Utilization Driven Model for Server Consolidation in Cloud Data Centers
The application of cloud computing has diversified with the adoption of Internet of Things (IoTs) and edge computing. However, it has increased the uncertainty of workload demand; thus, the efficient utilization of cloud computing resources become more challenging. Traditionally, dynamic consolidati...
Main Authors: | Hammad Ur-Rehman Qaiser, Gao Shu, Asad Waqar Malik |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8943193/ |
Similar Items
-
Server Consolidation Based on Culture Multiple-Ant-Colony Algorithm in Cloud Computing
by: Chunmiao Yuan, et al.
Published: (2019-06-01) -
Latency-Sensitive Data Allocation and Workload Consolidation for Cloud Storage
by: Song Yang, et al.
Published: (2018-01-01) -
Energy efficient strategy for placement of virtual machines selected from underloaded servers in compute Cloud
by: Nimisha Patel, et al.
Published: (2020-07-01) -
Load Balancing and Server Consolidation in Cloud Computing Environments: A Meta-Study
by: Mohammed Ala'Anzy, et al.
Published: (2019-01-01) -
EAMA: Efficient Adaptive Migration Algorithm for Cloud Data Centers (CDCs)
by: Muhammad Ibrahim, et al.
Published: (2021-04-01)