Migration of Virtual machine in cloud using cloudsim
Budget: $30 – $250 USD
Base Paper:
https://www.researchgate.net/publication/339963360_Energy-efficient_strategy_for_virtual_machine_consolidation_in_cloud_environment
As per base paper below requirements needs to be covered (Expections):
1. Creation of Host List – Create required number of host list based on host types which is the initial step for overload and underload detection.
2. As part of ESS strategy in base paper
a. Overload Detection (excluded host list-to creation, Performance-to-Power ratio(PPR) computation)
b. Underload Detection of hosts needs to be covered (Creation of Data Centr(cluster of hosts) this is required to calculate lower threshold
based on CPU utilization, Lower threshold computation (same server type in one cluster)- required for lower threshold computation).
3. Virtual machine selection using Minimum migration time over deviation (MMTD) policy.
4. Virtual machine placement policy - (As in base paper algorithm)
Simulation results expected using CloudSim:
Compare mmtd(as in base paper) work with PlanetLab workload data (IqrMc and LrMmt) and generate graph ( refer Fig. 1, Fig.2, Fig 3, Fig 7 & Fig 8 in base paper)
Last task has to been done as per power topic for VM placement strategy:
Virtual machine placement policy using Power-based policy - Only 30% should be achieved.
https://www.researchgate.net/publication/339963360_Energy-efficient_strategy_for_virtual_machine_consolidation_in_cloud_environment
As per base paper below requirements needs to be covered (Expections):
1. Creation of Host List – Create required number of host list based on host types which is the initial step for overload and underload detection.
2. As part of ESS strategy in base paper
a. Overload Detection (excluded host list-to creation, Performance-to-Power ratio(PPR) computation)
b. Underload Detection of hosts needs to be covered (Creation of Data Centr(cluster of hosts) this is required to calculate lower threshold
based on CPU utilization, Lower threshold computation (same server type in one cluster)- required for lower threshold computation).
3. Virtual machine selection using Minimum migration time over deviation (MMTD) policy.
4. Virtual machine placement policy - (As in base paper algorithm)
Simulation results expected using CloudSim:
Compare mmtd(as in base paper) work with PlanetLab workload data (IqrMc and LrMmt) and generate graph ( refer Fig. 1, Fig.2, Fig 3, Fig 7 & Fig 8 in base paper)
Last task has to been done as per power topic for VM placement strategy:
Virtual machine placement policy using Power-based policy - Only 30% should be achieved.
Related categories:
Business, Accounting, Human Resources & Legal
Python
Amazon Web Services
Virtual Machines
Simulation