Online Resource Allocation for Arbitrary User Mobility in Distributed Edge Clouds

By L. Wang, Lei Jiao, Jun Yu Li, Max Mühlhäuser. 2017

102 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Shiqiang Wang
2. Sameh Sorour
3. Umair Mohammad
4. Kin Kwong Leung
5. Christian Makaya
6. Theodoros Salonidis
7. Yun Yang
8. Kevin Sean Chan

Citations in the corpus

• Adaptive Federated Learning in Resource Constrained Edge Computing Systems (2018, background): “Existing work on MEC focuses on generic applications, where solutions have been proposed for application offloading [11], [12], workload scheduling [13], [14], and service migration triggered by user mobility [15], [16].”
• Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing (2018, background): “The authors of [13] also made an assumption that each small geographical area will only receive coverage from only a single edge server, which will be unlikely to happen in real-14 world scenarios.”
• When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning (2018, background): “RELATED WORK Existing work on MEC focuses on generic applications, where solutions have been proposed for application offloading [7], [8], workload scheduling [9], [10], and service migration triggered by user mobility [11], [12].”