Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption
University of Alberta · Nanyang Technological University · +2 more institutions
Abstract
Mobile users typically have high demand on localized and location-based information services. To always retrieve the localized data from the remote cloud, however, tends to be inefficient, which motivates fog computing. The fog computing, also known as edge computing, extends cloud computing by deploying localized computing facilities at the premise of users, which prestores cloud data and distributes to mobile users with fast-rate local connections. As such, fog computing introduces an intermediate fog layer between mobile users and cloud, and complements cloud computing toward low-latency high-rate services to mobile users. In this fundamental framework, it is important to study the interplay and cooperation…
Citation impact
- FWCI
- 84.75
- Percentile
- 100%
- References
- 45
Authors
5Topics & keywords
- Cloud computing
- Computer science
- Edge computing
- Distributed computing
- Workload
- Mobile edge computing
- Cloudlet
- Computation offloading
- Affordable and clean energy