Joint Optimization of Computational Cost and Devices Energy for Task Offloading in Multi-Tier Edge-Clouds

Multi-access edge computing (MEC) has formed a major improvement in the existing mobile cloud computing paradigm, due to its ability in addressing the rising number of latency-sensitive services. However, bearing in mind the limited capacity that edge servers possess which offsets their benefits in...

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Veröffentlicht in:	IEEE transactions on communications 2019-05, Vol.67 (5), p.3407-3421
Hauptverfasser:	El Haber, Elie, Nguyen, Tri Minh, Assi, Chadi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Approximation algorithms Branch and Bound Business Cloud computing Complexity Computation offloading Computational efficiency Computational modeling convex optimization cost efficiency Edge computing Energy conservation Energy consumption hierarchical edge-clouds Leasing Mathematical models Mobile computing multi-access edge computing Offsets Optimization Polynomials Resource management second order cone programming Servers Task analysis task offloading
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