Reducing the Mission Time of Drone Applications through Location-Aware Edge Computing

2021 ◽  
Author(s):  
Theodoros Kasidakis ◽  
Giorgos Polychronis ◽  
Manos Koutsoubelias ◽  
Spyros Lalis
Keyword(s):  
Edge Computing ◽  
Location Aware ◽  
Mission Time

A Novel Approach to Location-Aware Scheduling of Workflows Over Edge Computing Resources

2020 ◽  
Vol 17 (3) ◽  
pp. 56-68
Author(s):  
Yin Li ◽  
Yuyin Ma ◽  
Ziyang Zeng
Keyword(s):  
Real World ◽  
Service Level Agreement ◽  
Service Level ◽  
Scientific Workflow ◽  
Edge Computing ◽  
Workflow Scheduling ◽  
Location Aware ◽  
Novel Approach ◽  
Negative Impacts ◽  
Multiple Metrics

Edge computing is pushing the frontier of computing applications, data, and services away from centralized nodes to the logical extremes of a network. A major technological challenge for workflow scheduling in the edge computing environment is cost reduction with service-level-agreement (SLA) constraints in terms of performance and quality-of-service requirements because real-world workflow applications are constantly subject to negative impacts (e.g., network congestions, unexpected long message delays, shrinking coverage, range of edge servers due to battery depletion. To address the above concern, we propose a novel approach to location-aware and proximity-constrained multi-workflow scheduling with edge computing resources). The proposed approach is capable of minimizing monetary costs with user-required workflow completion deadlines. It employs an evolutionary algorithm (i.e., the discrete firefly algorithm) for the generation of near-optimal scheduling decisions. For the validation purpose, the authors show that our proposed approach outperforms traditional peers in terms multiple metrics based on a real-world dataset of edge resource locations and multiple well-known scientific workflow templates.

Location-Aware Privacy Preserving in Edge Computing

2021 ◽  
pp. 65-82
Author(s):  
Longxiang Gao ◽  
Tom H. Luan ◽  
Bruce Gu ◽  
Youyang Qu ◽  
Yong Xiang
Keyword(s):  
Privacy Preserving ◽  
Edge Computing ◽  
Location Aware

Smart Community Edge: Stream Processing Edge Computing Node for Smart Community Services

2020 ◽  
Vol 140 (9) ◽  
pp. 1030-1039
Author(s):  
W.A. Shanaka P. Abeysiriwardhana ◽  
Janaka L. Wijekoon ◽  
Hiroaki Nishi
Keyword(s):  
Stream Processing ◽  
Community Services ◽  
Edge Computing ◽  
Computing Node ◽  
Smart Community

Load Balancing for Energy-Harvesting Mobile Edge Computing

2021 ◽  
Vol E104.A (1) ◽  
pp. 336-342
Author(s):  
Ping ZHAO ◽  
Jiawei TAO ◽  
Abdul RAUF ◽  
Fengde JIA ◽  
Longting XU
Keyword(s):  
Energy Harvesting ◽  
Load Balancing ◽  
Edge Computing ◽  
Mobile Edge Computing

Dynamic Service Placement and Load Distribution in Edge Computing

2020 ◽  
Author(s):  
Adyson Magalhaes Maia ◽  
Yacine Ghamri-Doudane ◽  
Dario Vieira ◽  
Miguel Franklin de Castro
Keyword(s):  
Load Distribution ◽  
Edge Computing ◽  
Service Placement
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