Decentralized learning for self-adaptive QoS-aware service assembly

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

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Self-Adaptive QoS-Aware Web Service Discovery using Ontology Approach

International Journal of Grid and High Performance Computing ◽

10.4018/ijghpc.2015070105 ◽

2015 ◽

Vol 7 (3) ◽

pp. 65-84 ◽

Cited By ~ 2

Author(s):

Nwe Nwe Htay Win ◽

Bao Jianmin ◽

Cui Gang ◽

Saif Ur Rehman

Keyword(s):

Web Service ◽

Service Discovery ◽

Feasible Solution ◽

Evaluation Criteria ◽

Discovery Process ◽

Web Service Discovery ◽

User Request ◽

Adaptive Qos ◽

Concept Attribute ◽

Self Adaptive

In recent years, although semantic has been widely used in service discovery mechanisms, it still needs to exploit all semantic aspects included in service documents so that the discovered service can highly be relevant with user request. Moreover, it also needs to consider self-adaptability in discovering the services which can adapt to searching conditions or parameters in order to find other suitable and potential services if no feasible solution could exactly satisfy user QoS requirements. Therefore, this paper proposes a novel self-adaptive QoS-based service discovery mechanism which can adapt the discovery process with the help of semantically structured ontology trees if unexpected results are encountered. The discovery process matches the equivalences between service advertisement and requirement using three similarity evaluation criteria namely concept, attribute and constraint similarity. This discovery process is repeated until feasible solution is found and a set of most suitable services are returned to the users. The authors prototype their system called SQoSD to evaluate the efficiency and adaptability compared with OWLS-CPS and RQSS. The experimental results prove that our mechanism is superior to the other compared mechanisms.

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SAR — A self-adaptive QoS aware network layer framework

2011 RoEduNet International Conference 10th Edition: Networking in Education and Research ◽

10.1109/roedunet.2011.5993698 ◽

2011 ◽

Author(s):

Bogdan Iancu ◽

Vasile Dadarlat ◽

Adrian Peculea ◽

Emil Cebuc ◽

Cosmin Ardelean

Keyword(s):

Network Layer ◽

Adaptive Qos ◽

Self Adaptive

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A Self-Adaptive QoS Guarantee Scheme for Multimedia Sensor Networks

International Journal of Distributed Sensor Networks ◽

10.1155/2010/316342 ◽

2010 ◽

Vol 6 (1) ◽

pp. 316342 ◽

Cited By ~ 1

Author(s):

Yan Sun ◽

Huadong Ma ◽

Liang Liu

Keyword(s):

Sensor Networks ◽

Transport Layer ◽

Application Layer ◽

Simulation Experiments ◽

Qos Guarantee ◽

Multimedia Sensor Networks ◽

Qos Guarantees ◽

Media Stream ◽

Adaptive Qos ◽

Self Adaptive

In multimedia sensor networks, there may exist simultaneously two streams: end-to-end stream and event-to-sink stream. It brings a new set of challenges for QoS guarantees in multimedia transmission. In this paper, we first present a self-adaptive QoS guarantee scheme based on two-layer feedback. In transport layer, we partition network into 10 typical states and design a transport protocol, which makes the state transition to the optimal one. Moreover, we design a revenue structure of media stream to describe the relation between QoS and multimedia capturing approaches in the application layer, thus evaluating the optimal scheme of capturing multimedia according to multimedia packet generation ratio calculated by transport layer. A series of simulation experiments using NS2 are performed to demonstrate the effectiveness of our proposed scheme.

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