2018
DOI: 10.1007/s11761-018-0228-2
|View full text |Cite
|
Sign up to set email alerts
|

Notes on ensembles of IoT, network functions and clouds for service-oriented computing and applications

Abstract: Many advances have been introduced recently for service-oriented computing and applications (SOCA). The Internet of Things (IoT) has been pervasive in various application domains. Fog/Edge computing models have shown techniques that move computational and analytics capabilities from centralized data centers where most enterprise business services have been located to the edge where most customer's Things and their data and actions reside. Network functions between the edge and the cloud can be dynamically prov… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2018
2018
2021
2021

Publication Types

Select...
5
1

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 73 publications
0
2
0
Order By: Relevance
“…Truong et al [57] shows that the problem of heterogeneity requires grouping of different network components in the ecosystem known as ensembling. For different requests and tasks, the ecosystem's components ensemble to provide services.…”
Section: Automatic Orchestration and Collaborationmentioning
confidence: 99%
See 1 more Smart Citation
“…Truong et al [57] shows that the problem of heterogeneity requires grouping of different network components in the ecosystem known as ensembling. For different requests and tasks, the ecosystem's components ensemble to provide services.…”
Section: Automatic Orchestration and Collaborationmentioning
confidence: 99%
“…Aazam et al [48] Rescati et al [49] Mukherjee et al [16] Dastjerdi and Buyya [51] Mutlag et al [64] Saqib and Hamid [65] Bittencourt et al [37] Yi et al [50] Atlam et al [52] Nandyala and Kim [46] Mehdipour et al [53] Virdis et al [54] Kertiou et al [35] Prabavathy et al [55] Buzachis et al [56] Truong et al [57] Yassein et al [18] Al-Fuqaha et al [17] Luan et al [10] Krivic et al [60] Perera et al [13] Guerrero et al [58] Kim et al [59] Osman [39] Seiger et al [67] Zhang and Sheng [72] Bruns et al [73] Papageorgiou et al [74] Naha et al [14] Garcia-de Prado et al [41] Forkan et al [40] Kumar and Prakash [38] Kraemer et al [76] Portmann et al [61] Misra et al [66] Hassani et al [77] Kapitsaki et al [75] Mejtoft [62] Esmaeilian et al [43] Rahmani and Kanter [63]…”
Section: Automation Types Papers Data Transfer Task Scheduling Data Fmentioning
confidence: 99%