DOTA: Delay Bounded Optimal Cloudlet Deployment and User Association in WMANs

Ma, Longjie; Wu, Jigang; Chen, Long

doi:10.1109/ccgrid.2017.34

Cited by 39 publications

(33 citation statements)

References 10 publications

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“…The MEC servers/cloudlets deployment and requests allocation are of great importance in networks, which have been attracting more attention in recent years [15]. The latency [16][17][18][19] and deployment cost [20,21] are usually considered as the criterions for performance evaluation.…”

Section: Related Workmentioning

confidence: 99%

Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks

Liu

Zhang

2020

Sensors

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With the increasing number of Internet of Things (IoT) devices, a huge amount of latency-sensitive and computation-intensive IoT applications have been injected into the network. Deploying mobile edge computing (MEC) servers in cloud radio access network (C-RAN) is a promising candidate, which brings a number of critical IoT applications to the edge network, to reduce the heavy traffic load and the end-to-end latency. The MEC server’s deployment mechanism is highly related to the user allocation. Therefore, in this paper, we study hierarchical deployment of MEC servers and user allocation problem. We first formulate the problem as a mixed integer nonlinear programming (MINLP) model to minimize the deployment cost and average latency. In terms of the MINLP model, we then propose an enumeration algorithm and approximate algorithm based on the improved entropy weight and TOPSIS methods. Numerical results show that the proposed algorithms can reduce the total cost, and the approximate algorithm has lower total cost comparing the heaviest-location first and the latency-based algorithms.

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Section: Related Workmentioning

confidence: 99%

Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks

Liu

Zhang

2020

Sensors

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“…However, the cloud and the device side are usually very far; the migration between applications and the equipment side always results in a high migration delay. In order to address this challenge, the concept of "cloudlet" is proposed and studied, for example, [17,[45][46][47][48], all describe cloudlet computing and related technologies.…”

Section: Related Workmentioning

confidence: 99%

“…6 The number of required cloudlets after a time period of t computation offloading problem based on cloudlet in multi-channel wireless contention environment. In [46], authors address the problem of choosing the appropriate position to place cloudlet to reduce the user's access delay. For service provider, it is always very costly to deploy cloudlets; thus, how many cloudlets should be placed in a WMAN and how much resource each cloudlet should have is the challenging issue in [46].…”

Section: Related Workmentioning

confidence: 99%

“…In [46], authors address the problem of choosing the appropriate position to place cloudlet to reduce the user's access delay. For service provider, it is always very costly to deploy cloudlets; thus, how many cloudlets should be placed in a WMAN and how much resource each cloudlet should have is the challenging issue in [46]. In [47], the author optimizes the relationship between the local cloud and the remote cloud, maintaining a balance between energy consumption and QoS.…”

Section: Related Workmentioning

confidence: 99%

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ECPM: an energy-efficient cloudlet placement method in mobile cloud environment

Shen

Xue

2019

J Wireless Com Network

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The development of mobile cloud computing has greatly improved the computing and storage performance of mobile devices. And mobile cloud computing is undoubtedly the necessary way to solve the performance of the process for mobile applications with high performance requirements. However, migrating the mobile applications to the cloud brings about a migration delay, which is intolerable for high real-time demanding applications. This can be technically achieved by expanding mobile cloudlets, co-located with access points (AP). Then, how to deploy the cloudlet to reduce the energy consumption has become a part of major challenges in the current study. In this paper, we propose an energy-efficient cloudlet placement method, named ECPM, to effectively reduce the number of cloudlets, so as to achieve the energy savings. Specifically, the clustering of mobile devices at each time is obtained, and then the cloudlet will move to the clustering to achieve the best use of energy. Finally, the experimental results demonstrate that the proposed method is energy saving.

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“…During the simulation, nodes may stay static or do not frequently move [35] in the network. For example, in a wireless local area network covering a metropolitan area [51], users may only move around in a restricted area close to their homes, including the office [52], gymnasiums, and so on. As another example, defending soldiers are allowed to move in their defend areas on the battlefield [39].…”

Section: A Experimental Setupmentioning

confidence: 99%

BRAINS: Joint Bandwidth-Relay Allocation in Multihoming Cooperative D2D Networks

Chen

Dai

et al. 2018

IEEE Trans. Veh. Technol.

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As an emerging technique, cooperative device to device (CD2D) communication has been considered to be a solution to capacity shortage problem. Combining multi-homing and CD2D techniques together can potentially improve network performance. We propose a novel multi-homing CD2D (MH-CD2D) network, in which multiple homing mobile devices (MMDs) act as relays for the cooperative communications of ordinary mobile devices (OMDs). We formulate such joint bandwidth-relay allocation problem as a two-stage game, in order to deal with two challenges: 1) how to design incentive mechanisms motivating MMDs to lease spare bandwidths to OMDs; 2) how to help OMDs to choose appropriate MMD relays. In the first stage, we use a non-cooperative game to model the competition between MMDs in terms of shared bandwidth and price. In the second stage, we model the behavior of OMDs selecting MMDs by an evolutionary game.We prove that there exists Nash equilibrium in the game and propose a distributed incentive scheme named IMES to solve the joint bandwidth-relay allocation problem. Extensive simulation results show that the equilibrium can be achieved and the best response price of one MMD increases with the other's best price in the Stackelberg game. The utility of MMDs increases with the number of OMDs in each OMD group at the evolutionary equilibrium. The proposed algorithms are able to reduce average service delay by more than 25% in comparison to the randomized scheme which is frequently used in the most existing works. On average, IMES outperforms existing scheme by about 20.37% in terms of utility of MMDs.

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DOTA: Delay Bounded Optimal Cloudlet Deployment and User Association in WMANs

Cited by 39 publications

References 10 publications

Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks

Hierarchical MEC Servers Deployment and User-MEC Server Association in C-RANs over WDM Ring Networks

ECPM: an energy-efficient cloudlet placement method in mobile cloud environment

BRAINS: Joint Bandwidth-Relay Allocation in Multihoming Cooperative D2D Networks

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