Publicación: AN EDGE SERVER PLACEMENT METHOD BASED ON REINFORCEMENT LEARNING
dc.creator | JOEL ALEJANDRO FUENTES LÓPEZ | |
dc.date | 2022 | |
dc.date.accessioned | 2025-01-10T15:27:56Z | |
dc.date.available | 2025-01-10T15:27:56Z | |
dc.date.issued | 2022 | |
dc.description.abstract | IN MOBILE EDGE COMPUTING SYSTEMS, THE EDGE SERVER PLACEMENT PROBLEM IS MAINLY TACKLED AS A MULTI-OBJECTIVE OPTIMIZATION PROBLEM AND SOLVED WITH MIXED INTEGER PROGRAMMING, HEURISTIC OR META-HEURISTIC ALGORITHMS, ETC. THESE METHODS, HOWEVER, HAVE PROFOUND DEFECT IMPLICATIONS SUCH AS POOR SCALABILITY, LOCAL OPTIMAL SOLUTIONS, AND PARAMETER TUNING DIFFICULTIES. TO OVERCOME THESE DEFECTS, WE PROPOSE A NOVEL EDGE SERVER PLACEMENT ALGORITHM BASED ON DEEP Q-NETWORK AND REINFORCEMENT LEARNING, DUBBED DQN-ESPA, WHICH CAN ACHIEVE OPTIMAL PLACEMENTS WITHOUT RELYING ON PREVIOUS PLACEMENT EXPERIENCE. IN DQN-ESPA, THE EDGE SERVER PLACEMENT PROBLEM IS MODELED AS A MARKOV DECISION PROCESS, WHICH IS FORMALIZED WITH THE STATE SPACE, ACTION SPACE AND REWARD FUNCTION, AND IT IS SUBSEQUENTLY SOLVED USING A REINFORCEMENT LEARNING ALGORITHM. EXPERIMENTAL RESULTS USING REAL DATASETS FROM SHANGHAI TELECOM SHOW THAT DQN-ESPA OUTPERFORMS STATE-OF-THE-ART ALGORITHMS SUCH AS SIMULATED ANNEALING PLACEMENT ALGORITHM (SAPA), TOP-K PLACEMENT ALGORITHM (TKPA), K-MEANS PLACEMENT ALGORITHM (KMPA), AND RANDOM PLACEMENT ALGORITHM (RPA). IN PARTICULAR, WITH A COMPREHENSIVE CONSIDERATION OF ACCESS DELAY AND WORKLOAD BALANCE, DQN-ESPA ACHIEVES UP TO 13.40% AND 15.54% BETTER PLACEMENT PERFORMANCE FOR 100 AND 300 EDGE SERVERS RESPECTIVELY. | |
dc.format | application/pdf | |
dc.identifier.doi | 10.3390/e24030317 | |
dc.identifier.issn | 1099-4300 | |
dc.identifier.issn | 1099-4300 | |
dc.identifier.uri | https://repositorio.ubiobio.cl/handle/123456789/12142 | |
dc.language | spa | |
dc.publisher | Entropy | |
dc.relation.uri | 10.3390/e24030317 | |
dc.rights | PUBLICADA | |
dc.title | AN EDGE SERVER PLACEMENT METHOD BASED ON REINFORCEMENT LEARNING | |
dc.type | ARTÍCULO | |
dspace.entity.type | Publication | |
ubb.Estado | PUBLICADA | |
ubb.Otra Reparticion | DEPARTAMENTO DE CIENCIAS DE LA COMPUTACION Y TECNOLOGIA DE LA INFORMACION. | |
ubb.Sede | CHILLÁN |