Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum | Paper Citation Record

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This paper cites A., Carey, M.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A., Carey, M

Reference 1

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Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 2

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This paper cites K., and Butt, A.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum K., and Butt, A

Reference 3

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This paper cites M., Kriegel, H.-P., and Sander, J.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum M., Kriegel, H.-P., and Sander, J

Reference 4

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Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 5

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Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 6

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This paper cites M., Gebru, T., McMillan-Major, A., and Shmitchell, S.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum M., Gebru, T., McMillan-Major, A., and Shmitchell, S

Reference 7

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This paper cites L., Wang, C., and Youssef, A.{AI4DL}: Mining behaviors of deep learning workloads for resource management.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum L., Wang, C., and Youssef, A.{AI4DL}: Mining behaviors of deep learning workloads for resource management

Reference 8

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This paper cites C., Massari, L., and Tessera, D.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum C., Massari, L., and Tessera, D

Reference 9

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This paper cites J., Moulavi, D., and Sander, J.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum J., Moulavi, D., and Sander, J

Reference 10

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This paper cites In 2023 18th Annual System of Systems Engineering Conference (SOSE), (to appear) (2023).

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 2023 18th Annual System of Systems Engineering Conference (SOSE), (to appear) (2023)

Reference 11

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This paper cites an unresolved cited work.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 12

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This paper cites Analysis and characterization of performance variability for openmp runtime.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Analysis and characterization of performance variability for openmp runtime

Reference 13

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This paper cites Kairos: Preemptive data center scheduling without runtime estimates.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Kairos: Preemptive data center scheduling without runtime estimates

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.972052Z

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This paper cites Achieving horizontal scalability in density-based clustering for urls.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Achieving horizontal scalability in density-based clustering for urls

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.958301Z

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This paper cites D., Bodik, P., Kandula, S., Boutin, E., and Fonseca, R.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum D., Bodik, P., Kandula, S., Boutin, E., and Fonseca, R

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.946516Z

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This paper cites Y., Gao, Y., Golikov, P., and Pekhimenko, G.Habitat: A{Runtime-Based} computational performance predictor for deep neural network training.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Y., Gao, Y., Golikov, P., and Pekhimenko, G.Habitat: A{Runtime-Based} computational performance predictor for deep neural network training

Reference 17

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This paper cites P., Li, M., Zhang, L., and Ardagna, D.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum P., Li, M., Zhang, L., and Ardagna, D

Reference 18

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This paper cites A profile based network intrusion detection and prevention system for securing cloud environment.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A profile based network intrusion detection and prevention system for securing cloud environment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.905308Z

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This paper cites On cloud-based oversubscription.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum On cloud-based oversubscription

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.891988Z

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This paper cites In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2021), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (2021), pp

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.878973Z

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This paper cites Detecting layered bottlenecks in microservices.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Detecting layered bottlenecks in microservices

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.863965Z

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This paper cites C., Lin, X., and Deng, N.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum C., Lin, X., and Deng, N

Reference 23

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This paper cites Network-aware scheduling for data-parallel jobs: Plan when you can.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Network-aware scheduling for data-parallel jobs: Plan when you can

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.830782Z

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Observation a3adb972-538f-45d2-b654-5be5a0b1990c · outbound

This paper cites Determining the optimal number of clusters using silhouette score as a data mining technique.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Determining the optimal number of clusters using silhouette score as a data mining technique

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.818115Z

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This paper cites A., Curino, C., Menache, I., Narayanamurthy, S.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A., Curino, C., Menache, I., Narayanamurthy, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.806259Z

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This paper cites M., Heddaya, S., Ramakrishnan, R., and Sakalanaga, S.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum M., Heddaya, S., Ramakrishnan, R., and Sakalanaga, S

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.793041Z

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This paper cites K., and Simha, A.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum K., and Simha, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.780172Z

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This paper cites A study of contributing factors to power aware vertical scaling of deadline constrained applications.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A study of contributing factors to power aware vertical scaling of deadline constrained applications

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.767453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Weblens: Towards interactive large-scale structured data profiling.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Weblens: Towards interactive large-scale structured data profiling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.755206Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites Workload forecasting and energy state estimation in cloud data centres: Ml-centric approach.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Workload forecasting and energy state estimation in cloud data centres: Ml-centric approach

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.743649Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites In 20th USENIX Conference on File and Storage Technologies (FAST 22) (2022), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 20th USENIX Conference on File and Storage Technologies (FAST 22) (2022), pp

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.730791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8e282fc2-0385-42c5-97ef-7eb391aec34f · outbound

This paper cites Time series predictions for cloud workloads: A comprehensive evaluation.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Time series predictions for cloud workloads: A comprehensive evaluation

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.718212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d38feecc-5cff-4883-9398-f09953e12052 · outbound

This paper cites Aryl: An Elastic Cluster Scheduler for Deep Learning.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Aryl: An Elastic Cluster Scheduler for Deep Learning

Reference 34

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T05:27:00.235520Z

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Observation 847acdac-3f76-4689-90a6-dda93a8c0217 · outbound

This paper cites D., Alistarh, D., and Hoefler, T.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum D., Alistarh, D., and Hoefler, T

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.704651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19d69343-b57b-4184-b5b1-f5965eff9ad0 · outbound

This paper cites M., Erion, G., Chen, H., DeGrave, A., Prutkin, J.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum M., Erion, G., Chen, H., DeGrave, A., Prutkin, J

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.691034Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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This paper cites M., and Lee, S.-I.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum M., and Lee, S.-I

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.677370Z

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This paper cites Themis: Fair and efficient {GPU} cluster scheduling.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Themis: Fair and efficient {GPU} cluster scheduling

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.664160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7071544a-5873-4b0e-9ca4-a6d68577c938 · outbound

This paper cites Optimizing cloud function configuration via local simulations.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Optimizing cloud function configuration via local simulations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.650452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f767ff3-7406-4210-a3b7-0e375d74072c · outbound

This paper cites A hybrid score to optimize clustering hyperparameters for online search term data.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A hybrid score to optimize clustering hyperparameters for online search term data

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.637526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b45ba71-c946-4eeb-9d6f-515639a57492 · outbound

This paper cites Accelerated hierarchical density based clustering.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Accelerated hierarchical density based clustering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.624730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ce4d4c3-9165-473c-be24-4448c1ab4484 · outbound

This paper cites Flexllm: A system for co-serving large language model inference and parameter- efficient finetuning.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Flexllm: A system for co-serving large language model inference and parameter- efficient finetuning

Reference 42

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Source-reported events for the cited work

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Observation de8b3a73-fd4f-4c10-8b06-b5ee58402e38 · outbound

This paper cites Lenta: Longitudinal exploration for network traffic analysis from passive data.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Lenta: Longitudinal exploration for network traffic analysis from passive data

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.612793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 580e3af6-ede8-4c4b-b9f6-746245a4a6f8 · outbound

This paper cites an unresolved cited work.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:27:00.600394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 963fb4f2-1c3b-42de-a251-b0947ec0ef90 · outbound

This paper cites C., Raith, P., Xiong, Y., Nastic, S., Dustdar, S., and Zhang, Z.Demystifying deep learning in predictive monitoring for cloud-native slos.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum C., Raith, P., Xiong, Y., Nastic, S., Dustdar, S., and Zhang, Z.Demystifying deep learning in predictive monitoring for cloud-native slos

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.586089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5c785a8-32f1-4b2a-b87f-3800b2edb72b · outbound

This paper cites In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) (2020), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 14th USENIX Symposium on Operating Systems Design and Implementation (OSDI 20) (2020), pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.571900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ccea2273-188d-44af-b80e-0e32e8c6d370 · outbound

This paper cites In4th IEEE International Conference on Cognitive Machine Intelligence (CogMi) (2022).

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In4th IEEE International Conference on Cognitive Machine Intelligence (CogMi) (2022)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.559312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eac6738b-9953-480e-b54d-961cb50a45aa · outbound

This paper cites Sloc: Service level objectives for next generation cloud computing.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Sloc: Service level objectives for next generation cloud computing

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.546235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2764dbb-be5a-4817-9b6b-d78e6ac81174 · outbound

This paper cites C., Dustdar, S., Vij, D., and Xiong, Y.Polaris scheduler: Edge sensitive and slo aware workload scheduling in cloud-edge-iot clusters.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum C., Dustdar, S., Vij, D., and Xiong, Y.Polaris scheduler: Edge sensitive and slo aware workload scheduling in cloud-edge-iot clusters

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.534392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae30e56c-8f6b-4bfd-8065-369dd77a8cea · outbound

This paper cites Sparse autoencoder.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Sparse autoencoder

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.522745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 14cc6d72-3a67-417c-a6f2-fb50893a1e05 · outbound

This paper cites an unresolved cited work.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:27:00.509255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c3c915e-e45d-4ea9-8336-6adf7a64db87 · outbound

This paper cites In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22) (2022), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 19th USENIX Symposium on Networked Systems Design and Implementation (NSDI 22) (2022), pp

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.496711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a54bd7b8-7fb5-473b-852b-1ff543a09f53 · outbound

This paper cites {DeepSketch}: A new machine {Learning-Based} reference search technique for {Post- Deduplication} delta compression.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum {DeepSketch}: A new machine {Learning-Based} reference search technique for {Post- Deduplication} delta compression

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.484948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 127c5397-227e-4b91-90ad-77e78786f295 · outbound

This paper cites W., Tumanov, A., Jiang, A., Kozuch, M.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum W., Tumanov, A., Jiang, A., Kozuch, M

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.473662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d71596f3-8c1e-4be0-8429-0c23b45462be · outbound

This paper cites In IEEE 14th International Conference on Cloud Computing (CLOUD) (2021).

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In IEEE 14th International Conference on Cloud Computing (CLOUD) (2021)

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.462644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d67e7559-43f9-4256-8315-51d9c905cd71 · outbound

This paper cites Serverless edge computing—where we are and what lies ahead.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Serverless edge computing—where we are and what lies ahead

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.451990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d3b9ad16-b897-4b3f-bb3e-4eec6449c174 · outbound

This paper cites In 2021 IEEE 14th International Conference On Cloud Computing (CLOUD) (2021), IEEE, pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 2021 IEEE 14th International Conference On Cloud Computing (CLOUD) (2021), IEEE, pp

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.438586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b7edad50-dd45-4f43-8f04-5350ee7fed6b · outbound

This paper cites A Tale of Two Scales: Reconciling Horizontal and Vertical Scaling for Inference Serving Systems.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum A Tale of Two Scales: Reconciling Horizontal and Vertical Scaling for Inference Serving Systems

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:00.018610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80b0be73-9f34-4db8-aa3f-4ee62992721c · outbound

This paper cites J., and Kozyrakis, C.{INFaaS}: Automated model-less inference serving.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum J., and Kozyrakis, C.{INFaaS}: Automated model-less inference serving

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.426353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67f45367-45f9-40f2-ad56-4bc11bf14a0a · outbound

This paper cites an unresolved cited work.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:27:00.414356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b5482668-1f85-43e8-a871-876cfc1cab86 · outbound

This paper cites In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (2022), IEEE, pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 2022 IEEE 15th International Conference on Cloud Computing (CLOUD) (2022), IEEE, pp

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.403430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78664ba4-45a9-4dd5-a63f-0d32b07d6fca · outbound

This paper cites F., Beskales, G., Cherniack, M., Zdonik, S.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum F., Beskales, G., Cherniack, M., Zdonik, S

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.391950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9baf9a9f-8cb2-42a3-a2c0-4befb2aafdcd · outbound

This paper cites J., and Zhang, B.Automatic database management system tuning through large-scale machine learning.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum J., and Zhang, B.Automatic database management system tuning through large-scale machine learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.381568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 71e30cac-58c5-44bc-a97c-e53f8c1af9b9 · outbound

This paper cites Revisiting Silhouette Aggregation.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Revisiting Silhouette Aggregation

Reference 64

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T05:27:00.142260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e751b513-62a1-4e3a-b397-95a6f905379b · outbound

This paper cites an unresolved cited work.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-16T05:27:00.370378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed79a38-2b90-4724-89ca-ebcba609242d · outbound

This paper cites Large-scale cluster management at google with borg.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Large-scale cluster management at google with borg

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.359274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d9da2ab-6e18-40a6-9226-8d9d0f447247 · outbound

This paper cites Are machine learning cloud apis used correctly? In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) (2021), IEEE, pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Are machine learning cloud apis used correctly? In 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE) (2021), IEEE, pp

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.348383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ed792d2-afc5-4443-a84c-16f02b489dac · outbound

This paper cites In 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 9th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.335248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d2b2caf-debe-4b94-82f5-49c4f117478d · outbound

This paper cites In 2019 IEEE international symposium on workload characterization (IISWC) (2019), IEEE, pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 2019 IEEE international symposium on workload characterization (IISWC) (2019), IEEE, pp

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.321813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e39a09c-6c19-4e80-b15f-8001c28e7923 · outbound

This paper cites In 19th{USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 22) (2022).

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 19th{USENIX} Symposium on Networked Systems Design and Implementation ({NSDI} 22) (2022)

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.309685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50c875d8-9b69-4766-93f1-3022f2706c47 · outbound

This paper cites In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) (2018), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 18) (2018), pp

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.297136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07b97e69-8519-4b4d-bca7-5160e97989a4 · outbound

This paper cites Extend cloud to edge with kubeedge.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Extend cloud to edge with kubeedge

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.285537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d1f1731b-8085-4e88-ace9-17534fbbf4fe · outbound

This paper cites In Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (2022), pp.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum In Proceedings of the 18th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (2022), pp

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.274139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 362bcea9-9bfb-4500-acd9-1b97eb72abd8 · outbound

This paper cites Towards{GPU} utilization prediction for cloud deep learning.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Towards{GPU} utilization prediction for cloud deep learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.261827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 23664bcd-a62f-4ee3-9dba-325672995fb4 · outbound

This paper cites Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T05:27:00.089368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24586acc-3f26-4c2e-a960-26c6539bff76 · outbound

This paper cites F., Boutaba, R., and Hellerstein, J.

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum F., Boutaba, R., and Hellerstein, J

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:27:00.249654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers