Integrated Networking, Caching, and Computing

F. Richard Yu, Tao Huang, Yunjie Liu

• Publisher: CRC Press
• Year: 2018
• ISBN:
  9781351611237
• Edition: 1
• Topic: Computer Science
• Subtopic: Information Technology
• Index: Computer Science

This book features the major research advances on integrated networking, caching, and computing. Information-centric networking-based caching is one of the promising techniques for future networks. The cloud computing paradigm has been widely adopted to enable convenient, on-demand network access to a shared pool of configurable computing resources. In addition, fog/edge computing is proposed to deploy computing resources closer to end devices. From the perspective of applications, network, cache and compute are underlying enabling resources. How to manage, control and optimize these resources can have significant impacts on application performance.

Contents

1 Overview, Motivations and Frameworks

1.1 Overview

1.1.1 Recent advances in wireless networking

1.1.2 Caching

1.1.3 Computing

1.2 Motivations and requirements

1.2.1 What is integration of networking, caching and computing?

1.2.2 Why do we need integration of networking, caching and computing?

1.2.2.1 The growth of networking alone is not sustainable

1.2.2.2 The benefits brought by the integration of networking, caching and computing

1.2.3 The requirements of integration of networking, caching and computing

1.2.3.1 Coexistence

1.2.3.2 Flexibility

1.2.3.3 Manageability and programmability

1.2.3.4 Heterogeneity

1.2.3.5 Scalability

1.2.3.6 Stability and convergence

1.2.3.7 Mobility

1.2.3.8 Backward compatibility

1.3 Frameworks

1.3.1 Caching‐networking framework

1.3.1.1 D2D delivery (Fig. 1.2a)

1.3.1.2 Multihop delivery via D2D relay (Fig. 1.2b)

1.3.1.3 Cooperative D2D delivery (Fig. 1.2c)

1.3.1.4 Direct SBS delivery (Fig. 1.2d)

1.3.1.5 Cooperative SBS delivery (Fig. 1.2e)

1.3.2 Computing‐networking framework

1.3.2.1 Cloud mobile media

1.3.2.2 Mobile edge computing

1.3.3 Caching‐computing framework

1.3.4 Caching‐computing‐networking framework

1.3.4.1 Networking‐caching‐computing convergence

1.3.4.2 Networking and computing assisted caching

1.3.5 A use case

References

2 Performance Metrics and Enabling Technologies

2.1 Performance metrics

2.1.1 General metrics

2.1.1.1 Cost

2.1.1.2 Revenue

2.1.1.3 Recovery time

2.1.2 Networking-related metrics

2.1.2.1 Coverage and capacity (throughput)

2.1.2.2 Deployment efficiency

2.1.2.3 Spectral efficiency

2.1.2.4 Energy efficiency

2.1.2.5 QoS

2.1.2.6 Signaling delay and service latency

2.1.3 Caching-related metrics

2.1.3.1 Average latency

2.1.3.2 Hop-count

2.1.3.3 Load fairness

2.1.3.4 Responses per request

2.1.3.5 Cache hits

2.1.3.6 Caching efficiency

2.1.3.7 Caching frequency

2.1.3.8 Cache diversity

2.1.3.9 Cache redundancy

2.1.3.10 Absorption time

2.1.4 Computing-related metrics

2.1.4.1 Execution time

2.1.4.2 Energy consumption

2.1.4.3 Computation dropping cost

2.1.4.4 Throughput

2.2 Enabling technologies

2.2.1 Caching-networking

2.2.1.1 Caching in heterogeneous networks

2.2.1.2 Caching in information-centric networking

2.2.1.3 Caching in D2D networking

2.2.1.4 Others

2.2.2 Computing-networking

2.2.2.1 Cloud computing and networking

2.2.2.2 Fog computing and networking

2.2.2.3 Mobile edge computing and networking

2.2.3 Caching-computing-networking

References

3 Edge Caching with Wireless Software-Defined Networking

3.1 Wireless SDN and edge caching

3.1.1 Motivations and contributions

3.1.2 Literature review

3.2 System model and problem formulation

3.2.1 Network Model

3.2.1.1 Wireless communication model

3.2.1.2 Proactive wireless edge caching model

3.2.1.3 Video QoE model

3.2.2 Problem formulation

3.3 Bandwidth provisioning and edge caching

3.3.1 Proposed caching decoupling via dual decomposition

3.3.2 Upper bound approach to solving ()

3.3.3 Rounding methods based on marginal benefits

3.3.4 Computational complexity, convergence and optimality

3.3.5 Implementation design in SDWNs

3.4 Simulation results and discussion

3.4.1 Algorithm performance

3.4.2 Network performance

3.4.2.1 Delay

3.4.2.2 QoE guarantee

3.4.3 Utilization

3.4.3.1 Caching resources

3.4.3.2 Backhaul resource

3.5 Conclusions and future work

References

4 Resource Allocation for 3C‐Enabled HetNets

4.1 Introduction

4.2 Architecture overv...

Table of contents

• Cover
• Halftitle Page
• Title Page
• Copyright
• Table of Contents