Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks

Sun, Xiang; Ansari, Nirwan; Fan, Qi

doi:10.1109/cloudcom.2015.23

Cited by 34 publications

(11 citation statements)

References 27 publications

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“…For comparisons, we select other two live Avatar migration decision strategies, i.e., the Follow me AvataR (FAR) strategy and the Static strategy. The idea of the FAR strategy is to minimize the E2E delay between an Avatar and its UE by assigning the Avatar to the available cloudlet (i.e., the cloudlet has enough space to hold the Avatar), which has the lowest E2E delay to its UE's BS [5]. The Static strategy is to avoid the migration cost, i.e., the locations of Avatars do not change over time after they are initially deployed.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Assigning a specific Avatar to each UE in the cloudlet provides hardware isolation by securely running each UE's application workloads on a shared physical hardware. On the top of the cloudlets, Software Defined Network (SDN) based cellular core network has been proposed in the cloudlet network architecture to provide efficient and flexible communications paths between Avatars in different cloudlets as well as between UEs in different BSs [4], [5].…”

Section: Introductionmentioning

confidence: 99%

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PRIMAL: PRofIt Maximization Avatar pLacement for mobile edge computing

Sun

Ansari

2016

2016 IEEE International Conference on Communications (ICC)

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We propose a cloudlet network architecture to bring the computing resources from the centralized cloud to the edge. Thus, each User Equipment (UE) can communicate with its Avatar, a software clone located in a cloudlet, with lower end-to-end (E2E) delay. However, UEs are moving over time, and so the low E2E delay may not be maintained if UEs' Avatars stay in their original cloudlets. Thus, live Avatar migration (i.e., migrating a UE's Avatar to a suitable cloudlet based on the UE's location) is enabled to maintain low E2E delay between each UE and its Avatar. On the other hand, the migration itself incurs extra overheads in terms of resources of the Avatar, which compromise the performance of applications running in the Avatar. By considering the gain (i.e., the E2E delay reduction) and the cost (i.e., the migration overheads) of the live Avatar migration, we propose a PRofIt Maximization Avatar pLacement (PRIMAL) strategy for the cloudlet network in order to optimize the tradeoff between the migration gain and the migration cost by selectively migrating the Avatars to their optimal locations.Simulation results demonstrate that as compared to the other two strategies (i.e., Follow Me Avatar and Static), PRIMAL maximizes the profit in terms of maintaining the low average E2E delay between UEs and their Avatars and minimizing the migration cost simultaneously.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PRIMAL: PRofIt Maximization Avatar pLacement for mobile edge computing

Sun

Ansari

2016

2016 IEEE International Conference on Communications (ICC)

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“…In order to balance the energy gap among cloudlets, we propose to migrate proxy VMs from the cloudlets with negative energy gap into the cloudlets with positive energy gap [25]. Specifically, the energy demand of cloudlet k equals to the sum of the energy consumption of working PMs † † .…”

Section: Solution 4: Energy Driven Proxy Vm Migration Among Cloudletsmentioning

confidence: 99%

“…Instead of applying the traditional cellular core network architecture, which leads to inefficient, inflexible, and unscalable packet forwarding, the SDN based mobile core network [22][23][24][25][26][27][28] is adopted in MEIoT. The SDN based mobile core network is essentially decoupling the control plane from the switches, which only run data plane functionalities.…”

Section: Sdn Based Mobile Core Networkmentioning

confidence: 99%

Mobile Edge Computing Empowers Internet of Things

Ansari

Sun

2018

IEICE Trans. Commun.

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SUMMARY In this paper, we propose a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the fiber-wireless access technology, the cloudlet concept, and the software defined networking framework. The MEIoT architecture brings computing and storage resources close to Internet of Things (IoT) devices in order to speed up IoT data sharing and analytics. Specifically, the IoT devices (belonging to the same user) are associated to a specific proxy Virtual Machine (VM) in the nearby cloudlet. The proxy VM stores and analyzes the IoT data (generated by its IoT devices) in realtime. Moreover, we introduce the semantic and social IoT technology in the context of MEIoT to solve the interoperability and inefficient access control problem in the IoT system. In addition, we propose two dynamic proxy VM migration methods to minimize the end-to-end delay between proxy VMs and their IoT devices and to minimize the total on-grid energy consumption of the cloudlets, respectively. Performance of the proposed methods is validated via extensive simulations.

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“…In [14], the authors proposed an architecture of SDN-based fog computing for vehicular ad hoc networks. In [15], a green cloudlet network powered by hybrid energy sources was proposed, supporting seamless services with low latency. More efforts are needed to explore the synergy in combining these three novel technologies for better RAN performance and user experience.…”

Section: Introductionmentioning

confidence: 99%

An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing

et al. 2017

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© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.eprints@whiterose.ac.uk https://eprints.whiterose.ac.uk/ Reuse Unless indicated otherwise, fulltext items are protected by copyright with all rights reserved. The copyright exception in section 29 of the Copyright, Designs and Patents Act 1988 allows the making of a single copy solely for the purpose of non-commercial research or private study within the limits of fair dealing. The publisher or other rights-holder may allow further reproduction and re-use of this version -refer to the White Rose Research Online record for this item. Where records identify the publisher as the copyright holder, users can verify any specific terms of use on the publisher's website. Takedown AbstractToday, billions of communication devices connecting to wireless networks impose serious challenges in network deployment, management, and data processing. Amongst all emerging technologies tackling these challenges, software defined networks (SDNs) decouple control plane from data plane to provide network programmability and virtualization, which can share network and radio resources among various applications. On the other hand, fog computing offloads computing services from cloud to the edge of networks, offering real time data services to nearby data terminals. In this paper, we present an integrated architecture for software defined and virtualized radio access networks with fog computing. We propose a design of software-as-a-service (SaaS) called OpenPipe, which enables network level virtualizaiton. To integrate SDNs and network virtualization with fog computing, we adopt a hybrid control model with two hierarchical control levels, where a SDN controller forms the higher level, and local controllers comprise the lower level. Typical user cases of the proposed network architecture are validated through laboratory demonstrations.

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Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks

Cited by 34 publications

References 27 publications

PRIMAL: PRofIt Maximization Avatar pLacement for mobile edge computing

PRIMAL: PRofIt Maximization Avatar pLacement for mobile edge computing

Mobile Edge Computing Empowers Internet of Things

An Integrated Architecture for Software Defined and Virtualized Radio Access Networks with Fog Computing

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