Optimizing Client-side Resource Utilization in Public...
Transcript of Optimizing Client-side Resource Utilization in Public...
![Page 1: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/1.jpg)
Optimizing Client-side Resource Utilization inPublic Clouds
Swapnil Haria, Mihir Patil, Haseeb Tariq, Anup Rathi
![Page 2: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/2.jpg)
Outline
• Motivation
• Solution
• Implementation
• Evaluation
• Conclusion
![Page 3: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/3.jpg)
Outline
• Motivation
• Solution
• Implementation
• Evaluation
• Conclusion
![Page 4: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/4.jpg)
Cloud Services ( Not a distraction anymore1)
[1] Jeff Bezos' Risky Bet, November 2006, http://www.bloomberg.com/bw/stories/2006-11-12/jeff-bezos-risky-bet
![Page 5: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/5.jpg)
• 30 % of total cloud revenue• Annual revenues crossed $5 Billion
Cloud Services ( Not a distraction anymore1)
[1] Jeff Bezos' Risky Bet, November 2006, http://www.bloomberg.com/bw/stories/2006-11-12/jeff-bezos-risky-bet
![Page 6: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/6.jpg)
Cloud Services ( Not a distraction anymore1)
• 30 % of total cloud revenue• Annual revenues crossed $5 Billion
Other Players :
[1] Jeff Bezos' Risky Bet, November 2006, http://www.bloomberg.com/bw/stories/2006-11-12/jeff-bezos-risky-bet
![Page 7: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/7.jpg)
Popularity
• ZERO up-front capital expenses
• On-demand hardware availability
• Flexible pricing options
![Page 8: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/8.jpg)
Popularity
• ZERO up-front capital expenses
• On-demand hardware availability
• Flexible pricing options
"Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use."
![Page 9: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/9.jpg)
Popularity
• ZERO up-front capital expenses
• On-demand hardware availability
• Flexible pricing options
"Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use."
Elastic Cloud Compute
![Page 10: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/10.jpg)
Popularity
• ZERO up-front capital expenses
• On-demand hardware availability
• Flexible pricing options
"Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use."
Elastic Cloud Compute
![Page 11: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/11.jpg)
Limitations
• Allocate resources in fixed sized chunks (EC2 Instances)
• 1 core , 1GB RAM -> 36 core, 244 GB RAM
• Accurately predict application requirements
• Undersized VM - Performance degradation
• Oversized VM - Extra costs
Multiple applications, multiple VMs, no peace
![Page 12: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/12.jpg)
Challenges
• Application requirements vary widely
• Black Friday for e-commerce websites
http://www.xad.com/media-mentions/mobile-activity-on-xmas-eve-24-pct-higher-than-black-friday/
![Page 13: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/13.jpg)
Challenges
• Application requirements vary widely
• Black Friday for e-commerce websites
• Evenings and late nights for Netflix
http://www.techspot.com/news/46048-netflix-represents-327-of-north-americas-peak-web-traffic.html
![Page 14: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/14.jpg)
Challenges
• Application requirements vary widely
• Black Friday for e-commerce websites
• Evenings and late nights for Netflix
• Slashdot effect!
CMUSphinx Project
![Page 15: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/15.jpg)
Challenges
• Humans are bad at estimating workload requirements2
• Study of developers at Twitter submitting jobs to datacenter
• 70% overestimated by 10x
• 20% underestimated by 5x
terrible
[2]Quasar: Resource-Efficient and QoS-Aware Cluster Management. Christina Delimitrou and Christos Kozyrakis. ASPLOS 2014.
![Page 16: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/16.jpg)
Outline
• Motivation
• Solutions
• Implementation
• Evaluation
• Conclusion
![Page 17: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/17.jpg)
Resource as a Service3
1. Fine grained cloud reservations
2. CPU (cycles), memory (pages), I/O (bandwidth), Time (seconds)
• Where does it stop?
• Reduces wasted costs, but difficult to reason about
• Hardware feasibility issues for service providers
[3] The rise of RaaS: the resource-as-a-service cloud. Orna Agmon Ben-Yehuda et al. Commun. ACM 2014
![Page 18: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/18.jpg)
Proposal
![Page 19: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/19.jpg)
Tell me more!
Application Mobility Real-time Management
![Page 20: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/20.jpg)
Application Mobility
• On-demand application migration across machines
• Conventional issues -
• Application state stored in kernel (file descriptors, sockets)
• Residual dependencies left on source machine
• Execution Continuity
We need
- Process Isolation (even from kernel)
- Minimal state in kernel
![Page 21: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/21.jpg)
Now where did I see that before?
Image Source - Wikipedia
![Page 22: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/22.jpg)
Where do I find one of these?
Old idea, but making a comeback in Cloud OS• Drawbridge from Microsoft Research
• MirageOS from University of Cambridge
Both (claim to) support application-migration!
![Page 23: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/23.jpg)
Real-time Management
• Monitor application requirements in real-time
• Use application migration to organize processes on VMs
![Page 24: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/24.jpg)
Real-time Management
• Monitor application requirements in real-time • Relatively easy• Working set sizes, idle cycles
• Use application migration to organize processes on VMs• Complex • Varying configurations and prices of VMs• Identifying processes to migrate • Downtime / Budgets!
![Page 25: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/25.jpg)
Policies
Steps
• Determine migration events
• Identify process(es) for migration
• Choose target from existing VMs, if possible
• Figure out instance types for creating new VMs
![Page 26: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/26.jpg)
Policies
Metrics (in order of priority)
• Maximize VM utilization
• Satisfy performance guarantees
• Minimize costs
User-Defined Parameters
• Upper limit on cost
• Max downtime per process
![Page 27: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/27.jpg)
Policies
• Single Application per VM
• Easy to reason about
• Use naive best fit model to find target VMs
• Multiple Applications per VM
• Highly complex optimization problem (NP-Hard)
• Use Heuristics!
• Use best fit and explore nearby options to find target VMs
![Page 28: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/28.jpg)
Software Architecture
![Page 29: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/29.jpg)
Software Architecture
![Page 30: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/30.jpg)
Software Architecture
![Page 31: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/31.jpg)
Software Architecture
![Page 32: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/32.jpg)
Outline
• Motivation
• Solutions
• Implementation
• Evaluation
• Conclusion
![Page 33: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/33.jpg)
Proof of Concept Model
• Linux Containers (lxc)
• Emulate isolated processes on Drawbridge/MirageOS
• Checkpoint/Restore in Userspace (CRIU)
• Checkpoint containers on VM A
• Migrate files to VM B
• Restore on VM B
![Page 34: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/34.jpg)
Simulator
• Rapidly validate migration policies
• Evaluate the influence of policy parameters on results
• Written in about 2000 lines of Java code
![Page 35: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/35.jpg)
Outline
• Motivation
• Solutions
• Implementation
• Evaluation
• Conclusion
![Page 36: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/36.jpg)
Experimental Setup
• Proof of concept model(WIP)• Live migrating SPEC benchmarks running in LXC
• Observed downtime – 30 seconds (depending of process size)
• Migration Policy Simulations• Used our own random workload generator
• 2 workloads of each type – static, high variability and low variability
![Page 37: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/37.jpg)
Capping Costs
0
10
20
30
40
50
60
3 4 4.5 5
Max spending limit per day (dollars)
Number of Migrations
Single app Multiple apps
0
50
100
150
200
250
300
350
400
3 4 4.5 5
Max spending limit per day (dollars)
Overcommitment
Single app Multiple apps
![Page 38: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/38.jpg)
Constraining Downtime
12.5
13
13.5
14
14.5
15
15.5
2 3 4 5
Max migrations per process per day
Total Cost
Single app Multiple apps
0
100
200
300
400
500
600
2 3 4 5
Max migrations per process per day
Overcommitment
Single app Multiple apps
![Page 39: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/39.jpg)
Suppressing Spikes
0
10
20
30
40
50
60
1 4 8
Median window size
Number of Migrations
Single app Multiple apps
0
50
100
150
200
250
1 4 8
Median window size
Overcommitment
Single app Multiple apps
![Page 40: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/40.jpg)
Show me the money
• Baseline• Used same workloads as the simulation
• Picked from available VMs that would best fit the workloads
• No migrations!
• Cost for 3 days - $45.36
• Our solution• No migration policy requires more than $15 for 3 days
• 66% money saved!
![Page 41: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/41.jpg)
Conclusions
• Streamlining cloud operations important with increasing scale
• Current IaaS reservation models insufficient
• Better support needed from cloud providers • Amazon EC2 Container Service
• Migration policies have to optimize in a multi-dimensional space
• Simple ones offer savings too!
![Page 42: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/42.jpg)
Questions?
![Page 43: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/43.jpg)
BACKUPS
![Page 44: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/44.jpg)
Single application per VM
![Page 45: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/45.jpg)
Effect of cost per day
0
5
10
15
20
25
30
35
40
45
3 4 4.5 5
Max amount allowed per day (dollars)
Migrations and Cost
Migrations Cost
0
20
40
60
80
100
120
140
3 4 4.5 5
Max amount allowed per day (dollars)
Overcommitment
Overcommitment
![Page 46: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/46.jpg)
Migrations cap
0
5
10
15
20
25
30
35
2 3 4
Max number of migrations per process per day
Migrations and Cost
Migrations Cost
0
100
200
300
400
500
600
2 3 4
Max number of migrations per process per day
Overcommitment
Overcommitment
![Page 47: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/47.jpg)
Median window variations
0
5
10
15
20
25
30
35
40
45
50
1 4 8
Migrations and Cost
Migrations Cost
0
20
40
60
80
100
120
140
160
180
200
1 4 8
Overcommitment
Overcommitment
![Page 48: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/48.jpg)
Multiple applications per VM
![Page 49: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/49.jpg)
Effect of cost per day
0
10
20
30
40
50
60
3 4 4.5 5
Max amount allowed per day (dollars)
Migrations and Cost
Migrations Cost
0
50
100
150
200
250
300
350
400
3 4 4.5 5
Max amount allowed per day (dollars)
Overcommitment
Overcommitment
![Page 50: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/50.jpg)
Migrations cap
0
5
10
15
20
25
30
35
40
45
50
3 4 5
Max number of migrations per process per day
Migrations and Cost
Migrations Cost
0
100
200
300
400
500
600
3 4 5
Max number of migrations per process per day
Overcommitment
Overcommitment
![Page 51: Optimizing Client-side Resource Utilization in Public Cloudspages.cs.wisc.edu/~swapnilh/resources/CS736 Final Presentation.pdf•Live migrating SPEC benchmarks running in LXC •Observed](https://reader034.fdocuments.net/reader034/viewer/2022051805/5ff9ca7e67804405617e1ac7/html5/thumbnails/51.jpg)
Median window variations
0
10
20
30
40
50
60
1 4 8
Migrations and Cost
Migrations Cost
0
50
100
150
200
250
1 4 8
Overcommitment
Overcommitment