A QoS‐aware service discovery method for elastic cloud computing in an unstructured peer‐to‐peer network

Lin, Wenqing; Dou, Wanchun; Xu, Zhezhuang; Chen, Jinjun

doi:10.1002/cpe.2993

Cited by 18 publications

(14 citation statements)

References 23 publications

(34 reference statements)

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“…Other approaches [23,24] used simple additive weight (SAW)-based methods to rank alternatives for cloud service adoption. Based on decision-making theories in [23], the authors analysed problems which might be encountered by consumers criteria during service selection process and identified solution which can be used in the process.…”

Section: Related Workmentioning

confidence: 99%

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An efficient algorithm for partially matched services in internet of services

Ahmed

Liu

Hardy

et al. 2016

Pers Ubiquit Comput

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Internet of Things (IoT) connects billions of devices in an Internet-like structure. Each device encapsulated as a real-world service which provides functionality and exchanges information with other devices. This largescale information exchange results in new interactions between things and people. Unlike traditional web services, internet of services is highly dynamic and continuously changing due to constant degrade, vanish and possibly reappear of the devices, this opens a new challenge in the process of resource discovery and selection. In response to increasing numbers of services in the discovery and selection process, there is a corresponding increase in number of service consumers and consequent diversity of quality of service (QoS) available. Increase in both sides' leads to the diversity in the demand and supply of services, which would result in the partial match of the requirements and offers. This paper proposed an IoT service ranking and selection algorithm by considering multiple QoS requirements and allowing partially matched services to be counted as a candidate for the selection process. One of the applications of IoT sensory data that attracts many researchers is transportation especially emergency and accident services which is used as a case study in this paper. Experimental results from real-world services showed that the proposed method achieved significant improvement in the accuracy and performance in the selection process.

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Section: Related Workmentioning

confidence: 99%

“…To measure the performance, the algorithm was compared to the algorithm in [24] which used the probabilistic flooding-based method, by combining simple additive weighting (SAW) technique and Skyline filtering. In addition, it was compared to SPSE algorithm, which uses the pareto optimal-based solution method [25].…”

Section: Performance Measurementmentioning

confidence: 99%

An efficient algorithm for partially matched services in internet of services

Ahmed

Liu

Hardy

et al. 2016

Pers Ubiquit Comput

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show abstract

“…Based on this, they proposed a manual trust model and an automatic trust model that remove the influence of additional factors on reputation to truly reflect node trust. In [15], the authors proposed a QoS-aware service discovery method which can be applied in P2P-based cloud environments. In their method, peer nodes engaged in P2P network are firstly registered to its neighbours in a flooding way, and then the QoS-aware service discovery is promoted in a probabilistic flooding way according to the network traffic.…”

Section: Related Workmentioning

confidence: 99%

A Novel Replication Model with Enhanced Data Availability in P2P Platforms

Zhang¹

2016

IJGDC

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“…This special issue contains nine papers based on those that were presented at WMSC2010. They are listed as . Research problems in these papers have been analysed systematically, and for specific approaches or models, evaluation has been performed to demonstrate their feasibility and advantages.…”

mentioning

confidence: 99%

“…This paper is about service discovery in elastic cloud computing environment. A QoS‐aware service discovery method is investigated for elastic cloud computing in an unstructured P2P network.…”

mentioning

confidence: 99%

Special issue: second international workshop on workflow management in service and cloud computing (WMSC2010)

Chen

Ranjan

2013

Concurrency and Computation

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Workflow management in distributed computing environments has been under investigation for several years [2][3][4][5][6][7][8]. In particular, the special issue titled Workflow in Grid Systems in Concurrency and Computation: Practice and Experience was a key step [7]. The special issue was edited by Professor Geoffrey C. Fox and Professor Dennis Gannon from Indiana University in USA. A follow-up were the special issues in the same journal for WSGE2006 (first International Workshop on Workflow Systems in Grid Environments), WaGe2007, WaGe2008 and ICWM2009 [9][10][11][12]. This WMSC2010 special issue is another follow-up of those special issues in order to further boost the research and development of workflow management and applications.Many research and development efforts have been made in the field of workflow management and applications in distributed service and cloud environments such as [2-8, 13-21]. More and more people from different areas are trying to facilitate the techniques from their respective areas to tackle tough issues in workflow management such as resource scheduling, security, computation reduction, service discovery and composition and data service query issues. Following the special issue of ICWM2009, this special issue continues to accommodate a range of papers from different perspectives and areas such as service computing, cloud computing, authentication/security in order to provide some different views and hints for workflow management research.This special issue contains nine papers based on those that were presented at WMSC2010. They are listed as [22][23][24][25][26][27][28][29][30]. Research problems in these papers have been analysed systematically, and for specific approaches or models, evaluation has been performed to demonstrate their feasibility and advantages. The nine papers were selected on this basis and also peer reviewed thoroughly. They are summarised in the succeeding text. This paper [22] is a workflow scheduling in dynamic grid environment. The paper defines the workflow scheduling problem and describes the existing heuristic and meta-heuristic-based workflow scheduling strategies in Grids. Then, we propose a dynamic critical path-based adaptive workflow scheduling algorithm for Grids, which determines efficient mapping of workflow tasks to Grid resources dynamically by calculating the critical path in the workflow task graph at every step. Corresponding evaluation is conducted to demonstrate the performance. This paper [23] is about service discovery in elastic cloud computing environment. A QoS-aware service discovery method is investigated for elastic cloud computing in an unstructured P2P network. The method is deployed by two phases, that is, service registering phase and service discovery phase. More specifically, for a peer node engaged in the unstructured P2P network, it firstly registers its

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A QoS‐aware service discovery method for elastic cloud computing in an unstructured peer‐to‐peer network

Cited by 18 publications

References 23 publications

An efficient algorithm for partially matched services in internet of services

An efficient algorithm for partially matched services in internet of services

A Novel Replication Model with Enhanced Data Availability in P2P Platforms

Special issue: second international workshop on workflow management in service and cloud computing (WMSC2010)

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