MobiScud: A Fast Moving Personal Cloud in the Mobile Network

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1 MobiScud: A Fast Moving Personal Cloud in the Mobile Network Kaiqiang Wang, Minwei Shen Junguk Cho, Jacobus Van der Merwe Arijit Banerjee, Kirk Webb 2/6/16 1

2 Various Wearable Devices 2/6/16 2

3 With Wearable Device The Google glass keeps doing facial recognimon or analysis. The smart wristband detects and records my heartbeats and blood pressure, giving me advices. More on the way 2/6/16 3

4 ApplicaMon Requirements CharacterisMcs of these applicamons Highly responsive : should get results in real- Mme (AR, face recognimon) Intensive computamon : hard to run only on mobile Need storage to keep and analyze user- related informamon However, the first priority of wearable devices is not computamon and storage, but be[er portability Need computa3on offloading to cloud server everywhere and any3me 2/6/16 4

5 With Cloud & Mobile Network Cloud server Provide compumng resource & storage for wearable & mobile devices Stable connecmvity LTE is everywhere and always- on (Macro, small cells) LTE is more stable than WiFi since it runs on license spectrum However, cloud server far from users and centralized GWs (hierarchical rou3ng) in Core network result in unpredictable and long delay Offset benefit from computa3on offloading due to network delay Cloudlet* approach on mobile network 2/6/16 Cloudlet* - The case for vm- based cloudlets in mobile compu8ng, Satyanarayanan et al. 5

6 Cloudlet WiFi AP Source: The case for vm- based cloudlets in mobile compu8ng, Satyanarayanan, et al. In Cloudlet, they designed Cloudlet based on WiFi network We tried to use this Cloudlet approach in mobile network 2/6/16 6

7 Challenges of Cloudlet on Mobile Network for Low Latency Deployment Put cloudlets with or close to enodeb ModificaMon of exismng mobile network is difficult Rigid architecture and complex protocol in mobile network Mobility As an user moves, inimal cloudlet for the user can be gradually far from the user ( e.g., Handover ) Considering target applicamons are highly latency- sensimve, increasing small latency drops user s QoS a lot 2/6/16 7

8 Design Requirements Highly distributed cloudlet plaform Deploy cloudlet approach without modificamon of current protocol or mobile network Guarantee constantly short latency regardless of mobility 2/6/16 8

9 Proposed Architecture : MobiScud Highly distributed cloudlet plaform Cloudlet with or close to Radio Access Network (RAN) Apply cloudlet approach without modificamon of current protocol or mobile network SoMware- Define Networking (SDN) Guarantee constantly short latency regardless of mobility Personal cloudlet keeps following the owner Combine handover procedure & cloudlet migra3ons 2/6/16 9

10 MobiScud Architecture LTE/EPC Architecture Cloud MobiScud Internet enb SDN SGW PGW SDN enb MME Cloud MobiScud 2/6/16 10

11 MobiScud Architecture LTE/EPC Architecture Cloud MobiScud MobiScud components Internet enb SDN SGW PGW SDN enb MME Cloud MobiScud 2/6/16 11

12 MobiScud Architecture LTE/EPC Architecture Cloud MobiScud MobiScud components Internet enb SDN SGW PGW SDN enb MME Cloud MobiScud MobiScud Monitor Monitor the control plane messages ( e.g., a[achment and handover event ) Extract necessary informamon from them for future flow rules 2/6/16 12

13 MobiScud Architecture LTE/EPC Architecture Cloud MobiScud MobiScud components Internet enb SDN SGW PGW SDN enb MME Cloud MobiScud MobiScud Controller - Orchestrate SDN substrate and Cloud plaworm Construct flow rules with extracted informamon from Monitor Manage cloud plaform to create and migrate the personal VMs Exchange control message between MobiScud controllers to support handover 2/6/16 13

14 MobiScud Architecture LTE/EPC Architecture Cloud MobiScud MobiScud components Internet enb SDN SGW PGW SDN enb MME Cloud MobiScud SMORE* SDN SelecMve traffic offloading evaluamon based on flow- entries : Cloud or Internet GTP Tunnel en/decapsulamon SMORE*: socware- defined networking mobile offloading architecture, J Cho et al. 2/6/16 14

15 MobiScud Workflow for Handover AMer user ayachment Traffic for Cloud Traffic for Internet Internet SGW PGW SDN1 enb1 1 MME MobiScud1 Cloud1 2/6/16 15

16 MobiScud Workflow for Handover Cloud2 MobiScud2 User start moving, Handover procedure starts Internet enb2 SDN2 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 16

17 MobiScud Workflow for Handover Cloud2 MobiScud2 2 Internet enb2 SDN2 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 17

18 MobiScud Workflow for Handover Cloud2 MobiScud2 Internet enb2 SDN2 SGW PGW 3 SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 18

19 MobiScud Workflow for Handover Cloud2 MobiScud2 Internet enb2 SDN2 SGW PGW SDN1 enb1 4 MME MobiScud1 Cloud1 2/6/16 19

20 MobiScud Workflow for Handover Cloud2 MobiScud2 Request VM migra3on Internet enb2 SDN2 SGW PGW SDN1 enb1 5 MobiScud1 MME Cloud1 2/6/16 20

21 MobiScud Workflow for Handover Cloud2 MobiScud2 Start VM migra3on Internet enb2 SDN2 6 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 21

22 MobiScud Workflow for Handover Cloud2 MobiScud2 Handover completes Internet enb2 SDN2 6 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 22

23 MobiScud Workflow for Handover Cloud2 MobiScud2 S3ll use VM in cloud 1 Internet enb2 SDN2 6 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 23

24 MobiScud Workflow for Handover Cloud2 MobiScud2 S3ll use VM in cloud 1 Internet enb2 SDN2 6 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 24

25 MobiScud Workflow for Handover Cloud2 MobiScud2 AMer finishing VM migra3on Modify flow rules 7 Internet enb2 SDN2 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 25

26 MobiScud Workflow for Handover Cloud2 MobiScud2 Use VM in Cloud2 Internet enb2 8 SDN2 SGW PGW SDN1 enb1 MME MobiScud1 Cloud1 2/6/16 26

27 MobiScud Workflow for Handover Cloud2 MobiScud2 Internet enb2 SDN2 SGW PGW SDN1 enb1 9 MME MobiScud1 Cloud1 2/6/16 27

28 ImplementaMon PhantomNet testbed hyp://phantomnet.org/ OpenEPC LTE/EPC somware MobiScud SDN & Controller SMORE SDN & Ryu controller Personal cloudlet Xen 2/6/16 28

29 EvaluaMon End- to- End RTT improvement according to the level of cloud distribu3on Cloud in Internet Cloud in intermediate locamon between enb and Core network (MTSO) MobiScud without VM MigraMon MobiScud with VM MigraMon We use ping for evaluamon 2/6/16 29

30 EvaluaMon End- to- End RTT improvement according to the level of cloud distribu3on Cloud in Internet Cloud in intermediate locamon between enb and Core network (MTSO) MobiScud without VM MigraMon MobiScud with VM MigraMon We use ping for evaluamon 2/6/16 30

31 EvaluaMon End- to- End RTT improvement according to the level of cloud distribu3on Cloud in Internet Cloud in intermediate loca3on between enb and Core network (MTSO) MobiScud without VM MigraMon MobiScud with VM MigraMon We use ping for evaluamon 2/6/16 31

32 EvaluaMon End- to- End RTT improvement according to the level of cloud distribu3on Cloud in Internet Cloud in intermediate locamon between enb and Core network (MTSO) MobiScud without VM Migra3on MobiScud with VM MigraMon We use ping for evaluamon 2/6/16 32

33 EvaluaMon End- to- End RTT improvement according to the level of cloud distribu3on Cloud in Internet Cloud in intermediate locamon between enb and Core network (MTSO) MobiScud without VM MigraMon MobiScud with VM Migra3on We use ping for evaluamon 2/6/16 33

34 RTT of Different Cases Constant ~80 ms latency Constant ~20 ms latency 2/6/16 34

35 RTT of Different Cases First Handover Second Handover 2/6/16 35

36 RTT of Different Cases First Handover Second Handover 2/6/16 36

37 Conclusion We presented MobiScud architectue to realize cloudlet in mobile network for low latency applicamons No modificamon of exismng LTE/EPC mobile network. Keep following personal cloudlet even handover Prototype realizamon of MobiScud architecture in PhantomNet LTE/EPC testbed. 2/6/16 37

38 Conclusion We presented MobiScud architecture to realize cloudlet in mobile network for low latency applicamons No modificamon of exismng LTE/EPC mobile network. Keep following personal cloudlet even handover Prototype realizamon of MobiScud architecture in PhantomNet LTE/EPC testbed. Visit phantomnet.org 2/6/16 38

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