A Survey on Service Migration in Mobile Edge Computing

Wang, Shangguang; Xu, Jinliang; Zhang, Ning; Liu, Yujiong

doi:10.1109/access.2018.2828102

Cited by 314 publications

(187 citation statements)

References 79 publications

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“…The instance layer is the running state of an application, such as CPU, register, non-pageable memory, etc. [5]. When a service is migrated, it will check whether the destination edge server has the copy of the needed base layer and application layer to avoid unnecessary data transferring.…”

Section: Multi-user Edge Server Selection With a Single Servicementioning

confidence: 99%

“…To tackle this issue, mobile edge computing (MEC) has been proposed, and a large number of small-scale servers are placed at the network edge [3,4]. MEC is regarded as a supplement to mobile devices with relatively limited computational and storage capacity [5], which can enable computation offloading [6] and provide services to users. Service providers deploy their services on hired edge servers to serve users [7,8] so that users can directly connect to edge servers to get services via the wireless communication infrastructure at the network edge (e.g., cellular base station and Wi-Fi access point).…”

Section: Introductionmentioning

confidence: 99%

“…Due to users' mobility, if the user leaves the coverage area with an unfinished service, service migration should be taken into consideration, and the service will be migrated to another server. It may have data of hundreds of megabytes or several gigabytes to transfer between different servers [5], so that significant network performance degradation will result. In many cases, single mobile service cannot fully satisfy users' requests.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Zhang

et al. 2019

Future Internet

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In mobile edge computing, a set of edge servers is geographically deployed near the mobile users such that accessible computing capacities and services can be provided to users with low latency. Due to user’s mobility, one fundamental and critical problem in mobile edge computing is how to select edge servers for many mobile users so that the total waiting time is minimized. In this paper, we propose a multi-user waiting time computation model about composite services and show the resource contention of the edge server among mobile users. Then, we introduce a novel and optimal Multi-user Edge server Selection method based on Particle swarm optimization (MESP) in mobile edge computing, which selects edge servers for mobile uses in advance within polynomial time. Extensive simulations on a real-world data-trace show that the MESP algorithm can effectively reduce the total waiting time compared with traditional approaches.

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Section: Multi-user Edge Server Selection With a Single Servicementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Zhang

et al. 2019

Future Internet

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“…In both cases, services need to be migrated to satisfy the quality-of-service (QoS) requirement. Service migration [4], which is referred to as relocating services from one fog node to another, has been proposed to deal with such challenges. As shown in Figure 1, once a single fog node is overloaded, service migration is triggered to offload this fog node to other fog nodes or edge servers.…”

Section: Introductionmentioning

confidence: 99%

Low-Latency Strategies for Service Migration in Fog Computing Enabled Cellular Networks

Li¹,

Shen²,

Chen³

et al. 2021

Moving Broadband Mobile Communications Forward - Intelligent Technologies for 5G and Beyond

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This chapter presents a fog computing enabled cellular network (FeCN), in which the high user-mobility feature brings critical challenges for service continuity under stringent service requirements. Service migration is promising to fulfill the service continuity during mobility. However, service migration cannot be completed immediately and may lead to situations where the user-experience degrades. For this, a quality-of-service aware service migration strategy is proposed. The method is based on existing handover procedures with newly introduced distributed fog computing resource management scheme to minimize the potential negative effects induced by service migration. The performance of the proposed schemes is evaluated by a case study, where realistic vehicular mobility pattern in the metropolitan network of Luxembourg is used. Results show that low end-to-end latency for vehicular communication can be achieved. During service migration, both the traffic generated by migration and the other traffic (e.g., control information, video) are transmitted via mobile backhaul networks. To balance the performance of the two kinds of traffic, a delay-aware bandwidth slicing scheme is proposed. Simulation results show that, with the proposed method, migration data can be transmitted successfully within a required time threshold, while the latency and jitter for nonmigration traffic with different priorities can be reduced significantly.

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“…Fog computing or Fog, is an evolution of the cloud computing model [8], in which resources are moved to the edge of the network or beyond [9]. The advent of Fog technology, and Mobile Edge Computing, allows extending the concepts of Cloud Computing to the network edge.…”

Section: Introductionmentioning

confidence: 99%

TLS/PKI Challenges and Certificate Pinning Techniques for IoT and M2M Secure Communications

Díaz-Sánchez

Marin-Lopez

Almenárez

et al. 2019

IEEE Commun. Surv. Tutorials

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Transport Layer Security is becoming the de facto standard to provide end-to-end security in the current Internet. IoT and M2M scenarios are not an exception since TLS is also being adopted there. The ability of TLS for negotiating any security parameter, its flexibility and extensibility are responsible for its wide adoption but also for several attacks. Moreover, as it relies on Public Key Infrastructure (PKI) for authentication, it is also affected by PKI problems. Considering the advent of IoT/M2M scenarios and their particularities, it is necessary to have a closer look at TLS history to evaluate the potential challenges of using TLS and PKI in these scenarios. According to this, the article provides a deep revision of several security aspects of TLS and PKI, with a particular focus on current Certificate Pinning solutions in order to illustrate the potential problems that should be addressed.

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A Survey on Service Migration in Mobile Edge Computing

Cited by 314 publications

References 79 publications

Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Mobility-Enabled Edge Server Selection for Multi-User Composite Services

Low-Latency Strategies for Service Migration in Fog Computing Enabled Cellular Networks

TLS/PKI Challenges and Certificate Pinning Techniques for IoT and M2M Secure Communications

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