Implementing and Testing a Semantic-Driven Approach Towards a Better Comprehension Between Service Consumers and Providers

Fakhfakh, Kaouthar; Tazi, Saïd; Drira, Khalil; Chaari, Tarak; Jmaïel, Mohamed

doi:10.1109/waina.2010.188

Cited by 5 publications

(5 citation statements)

References 9 publications

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“…Therefore, additional time is necessary. The SLA negotiation can use ontology to realize the automatic SLA matches and then select the adequate service providers [ 40 , 41 , 42 ]. Apparently, the SLA mapping is a key component because it is mainly responsible for bridging the differences of SLAs [ 43 , 44 ].…”

Section: Related Workmentioning

confidence: 99%

Integrated Resource Management for Fog Networks

Yang

2022

Sensors

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In this paper, we consider integrated resource management for fog networks inclusive of intelligent energy perception, service level agreement (SLA) planning and replication-based hotspot offload (RHO). In the beginning, we propose an intelligent energy perception scheme which dynamically classifies the fog nodes into a hot set, a warm set or a cold set, based on their load conditions. The fog nodes in the hot set are responsible for a quality of service (QoS) guarantee and the fog nodes in the cold set are maintained at a low-energy state to save energy consumption. Moreover, the fog nodes in the warm set are used to balance the QoS guarantee and energy consumption. Secondly, we propose an SLA mapping scheme which effectively identifies the SLA elements with the same semantics. Finally, we propose a replication-based load-balancing scheme, namely RHO. The RHO can leverage the skewed access pattern caused by the hotspot services. In addition, it greatly reduces communication overheads because the load conditions are updated only when the load variations exceed a specific threshold. Finally, we use computer simulations to compare the performance of the RHO with other schemes under a variety of load conditions. In a word, we propose a comprehensive and feasible solution that contributes to the integrated resource management of fog networks.

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Section: Related Workmentioning

confidence: 99%

Integrated Resource Management for Fog Networks

Yang

2022

Sensors

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“…These efforts can be classified into two approaches: SLA ontologies and SLA mapping approaches [14]. The former approaches [15][16][17][18][19] require the cloud consumer to use an SLA specification language to define his SLA (called private SLA). Then, the service provider creates an SLA based on the consumer's private SLA.…”

Section: Related Workmentioning

confidence: 99%

A framework to address inconstant user requirements in cloud SLAs management

et al. 2014

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Dynamically managing service level agreements (SLAs) is a non-trivial issue for both active media technology users and providers. Cloud computing is considered as one of the significant components of the rapidly emerging active media in the current era. As the technology grows rapidly, cloud computing requirements and techniques also change over time, while the current cloud SLA management methods are rigorous in terms of SLA contents updates with the technology innovation and user requirement change. In other words, public SLAs are used as templates, and when issuing a new SLA, it is necessary to map its requirements to all public SLAs. In addition, updating any consumer's SLA requires a cumbersome process of remapping their changed requirements to all public SLAs. This paper proposes a cloud computing SLA management mechanism based on the real options analysis concept to manage cloud SLAs in a dynamic manner. At the beginning, or when issuing a new SLA, the proposed framework receives a new user's requirements and maps these to all public SLAs, while executes only the most appropriate SLA based on options analysis and records/marks the other related solutions (SLAs) for future analysis to address any further change due to internal/external factor. This also provides a mechanism to effectively counter uncertainty parameters triggering dynamic change in cloud SLA management. The framework was deployed using Web SLA and Java followed by an experimental study to evaluate the efficacy and scalability of the proposed framework. The results show that the proposed framework provides efficient and scalable cloud SLA management mechanism.

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“…Several works deal with autonomic QoS matching in various distributed environments (e.g., [7], [8], [9], [10], [11]). Similarly to our approach, these works also focus on matching requirements of different SLAs.…”

Section: Related Workmentioning

confidence: 99%

“…The most common solution for these issues in research is creation of SLA ontologies [7], [8], [9], [10], [11]. However, although ontologies may solve the problem for a static set of SLA elements by forcing market participants to specify the semantics of their requirements, they do not solve the problem of dynamic user base and ever-changing requirements for services.…”

Section: Introductionmentioning

confidence: 99%

Automatic SLA Matching and Provider Selection in Grid and Cloud Computing Markets

Redl

Breskovic

Brandić

et al. 2012

2012 ACM/IEEE 13th International Conference on Grid Computing

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Abstract-Cloud computing is a novel computing paradigm that offers data, software, and hardware services in a manner similar to traditional utilities such as water, electricity, and telephony. Usually, in Cloud and Grid computing, contracts between traders are established using Service Level Agreements (SLAs), which include objectives of service usage. However, due to the rapidly growing number of service offerings and the lack of a standard for their specification, manual service selection is a costly task, preventing the successful implementation of ubiquitous computing on demand. In order to counteract these issues, automatic methods for matching SLAs are necessary. In this paper, we introduce a method for finding semantically equal SLA elements from differing SLAs by utilizing several machine learning algorithms. Moreover, we utilize this method to enable automatic selection of optimal service offerings for Cloud and Grid users. Finally, we introduce a framework for automatic SLA management, present a simulation-based evaluation, and demonstrate several significant benefits of our approach for Cloud and Grid users.

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Implementing and Testing a Semantic-Driven Approach Towards a Better Comprehension Between Service Consumers and Providers

Cited by 5 publications

References 9 publications

Integrated Resource Management for Fog Networks

Integrated Resource Management for Fog Networks

A framework to address inconstant user requirements in cloud SLAs management

Automatic SLA Matching and Provider Selection in Grid and Cloud Computing Markets

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