networks.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Towards end-to-end resource p rovisioning in fog computing over low power wide area networks

Reference 29

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raw_fallback, observed 2026-08-07T10:34:32.088157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.057663Z digest=sha256:c363dced9c1f442c987734d96cdcfb5f485a82f2c94e89b389c3d9a28c895c5f

Observation 344bdab9-1509-467e-9118-cf46e2ece4c8 · outbound

This paper cites Carbon emission-aware job scheduling for Kubernetes deployments.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Carbon emission-aware job scheduling for Kubernetes deployments

Reference 30

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raw_fallback, observed 2026-08-07T10:34:31.839164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.157859Z digest=sha256:6d697ac7c750b5794b1830fb4260c1b85ef4fa405e5dc9389e6a24835f9418c5

Observation 73e9105b-448b-4ec0-939a-233150e249e2 · outbound

This paper cites How do ML jobs fail in datacenters? Analysis of a long -term dataset from an HPC cluster.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS How do ML jobs fail in datacenters? Analysis of a long -term dataset from an HPC cluster

Reference 31

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raw_fallback, observed 2026-08-07T10:34:31.697928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.227283Z digest=sha256:d6a833c97f9924dc5c5c56aaec513f4473ddd2d42de0fe976ad8381a8bfde46a

Observation 84159d35-e2f9-430b-a9aa-0f6b789fee2e · outbound

This paper cites Data center energy consumption modeling: A survey.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Data center energy consumption modeling: A survey

Reference 32

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raw_fallback, observed 2026-08-07T10:34:31.473889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.299193Z digest=sha256:c1034816fd2eb2bd48960e392619da958ff7c03c2b7c7138425b2e5023d57126

Observation 9f3af5b2-bd93-42ae-976d-aa2ca88cdeb0 · outbound

This paper cites an unresolved cited work.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-07T10:34:31.199583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation a46b7d58-f685-4a7d-8157-28d231b91f2d · outbound

This paper cites an unresolved cited work.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:34:30.999857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation bd340256-a671-4b3d-ad15-5d71aa8ca313 · outbound

This paper cites an unresolved cited work.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:34:30.831311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 35e84cb3-5841-4f7f-8432-87f1b1db8248 · outbound

This paper cites an unresolved cited work.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:34:30.618575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.609684Z digest=sha256:af64a1afa69744a346428d8169ae84a68bc947cc626793476ce85fee490b5064

Observation 14a74371-6aa6-47a9-b7c6-10c717e5202c · outbound

This paper cites K -Tahp: A Kubernetes Load Balancing Strategy base on TOPSIS+AHP.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS K -Tahp: A Kubernetes Load Balancing Strategy base on TOPSIS+AHP

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:30.471432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.709853Z digest=sha256:0998d42621b2dd1f15d16618add16458705635d36a7db8f376e6f490e9353c9a

Observation 1af87b00-ef5b-4e48-adb9-f84ea3dc91f2 · outbound

This paper cites Multi Criteria Based Container Management in a Geo -Distributed Cluster.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Multi Criteria Based Container Management in a Geo -Distributed Cluster

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:30.290934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:34:29.825812Z digest=sha256:f7cebbccafca0dcfb163cfd4a83ce7f41df3945a20c527b02ad88e93bca30d0b

Observation 5c01a952-2970-4a7a-98d8-208852fa55bb · outbound

This paper cites an unresolved cited work.

Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:34:30.115889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Pith citing papers

Observation 804c251f-9763-4d9c-b149-759f69921a9e · inbound

A Survey on Task Scheduling in Carbon-Aware Container Orchestration cites this paper.

A Survey on Task Scheduling in Carbon-Aware Container Orchestration Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-08-05T23:05:31.335008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-05T23:05:30.909117Z digest=sha256:4ed2a091c011f8ed9bd34b543c4f43bb0c60e2fbfda5998ac7ce110db0f83a0a