TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
A New Multi-objective Evolutionary Algorithm for Inter-Cloud Service Composition |
| 영문제목(English Title) |
A New Multi-objective Evolutionary Algorithm for Inter-Cloud Service Composition |
| 저자(Author) |
Li Liu
Shuxian Gu
Dongmei Fu
Miao Zhang
Rajkumar Buyya
|
| 원문수록처(Citation) |
VOL 12 NO. 01 PP. 0001 ~ 0020 (2018. 01) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
Service composition in the Inter-Cloud raises new challenges that are caused by the different Quality of Service (QoS) requirements of the users, which are served by different geo-distributed Cloud providers. This paper aims to explore how to select and compose such services while considering how to reach high efficiency on cost and response time, low network latency, and high reliability across multiple Cloud providers. A new hybrid multi-objective evolutionary algorithm to perform the above task called LS-NSGA-II-DE is proposed, in which the differential evolution (DE) algorithm uses the adaptive mutation operator and crossover operator to replace the those of the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) to get the better convergence and diversity. At the same time, a Local Search (LS) method is performed for the Non-dominated solution set 𝐹{1} in each generation to improve the distribution of the 𝐹{1}. The simulation results show that our proposed algorithm performs well in terms of the solution distribution and convergence, and in addition, the optimality ability and scalability are better compared with those of the other algorithms.
|
| 키워드(Keyword) |
Inter-Cloud
Service Composition
Service Composition
Differential Evolution Algorithm
|
| 파일첨부 |
PDF 다운로드
|
