Abstract | ||
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The demands of migrating legacy on-premises IT assets to cloud dramatically increase with the wide adoption of cloud computing. Researches present automatic combination of multiple proprietary migration services offered by different vendors together to complete cloud migration. However, current cloud migration approaches are mainly basing on the direct on-premises component to cloud component mapping. Those approaches lack the flexible of components merge and split due to the neglecting of the fact that on-premises systems' configurations are also layered as the cloud service models. This paper modelizes the layer partition and integration using layer system configuration information and proposes a novel graph based approach to enable node merge or split for more flexible cloud migration. The layered model including OS, intermediate, and application layers has a perfect mapping to the cloud service model of IaaS, PaaS, and SaaS. The case study shows that our proposed layer partition and integration approach is effective for more flexible cloud migration. |
Year | DOI | Venue |
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2017 | 10.1109/IEEE.EDGE.2017.28 | 2017 IEEE International Conference on Edge Computing (EDGE) |
Keywords | Field | DocType |
Layer Partition,Layer Integration,Cloud Migration | Graph,Layered model,Application layer,Computer science,System configuration,Software as a service,Partition (number theory),Cloud testing,Cloud computing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-2018-2 | 0 | 0.34 |
References | Authors | |
0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zhitao Wan | 1 | 12 | 4.34 |
L. Duan | 2 | 12 | 3.65 |
Ping Wang | 3 | 93 | 44.15 |