TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
CTaG: An Innovative Approach for Optimizing Recovery Time in Cloud Environment |
| 영문제목(English Title) |
CTaG: An Innovative Approach for Optimizing Recovery Time in Cloud Environment |
| 저자(Author) |
Pham Phuoc Hung
Mohammad Aazam
Eui-Nam Huh
|
| 원문수록처(Citation) |
VOL 09 NO. 04 PP. 1282 ~ 1301 (2015. 04) |
한글내용
(Korean Abstract) |
Traditional infrastructure has been superseded by cloud computing, due to its cost-effective and ubiquitous computing model. Cloud computing not only brings multitude of opportunities, but it also bears some challenges. One of the key challenges it faces is recovery of computing nodes, when an Information Technology (IT) failure occurs. Since cloud computing mainly depends upon its nodes, physical servers, that makes it very crucial to recover a failed node in time and seamlessly, so that the customer gets an expected level of service. Work has already been done in this regard, but it has still proved to be trivial. In this study, we present a Cost-Time aware Genetic scheduling algorithm, referred to as CTaG, not only to globally optimize the performance of the cloud system, but also perform recovery of failed nodes efficiently. While modeling our work, we have particularly taken into account the factors of network bandwidth and customer’s monetary cost. We have implemented our algorithm and justify it through extensive simulations and comparison with similar existing studies. The results show performance gain of our work over the others, in some particular scenarios.
|
영문내용
(English Abstract) |
|
| 키워드(Keyword) |
Cloud computing
task scheduling
big data
recovery time
offloading
|
| 파일첨부 |
PDF 다운로드
|
