OAI Based Wireless Distributed Storage Systems...2018/06/20 · Beijing University of Posts and Telecommunications OAI Based Wireless Distributed Storage Systems 06/21/2018 Jianbin

Beijing University of Posts and Telecommunications

OAI Based Wireless Distributed Storage Systems

06/21/2018Jianbin Chuan, Jiajia Wu, and Ge Wang

High Performance Computingand Networking Lab

Team leader:

Prof. Li Wang

Research Lab--HPCNHigh-Performance Computing and Networking Lab (HPCN) • Currently: 3 Ph.D. , 1 joint Ph.D (Peking University), and 12 Master Students• Alumni: 16 Master, 1 joint Ph.D. and 20 joint Master Students• Funding: 2 NSFC funding, China Mobile, Intel, Ministry of Education

Research Interests• Heterogeneous Networks• D2D Communications• Massive MIMO• Physical Layer Security• Social Networks• Distributed storage Systems• Computation offloading

Approaches and Tools• Matching theory• Graph theory• Contract theory• Convex optimization• Fractional Programming• Integer and Combinatorial Optimization

1/21

Outline

Theoretical Achievements

Project Results (WDSS)

Future Works

1

3

5

2

4

Challenges and Problems

Background and Motivations

Challenges:

Potential techniques:

Improve communication quality Increase wireless data demand Download duplicated content

D2D communications

– mobile devices can

communicate directly

• Increase network

capacity

• Improve spectral and

energy efficiency

• Extend coverage area

Computational offloading

– offload computational tasks

• Lower transmission latency

• Save energy for mobile devices

• Enable computation-intensive

and latency-critical applications

at the resource-limited mobile

devices

Distributed storage– cache popular content

items

• Reduce transmission

delay

• Improve reliability for

content sharing

• Offload the traffic of BS

Background and Motivations2/21


Computational offloading:

Mobile Edge Computing (MEC)

• Offload computational tasks to deployed MEC servers

Fog Computing

• Offload computational tasks to close-by devices

Base station

Mobile user

MEC server

Mobile user

Mobile user

Computational tasksOffload to MEC server

Computational results returning

back by MEC server

Offload to mobile users

Computational results returning

back by mobile users

• Advantages:• Lower latency

• Energy saving

• Device function extending

• …

3/21

Distributed Storage:

Non-coded caching• Straightforward replication of the data in multiple storage nodes

Coded caching • Content items are coded and stored in different devices


A1

A2A3

Coded caching

• Low redundancy

B B

B

B A

BS

A1 A2 A3

• High secrecy• …

• Low latency • High quality• Low energy

consumption• …

storage

Non-coded caching

4/21

(𝒏, 𝒌)MDS code:

• Principle: A content file with a size of 𝑴 is

partitioned into 𝒌 pieces, encoded and stored in 𝒏Content;

• The original file can be recovered by connecting

any set of 𝒌 CPs (for both content download and

content repair);

• Advantages: Comparing to MBR and MSR,

MDS is the best simplest erasure codes and

can provide an optimal tradeoff between

redundancy and complexity.

coded caching: Erasure Code

• MDS (Maximum Distance Separable Codes)

Redundancy Reliability

Tradeoff

Regenerate Codes• MBR(Minimum Bandwidth Regenerate Codes)

• MSR(Minimum Storage Regenerate Codes)

Repair Process

M New CPMCR

Download Process

M M/kM/k M/k…

Divide into k pieces

M/kM/k M/k M/k…1 2 3 n

Coded into n pieces

• Storage: each CP stores 𝜶𝑴𝑫𝑺=𝑴

kbits;

• Repair: the amount of data that needs to be

retrieved from the network to repair a failed node

𝜸𝑴𝑫𝑺 = 𝑴 bits;

Background and Motivations5/21

Outline



Future Works

3

5

2

4


1 Background and Motivations

Theoretical achievement

Published 90+ ; SCI journals 32 ; best papers in international academic conferences 3.

D2D Communications1. L. Wang, H. Tang, H. Wu, and G. Stüber, “Resource Allocation for D2D Communications Underlay

in Rayleigh Fading Channels,” IEEE Transactions on Vehicular Technology, vol. 66, no. 2, pp.1159-1170, Feb. 2017. (2区，IF：4.066)

2. L. Wang, and G. L. Stuber, “Pairing for Resource Sharing in Cellular Device-to-Device Underlays,”IEEE Network, vol. 30, no. 2, pp. 122-128, Mar.-Apr. 2016. (2区，IF：7.230)

3. L. Wang, H. Tang, and M. Cierny, “Device-to-Device Link Admission Policy Based on SocialInteraction Information,” IEEE Transactions Vehicular Technology, vol. 64, no. 9, pp. 4180-4186,Sept. 2015. (2区，IF：2.642)

Distributed Caching1. L. Wang, H. Wu, Y. Ding, W. Chen, and H. Vincent Poor, “Hypergraph Based Wireless Distributed

Storage Optimization for Cellular D2D Underlays,” IEEE Journal on Selected Areas in

Communications (JSAC), vol. 34, no. 10, pp. 2650-2666, Oct. 2016. (1区，IF：8.085)2. L. Wang, H. Wu, Z. Han, P. Zhang, and H. V. Poor, “Multi-Hop Cooperative Caching in Social IoT

Using Matching Theory,” IEEE Transactions on Wireless Communications, vol. 17, no. 4, pp. 2127-2145, Dec. 2017.（2区，IF：4.951）

3. L. Wang, H. Wu, and Z. Han, “Wireless Distributed Storage in Socially Enabled D2DCommunications,” IEEE Access, vol. 4, pp. 1971-1984, Mar. 2016. (3区，IF：3.244)

Computational Offloading1. Y. Ai, L. Wang, Z. Han, P. Zhang, and L. Hanzo,"Social Networking and Caching Aided Collaborative

Computing for the Internet of Things", Communication Magazine, 2018, submitted.2. M. Guan, B. Bai, L. Wang, S. Jin, and Z. Han, “Joint Optimization for Computation Offloading and

Resource Allocation in Internet of Things,” in Proc. IEEE Vehicular Technology Conference-fall (VTC-fall), Toronto, Canada, Sept. 24-27, 2017.

6/21

Communicationresource

Computational resource

Cache (storage) resource

Low Delay & High quality

High Security & High reliability

High Energy efficiency

High Spectrum efficiency

D2D Communications

Distributed Cache (Storage)

Computational Offloading

6/21

Outline



Future Works

3

5

2

4



U4

U5

U6

U1

U2

WDSS

Server

U3

D2D link Fragment

Content

RepairContent

Request

RS(4,3) code

4 fragments

Database

Wireless AP

Decode

Encode

Content

OAI/Wi-Fi link

Repair

Control

3 fragments

2

1

2

3

4

leave

Scenario of wireless distributed storage

system (WDSS) implementation


7/21


Architecture design of WDSS

8/21


Function of modules in WDSS

Content Management

User Management

Request Handler Repair HandlerWireless

Distributed

Storage

System

Server

Links FeedbackPower Adjustment

Handler Units

Content Management

User Management

Request Handler

Power Adjustment

Repair Handler

Links Feedback

Manage the storage and encoding of content

Manage the login and signoff of users

Handle the content request of users

Handle the content repair of users

Adjust the router power according to user needs

Feedback the Bluetooth RSSI of users

9/21


Wi-Fi based WDSS (finished)

10/21


OAI based WDSS

11/21


WDSS sever GUI and application GUI

12/21

Outline


Future Works

3

5

4


Theoretical Achievements2


Future Work

Our finished work

Our problems:

1) Exhausting too much

signaling resources;

2) Inefficient and blocked

3) Invalid for the devices

with mobility

Potential solution：Using the Network Slicing to

provide corresponding telecommunication services and

network capabilities.Purple marked slice——high

speed, large data size, low delay:

transmit content from cloud center to

users.

Orange marked slice——large

scale, low delay, high reliability:

maintain the function of the

distributed wireless cache system.

Black marked slice——large

traffic, mobile broadband services：suitable for the mobility scenario

Slices and corresponding service requirements

13/21

Future Work

OAI function in Network Slicing supported WDSS

1、OAI supports the full protocol stack of 3GPP

standard. With OAI, the transceiver functionality is

realized via a software radio front end which has strong

programmability inherently.

2、Network Slicing allows multiple logical networks

with different demands to be created on top of a common

shared physical infrastructure. Thus, it can fulfil different

network service in our system.

3、OAI can support Network Slicing flexibly by using

FlexRAN.

14/21

Summary: OAI can provide corresponding

telecommunication services and network capabilities

for users by allocating 3C resources efficiently with the

help of Network Slicing technique.

Network Slicing Based WDSS

Future Work

• OAI: C-RAN architecture adopts the IF4p5

• FlexRAN：A Flexible and Programmable Platform for Software-Defined Radio

Access Networks

• Network Slicing: A Network Slicing Prototype for a Flexible Cloud Radio Access

Network[Foukas2016] X. Foukas, N. Nikaein, M. M. Kassem, M. K. Marina, and K. Kontovasilis, “FlexRAN: A Flexible and Programmable Platform for

Software-Defined Radio Access Networks.” in Proc. Conference on emerging Networking EXperiments and Technologies (CoNEXT '16), ACM,

New York, NY, USA, pp. 427-441.

[Costanzo2018] S. Costanzo, I. Fajjari, N. Aitsaadi and R. Langar, “A Network Slicing Prototype for A Flexible Cloud Radio Access Network,” in

Proc. IEEE Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, 2018, pp. 1-4.

15/21

Future Work

FlexRAN based network slicingSO

SDNC

SRM

Slices

SDB

PRV

PRM

PR

FlexRAN Agent

FlexRAN Protocol FlexRAN Protocol

FlexRA

N

Co

ntro

llerP

lane

No

rthb

ou

nd

AP

ISo

uth

bo

un

dA

PI

FlexRAN Master Controller

FlexRAN AgentFlexRAN Agent

Apps

FlexRAN Agent

FlexRAN Agent API

eNodeB data plane

FlexRAN Agent API

eNodeB data plane

SO: Slice OrchestratorSDNC: SDN Controller SRM: Slice Resource ManagerSDB: Slice Dedicated Bandwidth

PRV: Physical Resource Virtualization PRM: Physical Resource ManagementPR: Physical Resource

FlexRAN Agent

FlexRAN Protocol FlexRAN Protocol

FlexRA

N

Co

ntro

llerP

lane

No

rthb

ou

nd

AP

ISo

uth

bo

un

dA

PI

FlexRAN Master Controller

FlexRAN AgentFlexRAN Agent

Apps

FlexRAN Agent

FlexRAN Agent API

eNodeB data plane

FlexRAN Agent API

eNodeB data plane

16/21

Future Work

SO: instantiate the CN elements by using PNF or VNF and creat theCN instances

SDNC: 1) create slice instances for the services

2) specify the CN elements to the slices

3) manage the slices by usingSRM and SDB

SRM: schedule resources for UEs belongingto its Slice

SDB: enforce policy by the SO to the PRVwhen the slice is first created

APPs

FlexRANAgent

FlexRANMasterController

eNBDataPlane(RRU)

Paradigm of SDN-based network slicing

17/21

[Ksentini2017] A. Ksentini and N. Nikaein, “Toward Enforcing Network Slicing on RAN: Flexibility and Resources Abstraction,” IEEE

Communications Magazine, vol. 55, no. 6, pp. 102-108, 2017

Future Work

Network Slicing supported FlexRAN Agent

eNB FlexRAN Agent(RCC)

RCC

RRU

18/21

Future Work

Network Slicing supported FlexRAN Master Controller

Main functions:1) Information monitoring

of the RAN2) Task management

of users 3) Events notification service4) Virtual resource

management5) Slices management

19/21

Outline


Future Works

3

5

4


Theoretical Achievements2


The works we have finished

1) Published papers on related area

2) Developed a wireless distributed storage system based on both the Wi-Fi and the OAI (no FlexRAN )

3) Developed a FlexRAN system and realizing the static slicing


The works on going

1) To develop a Networking Slicing supported FlexRAN system

2) To facilitate wireless distributed storage system using the Network Slicing supported FlexRAN system

EPC

RCC

RRU

20/21


Problems in Network Slicing

supported FlexRAN

• Is it possible to control and manage 3C

resources through FlexRAN based

Network Slicing?

• Can OAI support these services? What

changes may be needed?

• It’s hard to maintain the dynamic

resources, e.g., RB, to multiple slices.

• It doesn’t performance well for the users

with mobility.

• The robustness of the isolation among

multiple slices is unfriendly.

21/21

Thank you !

Beijing University of Posts and Telecommunications

Contact: Li Wang [email protected]

High Performance Computing and Networking Lab (HPCN)School of Electronic Engineering, BUPT

116#, Beijing University of Posts & Telecom,10 Xitucheng Rd., Haidian Dist.,Beijing 100876, China

mailto:[email protected]

OAI Based Wireless Distributed Storage Systems...2018/06/20 · Beijing University of Posts and Telecommunications OAI Based Wireless Distributed Storage Systems 06/21/2018 Jianbin

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