A multi-criteria network-aware service composition algorithm in wireless environments

Luo, Yuansheng; Yang, Kun; Tang, Qiang; Zhang, Jianming; Xiong, Bin

doi:10.1016/j.comcom.2012.02.009

Cited by 53 publications

(45 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To synthesize all these parameters to choose an optimal or suboptimal solution is a service composition problem [8], which is an NP-hard problem and out of the scope of this paper. Our previous works can be possible solutions [13].…”

Section: Omitted Parametersmentioning

confidence: 99%

“…In each step, the source module generated 1000 jobs. The sample interval is 4 s. The service rate is calculated by (12) or (13). The cost is calculated as follows:…”

Section: Steady Arrival Rate Simulationmentioning

confidence: 99%

“…These works are based on the assumption that the service provider can provide a description or agreement on QoS, such as the service level agreement (SLA) [7]. Except for local QoS attributes, network QoS should be considered during the decision-making procedure on selecting services [10,12,13]. Some works evaluate network delay according to the geographic locations where the services locate [26].…”

Section: Related Workmentioning

confidence: 99%

“…The QoS-aware service selection has been intensively discussed in many papers [8,9]. Recently, many research works on QoS-aware service selection in wireless mobile networks and in cloud computing have been proposed [10][11][12][13]. The success of *Correspondence: kunyang@essex.ac.uk 3 School of Computer Science and Electronic Engineering, University of Essex, Colchester Essex, UK Full list of author information is available at the end of the article these mobile systems lies in their ability to provide users with cost-effective services that have the potential to run anywhere, anytime, and on any device without (or with little) user attention [14].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

An optimal data service providing framework in cloud radio access network

Luo

Yang

Tang

et al. 2016

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

Much work has been conducted to design effective and efficient algorithms for quality of service (QoS)-aware service computing in the past several years. The wireless mobile computing and cloud computing environments have brought many challenges to QoS-aware service providing. Mobile cloud computing (MCC) and cloud radio accessing networks (C-RANs) are the new paradigms arising in recent years. This work proposes a wireless data service providing framework in C-RAN aiming to provide data service in C-RAN by a more efficient way. The efficiency is measured by cost with time constraint. An abstract formal model is built on the proposed framework, and the corresponding optimal solution is deduced theoretically using queuing theory and convex optimization. The simulation results show that the proposed optimal strategy on the optimal solution works well and has a better performance than compared one.

show abstract

Section: Omitted Parametersmentioning

confidence: 99%

“…In each step, the source module generated 1000 jobs. The sample interval is 4 s. The service rate is calculated by (12) or (13). The cost is calculated as follows:…”

Section: Steady Arrival Rate Simulationmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An optimal data service providing framework in cloud radio access network

Luo

Yang

Tang

et al. 2016

J Wireless Com Network

Self Cite

View full text Add to dashboard Cite

show abstract

“…When service requester submits complex tasks that single service in service center cannot meet their requirements, and then it needs to combine several service to form more powerful composite service to achieve the purpose of added-value of service, i.e. service composition [1,2]. During employ service composition to complete a task, a series of services are needed to be assembled according to certain flow and rule to construct a service composition path to serve the task.…”

Section: Introductionmentioning

confidence: 99%

A Method of Abstract Service Aggregation for Service Composition in Service oriented Manufacturing System

Guo¹,

Shu²

2015

Proceedings of the 5th International Conference on Advanced Design and Manufacturing Engineering

View full text Add to dashboard Cite

Abstract. Service composition, which can realize the added value of service, is the core to implement service oriented manufacturing system. The paper mainly studies the method of abstract service aggregation based on composable correlation drove by the user's service request. First, the several related definitions are illustrated. Then service aggregation algorithm is given by employing partial ordering relationship of abstract service discovered base on the composable correlation among services.

show abstract

A novel subspace method for precise carrier frequency offset estimation in multicarrier modulation scheme under multiuser environment

Chitra¹,

Kumaratharan²,

Ramesh

2020

Int J Communication

View full text Add to dashboard Cite

Summary In recent years, the demand on data communication is rapidly increasing, and there is a need of spectrally efficient modulation scheme for massive data transmissions. Multicarrier modulation (MCM) is widely used in wireless systems to support high data rate multimedia services such as audio, video, image, and data. Multicarrier code division multiple access (MC‐CDMA) is one of the MCM techniques which combines the best features of orthogonal frequency division multiplexing (OFDM) and code division multiple access (CDMA). The carrier frequency offset (CFO) due to oscillator instabilities or Doppler shifts greatly deteriorates the performance of MC‐CDMA system. Hence, the subcarriers are no longer orthogonal and introduce intercarrier interference (ICI) at the receiver. The simultaneous CFO estimation and compensation in multiuser mobile environment are a challenging task which needs to be addressed for optimum performance. The blind CFO estimation such as maximum likelihood estimation (MLE) has limited estimation range which is less than half the subcarrier spacing. Multiple signal classification (MUSIC) is the spectral estimation‐based subspace method suited for simultaneous CFO estimation in the multiuser environment. MUSIC offers precise CFO estimation only for the well‐spaced CFOs and fails to discriminate the strictly spaced CFOs. Hence, a novel subspace method is proposed in this paper to improve the estimation accuracy for closely spaced CFOs with the reduced computational complexity. Simulation results show that the proposed enhanced root MUSIC estimation outperforms MLE and MUSIC in terms of estimation accuracy, bit error rate (BER), and ICI power.

show abstract

A multi-criteria network-aware service composition algorithm in wireless environments

Cited by 53 publications

References 29 publications

An optimal data service providing framework in cloud radio access network

An optimal data service providing framework in cloud radio access network

A Method of Abstract Service Aggregation for Service Composition in Service oriented Manufacturing System

A novel subspace method for precise carrier frequency offset estimation in multicarrier modulation scheme under multiuser environment

Contact Info

Product

Resources

About