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Hybrid Resource Orchestration and Scheduling for Cyber-Physical-Human Systems
- Source :
- HPCC/DSS/SmartCity
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Recently Cyber-Physical-Human Systems (CPHS) have been attracted much attention. Unlike existing computing paradigms such as Cloud Computing and Edge Computing, CPHS usually comprise many types of hybrid resources such as software and hardware in the cloud layer, network devices and edge servers in the network layer, as well as the physical devices and human participation. Such hybrid resource makes it challenging to efficient resource scheduling for CPHS. Previous studies on CPHS often focus on improving scheduling efficiency for specific application scenarios and thus are limited for other CPHS. In this work, we present a unified hybrid resource scheduling framework for CPHS, including a hybrid resource model for multiple types of resource providers and participants in CPHS, a hybrid resource orchestration tool that can describe our hybrid resource model as the resource requirements, and a scheduling mechanism to satisfy the resource requirements especially by considering the resource constraints and crosslayer scheduling in CPHS. We perform the case study of typical CPHS scenarios and show that our hybrid resource model and scheduling framework is effective, and provide a new view for improving the resource provision efficiency in CPHS.
- Subjects :
- Computer science
business.industry
Distributed computing
020208 electrical & electronic engineering
Cyber-physical system
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Networking hardware
Scheduling (computing)
Resource (project management)
Server
0202 electrical engineering, electronic engineering, information engineering
Orchestration (computing)
business
Edge computing
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE 22nd International Conference on High Performance Computing and Communications; IEEE 18th International Conference on Smart City; IEEE 6th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
- Accession number :
- edsair.doi...........205b8adce0951a98870716ea0aaf0532