Name
Title | ||
|---|---|---|
An ontology for heterogeneous resources management interoperability and HPC in the cloud. |
Abstract | ||
|---|---|---|
The ever-increasing number of customers that have been using cloud computing environments is driving heterogeneity in the cloud infrastructures. The incorporation of heterogeneous resources to traditional homogeneous infrastructures is supported by specific resource managers cohabiting with traditional resource managers. This blend of resource managers raises interoperability issues in the Cloud management domain as customer services are exposed to disjoint mechanisms and incompatibilities between APIs and interfaces. In addition, deploying and configuring HPC workloads in such environments makes porting HPC applications, from traditional cluster environments to the Cloud, complex and ineffectual. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.future.2018.05.086 | Future Generation Computer Systems |
Keywords | Field | DocType |
Cloud interoperability,HPC in cloud,Resource management,Ontology,Self-management clouds | Resource management,Ontology,Architecture,Software engineering,Interoperability,Computer science,Exploit,Intercloud,Porting,Cloud computing,Distributed computing | Journal |
Volume | ISSN | Citations |
88 | 0167-739X | 0 |
PageRank | References | Authors |
0.34 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gabriel G. Castañé | 1 | 4 | 2.45 |
| Huanhuan Xiong | 2 | 52 | 7.07 |
| Dapeng Dong | 3 | 12 | 4.93 |
| John P. Morrison | 4 | 262 | 45.28 |