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- 01HS8K26W35YGRC77N982HVHBQ classification P1.
- 01HS8K26W35YGRC77N982HVHBQ date "2023".
- 01HS8K26W35YGRC77N982HVHBQ language "eng".
- 01HS8K26W35YGRC77N982HVHBQ type conference.
- 01HS8K26W35YGRC77N982HVHBQ hasPart 01HS8K546V083NQYARKVPYBXVT.pdf.
- 01HS8K26W35YGRC77N982HVHBQ subject "Technology and Engineering".
- 01HS8K26W35YGRC77N982HVHBQ doi "10.23919/CNSM59352.2023.10327839".
- 01HS8K26W35YGRC77N982HVHBQ isbn "9783903176591".
- 01HS8K26W35YGRC77N982HVHBQ issn "2165-9605".
- 01HS8K26W35YGRC77N982HVHBQ presentedAt urn:uuid:4738709e-17a3-454c-8482-2ad07cf80da8.
- 01HS8K26W35YGRC77N982HVHBQ abstract "Fog computing is emerging as geo-distributed and connected edge-to-cloud ecosystems, spanning multiple domains operated by different entities. Consequently, fog-compatible applications need to support distributed operations and decentralized management. This promoted the adoption of the microservices architecture, to facilitate application modularity and autonomy. Transitioning to fog-native applications, i.e., running distributed microservice workflows over multiple domains, is a challenging endeavor. On one hand, distributing workflows require awareness of the intents and dependencies of microservices, as this may impact the supply of data and the perceived Quality of Service (QoS). On the other hand, the variant capacities and energy supply, coupled with limited information-sharing across fog autonomies, hinders the prospect of end-to-end optimization. To tackle such problems, we propose a novel federate optimisation algorithm for multi-domain scheduling of fog-native microservice workflows. The algorithm incorporates workflow intents in decision-making by combining Bender's decomposition with Alternating Direction Method of Multipliers (ADMM) to provide optimized workflow placement, mapping, routing and admission. The performance of the algorithm is evaluated analytically and compared to state-of-the-art intent-based ADMM (iADMM). The results show performance trade-offs with the proposed iBADMM (direct), with the latter improving the fraction of workflow greenness by approximate to 15%.".
- 01HS8K26W35YGRC77N982HVHBQ author F62C7032-F0ED-11E1-A9DE-61C894A0A6B4.
- 01HS8K26W35YGRC77N982HVHBQ author urn:uuid:0605f77a-fe86-4904-beab-db8a4e024a52.
- 01HS8K26W35YGRC77N982HVHBQ author urn:uuid:0f40aca9-2c5a-4e7c-861e-64d1bf75a8ef.
- 01HS8K26W35YGRC77N982HVHBQ author urn:uuid:aed35982-c757-4ee3-98ac-8f14200dc72c.
- 01HS8K26W35YGRC77N982HVHBQ dateCreated "2024-03-18T10:52:36Z".
- 01HS8K26W35YGRC77N982HVHBQ dateModified "2024-10-29T18:41:04Z".
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:04b692a5-b0f7-42ee-8c09-1a51de628c21.
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:0e819786-91e3-443d-b3e3-8eb2b97f88bc.
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:6e3718ab-df11-482b-9441-31131702eba6.
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:b6814aa5-9b47-4fd7-b450-7048552a3d20.
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:d0670fa1-69d3-4562-9f43-b47095be83c3.
- 01HS8K26W35YGRC77N982HVHBQ editor urn:uuid:d1843364-4a4d-48aa-8649-acfb50fafe39.
- 01HS8K26W35YGRC77N982HVHBQ name "Federated scheduling of fog-native applications over multi-domain edge-to-cloud ecosystem".
- 01HS8K26W35YGRC77N982HVHBQ pagination urn:uuid:153aeffa-ba6f-4b2a-be08-035889ad850d.
- 01HS8K26W35YGRC77N982HVHBQ publisher urn:uuid:86368f13-7899-4015-84cc-1f6b79e4f3c3.
- 01HS8K26W35YGRC77N982HVHBQ sameAs LU-01HS8K26W35YGRC77N982HVHBQ.
- 01HS8K26W35YGRC77N982HVHBQ sourceOrganization urn:uuid:68f1c0fd-9393-4392-8f21-db4b1648a6b8.
- 01HS8K26W35YGRC77N982HVHBQ sourceOrganization urn:uuid:b2ae43f2-74ce-4e65-b78d-ddcbaafd1da4.
- 01HS8K26W35YGRC77N982HVHBQ type P1.