| Autor: |
R. C. Dharmik, Poonam V. Kapse |
| Rok vydání: |
2017 |
| Předmět: |
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| Zdroj: |
2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC). |
| DOI: |
10.1109/i-smac.2017.8058326 |
| Popis: |
Cloud computing is the rising technology in everyday life. Cloud computing is a boon on IT area. Everyone moving on cloud technology from IT companies to military, single users to multiple users. Number of clients began utilizing cloud innovation and expanding gradually. Cloud services can access from anywhere without any demarcation, the only need is the internet. Virtualization is the essential feature of cloud computing. These virtual machines are made on the premise of client requests. In virtualization the jobs processes and execute randomly. So some jobs required more time to execute while some required less time. Job who required long time makes other small jobs to wait for longer time. To swamp this situation paper suggests different scheduling algorithms. In the proposed framework for execution of scheduled jobs if the current virtual machines can't execute jobs having more prominent mips rate as contrast with virtual machine mips then the framework will create another virtual machine on the same physical machine which will be equipped for executing work. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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