dynamic vm synthesis for cloudlet - istc retreat poster-
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Dynamic VM Synthesis for Cloudlet - ISTC Retreat Poster-. Kiryong Ha, Padmanabhan S Pillai , Mahadev Satyanarayanan. Handtalk Wearable Glove. Motivation. Rich applications using video and voice are arising in mobile context, but they are too expensive to run on the client alone - PowerPoint PPT PresentationTRANSCRIPT
Dynamic VM Synthesis for Cloudlet-ISTC Retreat Poster-
Kiryong Ha, Padmanabhan S Pillai, Mahadev Satyanarayanan
Motivation1. Rich applications using video and voice are arising in mobile context, but they are too
expensive to run on the client alone
2. And it cannot be handled in current Cloud computing– Cloud computing is highly centralized approach, so that it is too far from you
High latency and limited bandwidth across WAN
3. Let’s bring the cloud to the mobile users Cloudlet!
Olympus Mobile Eye Trek
Wearable Computer
HandtalkWearable
Glove
Tablet
Smartphone
Coffee shopCloudlet
WAN todistant cloudon Internet
• Key Challenges– Management
• Decentralization requires extreme standardization for mini-mal system management
– Personalization• Much customization needed, even for commercial apps
Ex) personal preferences, speech tuning, domain-specific vo-cabulary.
• Out Approach– Use a personal VM and take it with you everywhere
Dynamic VM Synthesis• Problems in VM : too big to carry, transfer, and launch
• Solution: Dynamic VM Synthesis– Base VM: Cloudlet pre-fetches large, widely-used VM
– VM overlay: Mobile device delivers small patch just before use
– Cloudlet discards VM after use/Or caches for future reuse
Mobile Device
Nearby Computing Resource
1) Transfer Overlay VM
3) Launched VM
2-2) Synthesis with Base VM
2-1) Decompress
Application4) Cloudlet Service
Prototype System
Intel Xeon 6 core @1.86GHz8GB Main Memory
802.11n Wireless
Smartphone
Smartphone
Prototype Applications• Object-Recognition (MOPED)
– Object recognition and pose estima-tion program (CMU RI)
• Face Detection and Recognition– OpenCV
• Application characteristics– Requires high computation and in-
teractivity
– Future Candidates• Indoor navigation
• Language translation …
Experiment• Overlay Size
Applica-tion
Program size (MB) OS
Base Disk
(GB) *
Base Mem-ory
(MB) **Compressed Overlay (MB)
Gimp 55.2 Ubunutu 2.5 476 142
MOPED 27.5 Ubunutu 2.5 476 173
FACE 17.66 Windows XP 2.1 279 109
Null 0 Ubunutu 2.5 476 0.32
* 8GB Disk with qcow2** Memory snapshot of 2GB Main Memory
Experiment• VM Synthesis Time
Applica-tion
Overlay Transfer (s)
Decom-pression (s)
Apply Delta (s)
Run KVM (s) Total (s)
Gimp 38 17.2 18.7 2.1 76.0
MOPED 44.9 23.3 17.9 4.0 90.1
FACE 30.3 14.5 9.7 4.0 58.5
Null * 0.1 0.04 10.7 4.0 15.6
* Null case is for comparison and does not install anything
Work in progress• Goal: Reducing VM synthesis time
– Discovery, transfer, and launch to happen within 5 seconds
• Work in progress– Pipe-lining
• Overlapping multiple steps with a pipelined fashion
– Exploiting parallelism
– Multi-layer overlay• Dividing overlay into multi-layer and caching some for next run.
– Launch before completing synthesis• Use base VM information to start VM even before getting all overlay.