sumit kumar bose, unisys scott brock, unisys ronald leaton skeoch, unisys
DESCRIPTION
Optimizing Live Migration of Virtual Machines across Wide Area Networks using Integrated Replication and Scheduling. Sumit Kumar Bose, Unisys Scott Brock, Unisys Ronald Leaton Skeoch, Unisys Nisaruddin Shaikh, Unisys Shrisha Rao, IIIT-Bangalore. Agenda. Motivation and Problem Addressed. - PowerPoint PPT PresentationTRANSCRIPT
Optimizing Live Migration of Virtual Machines across Wide Area Networks using Integrated Replication and Scheduling
Sumit Kumar Bose, UnisysScott Brock, UnisysRonald Leaton Skeoch, UnisysNisaruddin Shaikh, UnisysShrisha Rao, IIIT-Bangalore
Contd…
• Integrated replication and scheduling of VMs.– Selectively choose appropriate clouds for VM replication– Using past cost history
• However, blindly replicating VM images leads to increased storage requirements.
• Reduce overall storage requirements due to VM image replication by exploiting commonality across different VM images using de-duplication.– Past studies show that different VM images have significant
common content due to common substrates (OS, web-servers etc).
Contd…
• VM1 and VM2 images share significant similarity.
VM1
VM1
VM1
VM2
VM2VM2
Storage cost shoots up!!!!
Contd…
• Exploit de-duplication to reduce storage cost
VM1
VM1
VM1 VM2
VM2
VM2
Trade-off between storage cost and operational cost
Contd…
• The research questions that arise in such contexts are to determine the – List of eligible sites for different VM images (Replication
phase) – Placement of the replicas at different cloud sites (replication
phase)– Primary copy from among the replicas of a VM image
(Scheduling phase)
• Our primary focus is to develop efficient replication strategies for questions (i) and (ii) using our integrated VM replication and scheduling architecture
Experiments
• We implemented the replication strategy using Java.• We extended open-source CloudSim toolkit and
incorporated the replication module in it.• We experimented extensively and simulated different
scenarios using CloudSim toolkit• To evaluate the performance of the CloudSpider algorithm
we implemented the following naïve strategies: – RandomMax – RandomMin – MaxReplica– MinReplica.
Contd…
– RandomMax and RandomMin strategies, randomly selects sites from the eligible list of a VM image for placing the replicas.
– MaxReplica and MinReplica strategies select the first few sites from the eligible list of VM for creating the replicas.
• Performance criteria: The average (over 100 simulation iterations) of total storage consumed by all the replicas belonging to all the VM images.
Contd…
• Tables 3 to 9: Shows the variation in the average storage requirement by the different strategies when the following parameters is varied:– number of data-centers – number of VM images – file size – latency threshold– savings threshold
• Results: Cloudspider shows significant reduction in cost of storage requirement.
Conclusion
• To overcome migration latencies associated with moving large sized files over the low-bandwidth networks , we propose to combine VM replication with VM scheduling.
• We compensate the additional storage requirement due to the increase in the number of replicas by exploring commonalities across different VM images using de-duplication techniques.
• The proposed architecture for integrated replication and scheduling – CloudSpider – is promising.