An Improved Dynamic Fault Tolerant Management Algorithm during VM migration in Cloud Data Center

2019 ◽  
Vol 98 ◽  
pp. 35-43 ◽  
Author(s):  
V.M. Sivagami ◽  
K.S. Easwarakumar
Keyword(s):  
Data Center ◽  
Fault Tolerant ◽  
Cloud Data Center ◽  
Vm Migration ◽  
Cloud Data ◽  
Management Algorithm

scholarly journals A Switch Based Resource Management Method for Energy Optimization in Cloud Data Center

2021 ◽  
pp. 85-91
Author(s):  
Shally Vats ◽  
Sanjay Kumar Sharma ◽  
Sunil Kumar
Keyword(s):  
Data Center ◽  
Data Centers ◽  
Energy Requirement ◽  
Energy Optimization ◽  
Cloud Service ◽  
Optimization Method ◽  
Level Energy ◽  
Cloud Data Center ◽  
Vm Migration ◽  
Cloud Data

Proliferation of large number of cloud users steered the exponential increase in number and size of the data centers. These data centers are energy hungry and put burden for cloud service provider in terms of electricity bills. There is environmental concern too, due to large carbon foot print. A lot of work has been done on reducing the energy requirement of data centers using optimal use of CPUs. Virtualization has been used as the core technology for optimal use of computing resources using VM migration. However, networking devices also contribute significantly to the responsible for the energy dissipation. We have proposed a two level energy optimization method for the data center to reduce energy consumption by keeping SLA. VM migration has been performed for optimal use of physical machines as well as switches used to connect physical machines in data center. Results of experiments conducted in CloudSim on PlanetLab data confirm superiority of the proposed method over existing methods using only single level optimization.

scholarly journals Software-Defined Network Resource Optimization of the Data Center Based on P4 Programming Language

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Fei Peng ◽  
Tianjie Cao
Keyword(s):  
Programming Language ◽  
Data Center ◽  
Resource Optimization ◽  
Network Dynamic ◽  
Software Defined Network ◽  
Cloud Data Center ◽  
Network Resource ◽  
Migration Strategy ◽  
Vm Migration ◽  
Cloud Data

This paper makes use of the new architecture software-defined network (SDN) in the cloud data center based on P4 language to realize the flexible management and configuration of the network equipment to achieve (a) data center virtualization management and (b) data center resource optimization based on the P4 programming language. Furthermore, error tolerance of dynamic network optimization depends on the virtual machine (VM) online migration technology, and the load balancing mechanism has a very good flexibility. At the same time, the paper proposed a multipath VM migration strategy based on a quality of service (QoS) mechanism, which divides the VM migration resources into different QoS flows by network dynamic transmission and then selects valid forwarding for each flow path to migrate VMs. This ensures to improve the overall migration performance of VMs and ultimately the dynamic optimization of the network resources and their management. Our experimental evaluations show that the proposed model is approximately 13% and 17% better than the traditional state-of-the-art methods in terms of minimum migration time and the least downtime, respectively.

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