Using a vision cognitive algorithm to schedule virtual machines
Scheduling virtual machines is a major research topic for cloud computing, because it directly influences the performance, the operation cost and the quality of services. A large cloud center is normally equipped with several hundred thousand physical machines. The mission of the scheduler is to sel...
Main Authors: | Zhao Jiaqi, Mhedheb Yousri, Tao Jie, Jrad Foued, Liu Qinghuai, Streit Achim |
---|---|
Format: | Article |
Language: | English |
Published: |
Sciendo
2014-09-01
|
Series: | International Journal of Applied Mathematics and Computer Science |
Subjects: | |
Online Access: | https://doi.org/10.2478/amcs-2014-0039 |
Similar Items
-
Workload Stability-Aware Virtual Machine Consolidation Using Adaptive Harmony Search in Cloud Datacenters
by: Ho Yeong Yun, et al.
Published: (2021-01-01) -
Energy Aware Virtual Machine Scheduling in Data Centers
by: Yeliang Qiu, et al.
Published: (2019-02-01) -
DRALBA: Dynamic and Resource Aware Load Balanced Scheduling Approach for Cloud Computing
by: Said Nabi, et al.
Published: (2021-01-01) -
Performance of integrated workload scheduling and pre-fetching in multimedia mobile cloud computing
by: Kaveh Khorramnejad, et al.
Published: (2018-07-01) -
Virtual time-aware virtual machine systems
by: Yoginath, Srikanth B.
Published: (2014)