JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Load Balancing in Cloud Computing Using Meta-Heuristic Algorithm |
| 영문제목(English Title) |
Load Balancing in Cloud Computing Using Meta-Heuristic Algorithm |
| 저자(Author) |
Youssef Fahim
Hamza Rahhali
Mohamed Hanine
El-Habib Benlahmar
El-Houssine Labriji
Mostafa Hanoune
Ahmed Eddaoui
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| 원문수록처(Citation) |
VOL 14 NO. 03 PP. 0569 ~ 0589 (2018. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
Cloud computing, also known as “country as you go”, is used to turn any computer into a dematerialized architecture in which users can access different services. In addition to the daily evolution of stakeholders’ number and beneficiaries, the imbalance between the virtual machines of data centers in a cloud environment impacts the performance as it decreases the hardware resources and the software’s profitability. Our axis of research is the load balancing between a data center’s virtual machines. It is used for reducing the degree of load imbalance between those machines in order to solve the problems caused by this technological evolution and ensure a greater quality of service. Our article focuses on two main phases: the pre-classification of tasks, according to the requested resources; and the classification of tasks into levels (‘odd levels’ or ‘even levels’) in ascending order based on the meta-heuristic “Bat-algorithm”. The task allocation is based on levels provided by the bat-algorithm and through our mathematical functions, and we will divide our system into a number of virtual machines with nearly equal performance. Otherwise, we suggest different classes of virtual machines, but the condition is that each class should contain machines with similar characteristics compared to the existing binary search scheme.
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| 키워드(Keyword) |
Bat-Algorithm
Cloud Computing
Load Balancing
Pre-scheduling
Virtual Machines
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| 파일첨부 |
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