Table 1.
Recent advances on IoT distributed computing.
| Research Line | Main Contribution Area |
|---|---|
| (i) Framework design for distributed computing | |
| Managing the quality of experience in the multimedia IoT [16] | Quality of Experience |
| QoS-Aware scheduling of services-oriented IoT [17] | Scheduling method |
| Distributed computational model for shared processing [18] | Distributed computing model |
| IoT-Based Computational Framework [19] | Distributed computing model |
| A scalable IoT framework using virtual sensor [20] | Virtual sensor framework |
| Middleware for Internet of Things [22] | Middleware |
| MinT: Middleware for Cooperative Interaction of Things [23] | Middleware |
| Integration of Edge, IoT and the Cloud [24] | Edge of Things |
| Scheduling internet of things Apps in cloud computing [25] | Scheduling method |
| Payload-size and deadline-aware scheduling [26] | Scheduling method |
| Task Requirement Aware Pre-processing and Scheduling [27] | Scheduling method |
| Flexible framework for real-time embedded systems [28] | Scheduling method |
| (ii) Integration with Cloud Computing resources | |
| IoT and Cloud Computing [29] | General analysis |
| Machine learning for IoT [5] | Cloud-based Intelligence |
| Model of Internet of Things and Cloud (IoT-Cloud) [30] | Mobile cloud computing |
| A study on cloud-based Internet of Things: CloudIoT [31] | General analysis |
| Integration of Cloud computing and IoT [32] | Survey |
| Cloud Computing and Internet of Things Integration [33] | General analysis |
| Framework for computation offloading [34] | Mobile Cloud Computing |
| MCC for computation offloading [35] | Mobile Cloud Computing |
| Multi-Criteria Decision Analysis Methods [36] | Offloading process analysis |
| Stochastic Analysis of Delayed Mobile Offloading [37] | Offloading process analysis |
| Application-oriented offloading [38] | Offloading process analysis |
| Mobile Cloud Services [39] | Mobile Cloud Services |
| (iii) Security | |
| Trust computation models for service management in IoT [40] | Survey |
| Secure integration of IoT and Cloud Computing [41] | IoT-Cloud security |
| Security and privacy challenges in MCC [42] | MCC security |
| Security, privacy and trust in IoT [43] | Survey |
| Cyber security framework for IoT-based Energy Internet [44] | Intelligent Security System |
| Fog computing security [49] | Fog computing security |
| Distributed intrusion detection system [50] | Distributed system security |
| GDPR and the Internet of Things [46] | GDPR |
| Normative challenges of identification [47] | GDPR |
| (iv) Distributed applications design | |
| Design flow for web service applications [51] | Model-based design |
| The web of things [52] | Web service -based design |
| Cloud-based platform for distributed IoT applications [53] | Deployment platform |
| Commercial frameworks for the IoT [54] | Survey of design platforms |
| A Self-Managing Containerized IoT Platform [55] | Design platform |
| IoT Design Patterns [56] | Design patterns |
| Data Mining proposal of distributed applications events [57] | Data Mining |
| Open IoT Ecosystem [58] | Deployment platform |
| Future Internet of Things Controller [59] | Decentralized Intelligence |
| IoT and Multiagent Systems [60] | Decentralized Intelligence |