Offloading decision algorithm for 5G/HetNets cloud RAN

Chabbouh, Olfa; Rejeb, Sonia Ben; Choukair, Zièd; Agoulmine, Nazim

doi:10.1109/softcom.2016.7772164

Cited by 5 publications

(10 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, in order to fully exploit computation offloading benefits, we have to deal with two key challenges. The first one is about offloading decision, and the second one is about offloading request scheduling among available cloud resources [18]. The main contribution of this paper is the development of a whole offloading strategy for H-CRAN composed of offloading decision and task scheduling in order to improve network performances and user QoE.…”

Section: Discussionmentioning

confidence: 99%

“…In this work, we propose to address the two problems at the same time proposing a joint optimization of offloading decision and application scheduling in the edge cloud which from our viewpoint is necessary. In our previous contribution [18], we have proposed a dynamic multiparameter offloading decision scheme in order to adapt offloading decision to the current network state. In this work, we extend significantly this contribution proposing a global offloading strategy which combines offloading decision and task scheduling optimization.…”

Section: Related Workmentioning

confidence: 99%

“…It guarantees that each offloading request is executed before the application's deadline. Equation (18) expresses resources constraint. It enforces that container resources are greater than all tasks' requirements including the number of CPU, amount of memory, and network bandwidth.…”

Section: Joint Offloading Decision and Task Scheduling Mechanismmentioning

confidence: 99%

See 2 more Smart Citations

A strategy for joint service offloading and scheduling in heterogeneous cloud radio access networks

Chabbouh¹,

Rejeb²,

Choukair³

et al. 2017

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

Cloud radio access network is one of the most promising cellular networks for the next generation of mobile networks. The basic idea of cloud RAN (radio access network) is virtualizing and centralizing the intelligent part of the base station, the base band unit, and keeping remote radio heads on cell site enabling a centralized processing and management. Offloading data computation to edge cloud was proposed as a solution to deal with resource limitation while keeping a good quality of service. In this paper, we propose a strategy to jointly handle offloading decision and offloading request scheduling in cloud RAN. We aim to improve network quality of service while reducing the scheduling cost expressed in terms of overload, network delay, and migration cost. Numerical results show that the proposed approach is able to reduce the response time of the applications, mobile terminal energy consumption, and total execution cost.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A strategy for joint service offloading and scheduling in heterogeneous cloud radio access networks

Chabbouh¹,

Rejeb²,

Choukair³

et al. 2017

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the above, ( ,1) , ( ,2) , ( ,1) and ( ,2) are constants that are evaluated based on measurements that are provided in [27] [32]. Respectively, the constants correspond to the uplink baseline power, the uplink power that is associated with the transmission, the downlink baseline power, and the downlink power that is associated with receiving data.…”

Section: B Offloading Strategymentioning

confidence: 99%

“…The objective function in (26) aims at minimizing the total costs, with and used as weights to facilitate the implementation of preference. The objective is constrained by equations (27) through (32). Constraint (27) ensures that each offloading request is executed prior to the application's deadline, with identifying the worst case, namely, the case in which all tasks are sequentially executed.…”

Section: E Strategy For Scheduling Based On the Overload Costmentioning

confidence: 99%

Novel Cloud-RRH Architecture With Radio Resource Management and QoS Strategies for 5G HetNets

et al. 2020

Self Cite

View full text Add to dashboard Cite

With the increase of data traffic in the global mobile network, the limitation in resources of data computing close to the edge is becoming an important issue to resolve. This paper addresses the cloud radio access network (CRAN) in 5G HetNets architecture and proposes to take benefit of extra computing and storage resources in the edge to enable the offloading of a set of mobile user services from the remote cloud computing servers to an edge cloud computing infrastructure deployed next to remote radio heads (RRHs) to better serve mobile users and improve energy efficiency. However, this architecture poses many challenges. The first one is related to the clustering of the various deployed RRH to better serve end-users. For that, we propose a two-stage RRH clustering mechanism in order to fully exploit the benefits of C-RAN architecture. The second challenge is related to the scheduling of the offloading. Therefore, we propose a cost-based scheduling scheme (CBSS) that aims to minimize the scheduling cost while considering resource availability in the infrastructure, resource requirements from users' applications, services execution deadlines, and load balancing. The proposed solution permits us to make better offloading decisions and to improve the users' experiences. The solution was implemented in a simulator to highlight its performances and compare them with other existing approaches.

show abstract

Dynamic offloading for energy-aware scheduling in a mobile cloud

Hao

et al. 2022

Journal of King Saud University - Computer and Information Scie

View full text Add to dashboard Cite

Offloading decision algorithm for 5G/HetNets cloud RAN

Cited by 5 publications

References 13 publications

A strategy for joint service offloading and scheduling in heterogeneous cloud radio access networks

A strategy for joint service offloading and scheduling in heterogeneous cloud radio access networks

Novel Cloud-RRH Architecture With Radio Resource Management and QoS Strategies for 5G HetNets

Dynamic offloading for energy-aware scheduling in a mobile cloud

Contact Info

Product

Resources

About