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Paper Citation Record · LEDGER

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2507.16109.

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

pith.paper-citation-record.v1
2507.16109 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:22:24.808306Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

  • verified exact9
  • verified fuzzy31
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f98c33b2-83ce-4a1d-bbc6-7cd28ce4bbb5 · outbound

This paper cites Network-aware container placement in cloud-edge kubernetes clusters,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Network-aware container placement in cloud-edge kubernetes clusters,

Reference 1

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Observation a467716a-a8fc-40a5-b2bc-25b1799cfc03 · outbound

This paper cites Load-balancing of kubernetes- based edge computing infrastructure using resource adaptive proxy,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Load-balancing of kubernetes- based edge computing infrastructure using resource adaptive proxy,

Reference 2

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:19.774562Z digest=sha256:99f256f4327e1b9e9a4d3a66f5b79b309e8e8f2d2e4723e7cd4c576d04565cd0

Observation c51b2ffc-363a-4d65-9f94-b3435f2f5ab4 · outbound

This paper cites Cncf annual survey 2021,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Cncf annual survey 2021,

Reference 3

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source=pdf_text observed=2026-08-06T15:22:19.908677Z digest=sha256:915796284b12ce87a399c7f02f200568572a9f4a3016a03971a461ffebcde59b

Observation 012db3ba-f272-40b6-aa43-ca0ca965b9ce · outbound

This paper cites Deep reinforcement learning- based scheduling for optimizing system load in fog computing,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Deep reinforcement learning- based scheduling for optimizing system load in fog computing,

Reference 4

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:20.054051Z digest=sha256:fbfb287b2e7d0cd000af8f0c234095f8fa3f50f816424a05ec7c136e3346da34

Observation cdc46e25-fcbd-4961-b2fc-85c37a5cbe61 · outbound

This paper cites Boosting microservice re- silience: An evaluation of istio’s impact on kubernetes clusters under chaos,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Boosting microservice re- silience: An evaluation of istio’s impact on kubernetes clusters under chaos,

Reference 6

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source=pdf_text observed=2026-08-06T15:22:20.363218Z digest=sha256:7819ca46baa7f02cefc45755c432bab22d705eef6a3764b6979887a702538f86

Observation 39f42d66-8f6e-4d37-a869-356032d236db · outbound

This paper cites Impacttracer: Root cause local- ization in microservices based on fault propagation modeling,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Impacttracer: Root cause local- ization in microservices based on fault propagation modeling,

Reference 7

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source=pdf_text observed=2026-08-06T15:22:20.465146Z digest=sha256:35b73609579971f3183f01d10436720d4ad0be36196111d09ca313716bcae2ed

Observation f1d5623c-55ad-4b00-b1a5-b0b3615a4579 · outbound

This paper cites Mutiny! how does kubernetes fail, and what can we do about it?.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Mutiny! how does kubernetes fail, and what can we do about it?

Reference 8

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source=pdf_text observed=2026-08-06T15:22:20.536717Z digest=sha256:ac64aa5d20102f8ba1e1b85dad6e8ef2434437fce35bf8a4671e25fd9a6d43f1

Observation 9e5e787d-da16-486b-b9c6-505f76d15e1e · outbound

This paper cites Reliability evaluation of microservices and monolithic architectures,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Reliability evaluation of microservices and monolithic architectures,

Reference 9

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source=pdf_text observed=2026-08-06T15:22:20.610630Z digest=sha256:95511a84ea9969483b2511360a44a7dabf42c9fbe34d9fde7955d71b1375430e

Observation b6257347-d711-4fe6-b85d-51d485386c88 · outbound

This paper cites The role of microservice approach in edge computing: Opportunities, challenges, and research directions,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection The role of microservice approach in edge computing: Opportunities, challenges, and research directions,

Reference 10

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source=pdf_text observed=2026-08-06T15:22:20.697517Z digest=sha256:ff27419cebe8dbf3969d06889f4136e63a7e357ddb6ce5f6eb28e19826a28a8d

Observation defc0abc-2246-4cf0-8d54-f2b2eb0616f4 · outbound

This paper cites The emergence of edge computing,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection The emergence of edge computing,

Reference 11

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source=pdf_text observed=2026-08-06T15:22:20.758408Z digest=sha256:433f1da6e1434113f4b70f6a0612bd6fe20a5bb3a49ada031b96421bfb088d04

Observation 1bbf6b02-7e9f-40ec-ab95-1cfe36f67c4e · outbound

This paper cites An overview on edge computing research,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection An overview on edge computing research,

Reference 12

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source=pdf_text observed=2026-08-06T15:22:20.831424Z digest=sha256:664a140461f2fb6375c32e0544a73124790a94ac257b949ee156508fdf67b070

Observation ebd16735-8dc2-4fd4-94aa-f27f7ec4498d · outbound

This paper cites Edge computing: Vision and challenges,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Edge computing: Vision and challenges,

Reference 13

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source=pdf_text observed=2026-08-06T15:22:20.987148Z digest=sha256:b053cdcebbbcbf3e0ecc73e5a45e73951f661e03b8dc010d4d1e86969162384a

Observation 2c7ee6f7-b845-4c1b-80ec-0635b72fd570 · outbound

This paper cites FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing

Reference 14

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source=pdf_text observed=2026-08-06T15:22:21.063672Z digest=sha256:37b5aab56e5c80b428c227e6086dbe7714b309e7917e9e0fec531e7090ba5e3d

Observation 9d1bb0ac-6197-4ae3-9404-ff4fac0057cd · outbound

This paper cites Resource management in mobile edge computing: A comprehensive survey,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Resource management in mobile edge computing: A comprehensive survey,

Reference 15

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:21.137977Z digest=sha256:206eaf0b2dd3bf2c9044e135f60012dbfb179241f31700bac24200b85916ac94

Observation 9f6fe4be-7f8e-43ad-ad5b-9569b95d1fe7 · outbound

This paper cites An empirical study on edge-to-cloud continuum for smart applications: Performance, design patterns, and key factors,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection An empirical study on edge-to-cloud continuum for smart applications: Performance, design patterns, and key factors,

Reference 16

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:21.228120Z digest=sha256:9e46096ff23b8c513df923cefe7da476357a18681b75dccbbef8583e0f34fbc1

Observation 54af3d47-0d88-4f45-ab51-732fd629827d · outbound

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

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Kubernetes scheduling: Taxonomy, ongoing issues and challenges,

Reference 17

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source=pdf_text observed=2026-08-06T15:22:21.337076Z digest=sha256:9632ef0428ff128184b4021c43e4bd13b260dbb31accd6450f7f177aa02b3d71

Observation ce3a9e0c-3838-4142-b052-7ae1675db3f4 · outbound

This paper cites Csfrl: A reinforcement learning technology enabled computing power scheduling framework based on kubernetes,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Csfrl: A reinforcement learning technology enabled computing power scheduling framework based on kubernetes,

Reference 18

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source=pdf_text observed=2026-08-06T15:22:21.451184Z digest=sha256:91e18ae9f9e44a1158e3534013c4dc308930101b120001f6529ea22f283fdd14

Observation 2f738bce-ec44-40d5-8c13-350d51ed270b · outbound

This paper cites K8ssim: A simulation tool for kubernetes schedulers and its applications in scheduling algorithm optimization,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection K8ssim: A simulation tool for kubernetes schedulers and its applications in scheduling algorithm optimization,

Reference 19

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source=pdf_text observed=2026-08-06T15:22:21.549732Z digest=sha256:0dd30fcf0f7ee290330c751a047dbbcace4e68ce49646465a3e0b46b45162cdf

Observation 18af7859-5378-493b-b9d7-f56e8b88d444 · outbound

This paper cites Resource Management in Edge and Fog Computing using FogBus2 Framework.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Resource Management in Edge and Fog Computing using FogBus2 Framework

Reference 20

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local_arxiv, observed 2026-08-06T15:22:26.277007Z

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source=pdf_text observed=2026-08-06T15:22:21.664928Z digest=sha256:2548160e7779c5d1dd13fcc464d76bdfa161a48fc68c1f21fc2104cc18057698

Observation 2833cfcc-9782-47c0-9fd1-cc9c10c81087 · outbound

This paper cites TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments

Reference 21

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source=pdf_text observed=2026-08-06T15:22:21.816145Z digest=sha256:6a5b292e6c7eeeae35644fb9696298265082f29f5e06fb49aa7e131604a22191

Observation 098a57e4-46ad-4742-9eff-9480285679dc · outbound

This paper cites Root cause analysis for microservices based on causal inference: How far are we?.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Root cause analysis for microservices based on causal inference: How far are we?

Reference 22

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source=pdf_text observed=2026-08-06T15:22:22.077428Z digest=sha256:e2022244070f039aae5249770c759693ae9eacca31e706a9416f442fcd144263

Observation b88ff902-f515-4d62-a88d-ec00c9632507 · outbound

This paper cites Gremlin: Systematic resilience testing of microservices,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Gremlin: Systematic resilience testing of microservices,

Reference 23

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source=pdf_text observed=2026-08-06T15:22:22.198885Z digest=sha256:e0564a8f229d8e9490069b50b9cc2ee96f9dc95c8ade21f1db3756c966ebcfe7

Observation 54c99362-61ea-4e52-85ca-e9e04a9f2524 · outbound

This paper cites {\mu}-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection {\mu}-DDRL: A QoS-Aware Distributed Deep Reinforcement Learning Technique for Service Offloading in Fog computing Environments

Reference 24

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source=pdf_text observed=2026-08-06T15:22:22.275091Z digest=sha256:513ecb5790f2778e922ef4dc0737b8cfd47663643f6365cc1c93199ef614aa28

Observation 569f5532-c3f9-4797-9f2f-f6ba197b8a26 · outbound

This paper cites Architectural resilience in cloud, fog and edge systems: A survey,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Architectural resilience in cloud, fog and edge systems: A survey,

Reference 25

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source=pdf_text observed=2026-08-06T15:22:22.381301Z digest=sha256:bd019261e22706bd0c1eb98a55e67decfbc330a0ecfc1f8f13c0188b7db2a05d

Observation 1810acf9-61d4-466a-8d7d-37caf4996d15 · outbound

This paper cites ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection ReinFog: A Deep Reinforcement Learning Empowered Framework for Resource Management in Edge and Cloud Computing Environments

Reference 26

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source=pdf_text observed=2026-08-06T15:22:22.430691Z digest=sha256:3484351eb2d07ee5be9487e94487ef580e8b522fec76ab515c69399e569a8cc3

Observation f62601d4-10ef-44a0-8c68-535ae664ddc4 · outbound

This paper cites A study on the aging and fault tolerance of microservices in kubernetes,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection A study on the aging and fault tolerance of microservices in kubernetes,

Reference 27

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source=pdf_text observed=2026-08-06T15:22:22.541350Z digest=sha256:6258f3e873288702721163e143d029a0cad92ce33072eff0f79744426d312879

Observation 2ac20a03-f6ce-438d-b626-2a9925681736 · outbound

This paper cites Chaos engineering,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos engineering,

Reference 28

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source=pdf_text observed=2026-08-06T15:22:22.605063Z digest=sha256:3e8a81dea634c1ecb42ba695298a3aab6d69de04e9f58cd64613e101f60353ac

Observation a5e51e44-7a93-42c4-a044-47967ce6567c · outbound

This paper cites Cloud failure prediction based on traditional machine learning and deep learning,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Cloud failure prediction based on traditional machine learning and deep learning,

Reference 29

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doi, observed 2026-08-06T15:22:25.622932Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:22.690091Z digest=sha256:4f065c5eb881e186fc1ec21458d3d59ae3c989dde51779707dcb2a04def50063

Observation 1344a976-aab4-4156-a9ce-e60c13bacf5c · outbound

This paper cites Resilience in edge computing: Challenges and concepts,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Resilience in edge computing: Challenges and concepts,

Reference 30

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source=pdf_text observed=2026-08-06T15:22:22.779351Z digest=sha256:ad71dcfe6d51915c945d6352f407006ee64af56f6dae626f575184c0444f1a60

Observation f5e511db-d695-4dba-a107-8e0efa85c374 · outbound

This paper cites Orcas: Efficient resilience benchmarking of microservice architectures,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Orcas: Efficient resilience benchmarking of microservice architectures,

Reference 31

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source=pdf_text observed=2026-08-06T15:22:22.851793Z digest=sha256:f771a36a130e3696fd8e36122dc34eeb36accc69c031a6182c957602729b4a23

Observation 31cd293e-1c96-4f77-bc93-4ad8ff6e9722 · outbound

This paper cites The netflix simian army,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection The netflix simian army,

Reference 32

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:22.919282Z digest=sha256:adbfd07dde8254e7fb998877ce91833e9305e8e00bb1d29c4d00134144070e84

Observation 3533d79f-a421-492d-815a-4245b35df420 · outbound

This paper cites Service-level fault injection testing,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Service-level fault injection testing,

Reference 33

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source=pdf_text observed=2026-08-06T15:22:22.993500Z digest=sha256:9e0981d990d68c75872c4d9ad52f850b8522c8708c1de3abe90cac4617df0461

Observation 843457ef-3d4b-4996-9368-213f9013017d · outbound

This paper cites Can my microservice tolerate an unreliable database? resilience testing with fault injection and visualization,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Can my microservice tolerate an unreliable database? resilience testing with fault injection and visualization,

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.042025Z digest=sha256:a5cf4c3d0582edc2c82d45020d4cd00dfebac176c2ff7b3375a69a72eb155f28

Observation 9f42d0a6-1a66-42e3-b756-a76c0473665c · outbound

This paper cites Microfi: Non-intrusive and prioritized request-level fault injection for microservice applications,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Microfi: Non-intrusive and prioritized request-level fault injection for microservice applications,

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:23.148698Z digest=sha256:fdea612616e0d1bdffac211c4a794ab0d9f8ee03a178f9e63e10dd301b6d0be1

Observation bbb5c1ff-ae23-486a-80a4-b0733cffedd9 · outbound

This paper cites Microres: Versatile resilience profiling in microservices via degradation dissemination indexing,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Microres: Versatile resilience profiling in microservices via degradation dissemination indexing,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:23.229282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:23.229282Z digest=sha256:01d592b8b41f4c88307c39c769df376144c6eb19f3e55150e7c2b3a4881e40d2

Observation 52ff0faa-aa7c-47ec-9c09-78f35a52c6e3 · outbound

This paper cites Towards a fault taxonomy for microservices-based applications,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Towards a fault taxonomy for microservices-based applications,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:23.337496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:23.337496Z digest=sha256:c05547e2a4bb4931bff700e4801008219c685f533dd7b48e63b29ab00c387b79

Observation d9c09d09-aa58-4a6b-8e4b-71e7f6fd5920 · outbound

This paper cites Chaos mesh – open source chaos engineering platform for kubernetes,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos mesh – open source chaos engineering platform for kubernetes,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:29.641549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.398439Z digest=sha256:cb54e12ae233cf3fda2baf710f6f5b0a52f0041c4ba1ee555b8ab29db407a43b

Observation da755c70-9ea7-428c-b6ea-e83a861a26da · outbound

This paper cites Litmuschaos – open source cloud-native chaos engineering platform,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Litmuschaos – open source cloud-native chaos engineering platform,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:29.511981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.500238Z digest=sha256:305ad3ab5672622c7742b193627baa585f248cfd2c2bc4600b66da190ec970fd

Observation 7e253c51-0cca-4044-83cf-9680fbd715be · outbound

This paper cites Chaosblade: An open source chaos engineering tool,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaosblade: An open source chaos engineering tool,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:29.340438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.572052Z digest=sha256:f2ec24b4fdc5c97ec60956f4dfbec3b6253b2e1eb286a883bf9756e4b6862111

Observation 7cf6e055-abde-4a11-b1aa-be97af4498f2 · outbound

This paper cites Chaos toolkit: Chaos engineering for every- one,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos toolkit: Chaos engineering for every- one,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:29.212336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.680152Z digest=sha256:7d94b73e32c3cf2e070fb41d0ecc3a21164a54c8417b1b1a28df16a080b43e0d

Observation a750a6e2-d1e7-4c25-a7a0-faa819827c16 · outbound

This paper cites Powerfulseal: A tool for test- ing kubernetes resilience,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Powerfulseal: A tool for test- ing kubernetes resilience,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:29.089470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.771187Z digest=sha256:c2d0fdca9b264c3238145e33edf9b6329f3eff79b387c8d2a565b816ef7c5980

Observation f80945fd-8f11-4ca5-945c-7e1432778a0f · outbound

This paper cites chaoskube: Chaos engineering for kubernetes by ran- dom pod deletion,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection chaoskube: Chaos engineering for kubernetes by ran- dom pod deletion,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.919040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.855558Z digest=sha256:2ea9a578f3d08020b460e70645dbc551ee5adc73bcc7c1c97d906625f4813d7c

Observation cd11094c-2cd2-413b-a779-71a5d2e8e7a4 · outbound

This paper cites A fault injection platform for learning aiops models,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection A fault injection platform for learning aiops models,

Reference 44

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:22:27.349182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.898430Z digest=sha256:e4bc38b780f5c20d1a0bcd26a0aafa2602043e3f56cc19699b3477e5fb56652c

Observation 7573b254-8852-4dc5-9a4b-3f76cdf48aa3 · outbound

This paper cites Iotrepair: Flexible fault handling in diverse iot deployments,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Iotrepair: Flexible fault handling in diverse iot deployments,

Reference 45

Resolution
verified exact
doi, observed 2026-08-06T15:22:25.257830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:23.970781Z digest=sha256:9fd438b066b066859e904ff849fe1c1d8261ce7c39d7ae85d16c043c98d393d5

Observation e370fef8-a431-40af-b13d-32eb374c867e · outbound

This paper cites A study on chaos engineering for improving cloud software quality and reliability,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection A study on chaos engineering for improving cloud software quality and reliability,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.799561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.034810Z digest=sha256:acb42206740d174d16e1f24b9a4b15d45742e17664e37455ce78a45a5fec1881

Observation cc310e16-715b-4dcd-b49f-83ce793b6418 · outbound

This paper cites Chaos Engineering in the Wild: Findings from GitHub.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos Engineering in the Wild: Findings from GitHub

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:24.099058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:24.099058Z digest=sha256:e37788fae81cc29cedae1434aead0b58565e043715bd6e4036ca1b0890293fd7

Observation 9dbacbd6-e421-4cc6-bd7f-026bf50293c4 · outbound

This paper cites Chaos engineering in cloud-native applications: A resilience-driven approach to modern software systems,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos engineering in cloud-native applications: A resilience-driven approach to modern software systems,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.634062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.189782Z digest=sha256:0d18f7de6b7507135164eac9ef109ddd82780eae93d7c970ebf2f5c1f3ab771c

Observation fb635282-7ab3-4315-923f-f4b7a6de640d · outbound

This paper cites Swarm storm: An automated chaos tool for docker swarm applications,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Swarm storm: An automated chaos tool for docker swarm applications,

Reference 49

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:22:27.135286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.256654Z digest=sha256:a73ea123afda76b95f1c389bf52a926dedd9bf4624907dc111ca8826dd2bb1f8

Observation 64c09ff5-8913-4686-bc24-d7aa93bcee44 · outbound

This paper cites Chaos engineering: A multi-vocal literature review,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos engineering: A multi-vocal literature review,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.498139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.308222Z digest=sha256:da04b98fa0d3fb0fab90683195d67317df8f17b7cabd994222281388c2f0ea7b

Observation ace11e71-e8ea-44bf-87f7-4aa96a006e46 · outbound

This paper cites Continuous Observability Assurance in Cloud-Native Applications.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Continuous Observability Assurance in Cloud-Native Applications

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:22:25.020616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.507549Z digest=sha256:5b8c9da45796b0930249f08c6e151be8639d9fa7f8cd6ff201dfbd40852c3afb

Observation ac7514ec-28b3-4956-94de-a36c68a61b67 · outbound

This paper cites Chaos Engineering: A Multi-Vocal Literature Review.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Chaos Engineering: A Multi-Vocal Literature Review

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:24.403112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:24.403112Z digest=sha256:c077ea2fd276037cf2fd3a2edbfa9dfe8171a9a12755914bf7000d74a269a29c

Observation 38d3b8f5-7d66-4798-a27c-45031a1b152c · outbound

This paper cites Fogbus2: a lightweight and distributed container-based framework for integration of iot- enabled systems with edge and cloud computing,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Fogbus2: a lightweight and distributed container-based framework for integration of iot- enabled systems with edge and cloud computing,

Reference 53

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T15:22:26.903082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.682085Z digest=sha256:d816517c04238ec5d60dbd9588f8cf7af0f93f37ed1c0aab8d01dad82d4267ed

Observation d5195b9f-647f-4a19-a3fa-b2dbb356c13a · outbound

This paper cites A review of resilience testing in microservices architectures: Implementing chaos engineering for fault tolerance and system reliability,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection A review of resilience testing in microservices architectures: Implementing chaos engineering for fault tolerance and system reliability,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.362456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.602828Z digest=sha256:4e9df9ce4a4c0a326be0f3ce5b07f2ef9855e4988b14fed7258de79dcc9f6c38

Observation b5038bd9-e5a7-4e35-b36c-f8299c45fdb8 · outbound

This paper cites Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Investigating the impact of data normalization methods on predicting electricity consumption in a building using different artificial neural network models,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.083337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.808306Z digest=sha256:6cb69516fbf3e916c892636cd24a0c8f878148422f6e5e444078d65fa20a79f6

Observation aece9f55-e890-48cb-b0b2-7b0b20c6246e · outbound

This paper cites Sock shop demo - a microservice-based e- commerce demo for kubernetes,.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection Sock shop demo - a microservice-based e- commerce demo for kubernetes,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:28.234435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:24.749693Z digest=sha256:db8e660e2c94f3598c3c5e713e5fffb62d1965918fc34df81d9cc8783715f34d

Observation a192e725-6e51-4712-9382-c9e037bf23cc · outbound

This paper cites TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments.

Resilience Evaluation of Kubernetes in Cloud-Edge Environments via Failure Injection TF-DDRL: A Transformer-enhanced Distributed DRL Technique for Scheduling IoT Applications in Edge and Cloud Computing Environments

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:22:26.121513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T15:22:21.952246Z digest=sha256:0b9bc1187408148634aa0d61e83b1fcb2dc20e8c532271ebcd01fc65bd9cc81d

Pith citing papers

No inbound Pith citation observations are available.