Cloud Computing Service Composition and Search Based on Semantic

Zeng, Cheng; Guo, Xian; Ou, Weijie; Han, Dong

doi:10.1007/978-3-642-10665-1_26

Cited by 63 publications

(36 citation statements)

References 8 publications

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“…The framework in [Garg et al ] ranks cloud services according to their quality performance and weights given to each quality term according to the AHP process. Zeng et al [2009] follow a Wordnet-based approach to measure the similarity of concepts in the I/O of cloud service specifications. The federated cloud environment in [Buyya et al 2010] is able to match user quality requirements to cloud services.…”

Section: Cloud Service Matchmakingmentioning

confidence: 99%

Owards Semantic-Based Cloud Application Management

Kritikos¹,

Plexousakis²

2015

STCC

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Cloud computing promises to transform applications and services on the web into elastic and fault-tolerant software. To aid at this target, various research prototypes and products have been already proposed. However, especially with respect to the design phase of cloud-based applications, such prototypes do not enable the appropriate composition of cloud services at different levels to realise not only the functionality but also the underlying infrastructure support for such applications. Moreover, most existing prototypes and products lack the appropriate semantics to guarantee that the respective design product is the most suitable and accurate one according to the various types of user requirements posed. To this end, this article proposes a semantic cloud application management framework that addresses the aforementioned issues by relying on ontologies to semantically describe cloud service capabilities and application requirements, on semantic cloud service matchmakers considering both functional and non-functional aspects as well as on a novel cloud service composition approach which is able to perform concurrently service concretisation and deployment plan reasoning, thus catering for the different levels involved in a cloud environment and their respective dependencies by also satisfying all types of user requirements posed. The service composition approach is experimentally evaluated deriving quite promising results indicating that the state-of-the-art is advanced.

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Section: Cloud Service Matchmakingmentioning

confidence: 99%

Owards Semantic-Based Cloud Application Management

Kritikos¹,

Plexousakis²

2015

STCC

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“…In [55], a semantic-based matching method to compose Cloud services is proposed. Cloud services are endowed with semantic-enhanced input and output interfaces.…”

Section: Related Workmentioning

confidence: 99%

“…Although [55] and [56] are focused on different aspects of Cloud service compositions, they share some strong assumptions, such as: complete knowledge of the Cloudcomputing environments, and that all the web services are atomic. In addition, both [55] and [56] are centralized approaches.…”

Section: Related Workmentioning

confidence: 99%

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Agent-based Cloud service composition

2012

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Service composition in multi-Cloud environments must coordinate self-interested participants, automate service selection, (re)configure distributed services, and deal with incomplete information about Cloud providers and their services. This work proposes an agent-based approach to compose services in multi-Cloud environments for different types of Cloud services: one-time virtualized services, e.g., processing a rendering job, persistent virtualized services, e.g., infrastructure-as-a-service scenarios, vertical services, e.g., integrating homogenous services, and horizontal services, e.g., integrating heterogeneous services. Agents are endowed with a semi-recursive contract net protocol and service capability tables (information catalogs about Cloud participants) to compose services based on consumer requirements. Empirical results obtained from an agent-based testbed show that agents in this work can: successfully compose services to satisfy service requirements, autonomously select services based on dynamic fees, effectively cope with constantly changing consumers' service needs that trigger updates, and compose services in multiple Clouds even with incomplete information about Cloud participants.

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“…To address the issue of service matching in the Cloud environment in particular, Zeng et al proposed a matching algorithm which extends the keywords that describe the input and output capabilities of services by using WordNet [26]. A function is employed to evaluate the semantic similarity between the concept sets (consisting of concepts extended from the keywords) of any two services.…”

Section: Service Description and Discovery Using Semanticsmentioning

confidence: 99%

Unstructured P2P-Enabled Service Discovery in the Cloud Environment

Zhou

Shi

2010

Intelligent Information Processing V

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Abstract. As the Cloud computing appears to be part of the mainstream computing in a few years, the number of the services it provides, its users, and the requests of these services will be on the rise accordingly. To deliver satisfactory experience to Cloud users, it is essential that highly scalable techniques for service discovery should be available. We embarked on a preliminary study, in Cloud environments, on service discovery by adopting an unstructured P2P technique. In the context of Cloud computing, we start by examining proposed and deployed solutions to service discovery, discuss the methodology of developping efficient mechanisms for service description, description indexing, and query routing, and finally identify open issues.

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Cloud Computing Service Composition and Search Based on Semantic

Cited by 63 publications

References 8 publications

Owards Semantic-Based Cloud Application Management

Owards Semantic-Based Cloud Application Management

Agent-based Cloud service composition

Unstructured P2P-Enabled Service Discovery in the Cloud Environment

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