Cloud-based Mobile Web Service Discovery framework with semantic matchmaking approach

Saadon, Nor Azizah; Mohamad, Radziah

doi:10.1109/mysec.2014.6985999

Cited by 7 publications

(12 citation statements)

References 15 publications

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“…In the cloud mediated technique, the emphasis on the need to ease off the resource burden that is associated with service discovery operations by utilizing the cloud as a ubiquitous interface to bridges the computationally intensive requirements between mobile requesters and providers. As reported in [31], [33], studies that adopted such an approach used the technique of offloading computationally intensive tasks to the cloud, based on device context information. This approach seeks to enhance the efficiency and effectiveness of service discovery in AMEs by using conventional semantic and ontology-based service discovery and matchmaking algorithms that are usually too resource-intensive for mobile devices.…”

Section: B the Cloud Mediated Approachmentioning

confidence: 99%

“…In the reviewed papers, diverse context parameters were used to compute a weighted relevancy score that is then used to rank the services in the order of suitability to the user. For example, user preferences and device capabilities were used to rank service in [2], [31], [33], [35], [41], [43], while a QoS-based ranking was adopted in [40], [47].…”

Section: Service Relevancy Factormentioning

confidence: 99%

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Service Discovery in Mobile Ad-Hoc Environments: A Solution Space Analysis

Mutanga¹

2020

IJETER

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The rapid and pervasive growth of Cloud computing and SOA has given rise to a lot of other remarkable offshoots. One interesting feature of this trend has been the emergence of the Ad-hoc Mobile Cloud (AMC) paradigm. Ad-hoc Mobile Cloud allows users to collaborate and share web services in a platform that enables mobile devices to play the role of service providers. This peculiar functional architecture that relies on resource-limited devices to host and perform discovery operations introduces another dimension to the service discovery challenge in conventional mobile environments. The conventional Cloud and Mobile Cloud environments leverage on the limitless cloud storage and computing power, therefore, techniques designed for such environments are generally resource-unaware. Consequently, the traditional service discovery mechanisms designed for Cloud computing cannot be adopted into AMC. In this review, we present an analysis of how service discovery solutions in Ad-hoc Mobile Cloud have adapted to meet the unique challenges of this resource-constrained environment. We classified, at a generic level, the solution space of the current service discovery techniques in Ad-hoc mobile cloud, and the identify opportunities for advancing research in the domain.

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Section: B the Cloud Mediated Approachmentioning

confidence: 99%

Section: Service Relevancy Factormentioning

confidence: 99%

Service Discovery in Mobile Ad-Hoc Environments: A Solution Space Analysis

Mutanga¹

2020

IJETER

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“…Saadon et al [19] proposed CMDis, an enhancement of cloud-based MWS discovery framework, with semantic-based matchmaking approach. In their work, semantic lightweight web service descriptions were used with a REST-based architecture.…”

Section: Related Workmentioning

confidence: 99%

Analysis of Dynamic Web Services: Towards Efficient Discovery in Cloud

Ahmad¹,

Sarkar

2016

MJCS

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Web services are very dynamic as they can be added, modified and deleted from the repository on the fly. Discovering web services for service composition have special requirements. In the service composition, service requirement is not only to satisfy its functional specification but it also needs to ensure that the selected composing services are compatible with respect to their input/output structure and its associated data types. Web Service community [1] organized the functionally similar services together in a group. But one important drawback of using web service community in the service composition is that it requires further analysis of the discovered service communities for selecting appropriate service which can be composed based on its input/output structure and data types. This paper proposes data structures, which can be used to create web service family [2] by filtering not only on the basis of functionality but also on the basis of its input/output structure, which are required for composing services with one another. In order to speed up the web service family creation process, the creation of web service family is divided in two phases. The first phase of the proposed approach introduces a novel concept of business family and dynamic business web service (DBWS) tree, which are used to organize all web services in the tree structure on the basis of their business context and input/output structure. In the second phase, the concept of DBWS tree is used further to create the web service families. The DBWS resembles the classification and organization of businesses in NAICS. The DBWS tree can be used very efficiently for creating web service families, which in turn can be used for selecting service efficiently in service composition.

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“…For example, today, over 80% of the world's population had access to various smart devices that are interestingly more advanced in functionalities than the traditional mobile phone used to store media to tools for accessing media from other devices. Both in terms of capability and functionality, smart devices are getting increasingly powerful such that they can now accomplish more advanced tasks such as accessing applications and value-added services offered remotely [8], [9] [10], [9]. Moreover, while one of the most crucial challenges facing mobile Web service provisioning, in general, has been the inability to run or at least the resource implications of running semantic-based service discovery algorithms on resource-constrained devices [9], [11].…”

Section: Introductionmentioning

confidence: 99%

“…Both in terms of capability and functionality, smart devices are getting increasingly powerful such that they can now accomplish more advanced tasks such as accessing applications and value-added services offered remotely [8], [9] [10], [9]. Moreover, while one of the most crucial challenges facing mobile Web service provisioning, in general, has been the inability to run or at least the resource implications of running semantic-based service discovery algorithms on resource-constrained devices [9], [11]. However, in a scholarly study, Bobed et al [12] interestingly demonstrated the feasibility of running Description Logics (DL) reasoners on Android-based smart devices.…”

Section: Introductionmentioning

confidence: 99%

Mobile Web Service Discovery: A Cloudlet Mediated Framework

Mutanga¹

2022

jreas

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The mobile web services paradigm (MWS) promises anywhere and all-time availability of services by leveraging the proliferation of smart devices with advanced capabilities. Consequently, research is focusing on ad-hoc mobile cloud, which extends the functional and architectural scope of MWS to include platforms for offering inexpensive and collaborative services co-hosted and discovered among peer devices. Existing solutions to the service discovery challenge posed by such dynamic environments predominantly focus on algorithms that adopt context-based lightweight service discovery mechanisms. But such a focus pays less attention to the architectural perspective of the service discovery problem. This paper contextualized and discussed the emerging context and complexity of the MWS discovery challenge under two key subjects: operational effectiveness and functional efficiency, which then foregrounds the proposed MWS discovery framework. The framework is analyzed based on hypothetical usage scenarios, demonstrating a robust architectural approach to MWS discovery.

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Cloud-based Mobile Web Service Discovery framework with semantic matchmaking approach

Cited by 7 publications

References 15 publications

Service Discovery in Mobile Ad-Hoc Environments: A Solution Space Analysis

Service Discovery in Mobile Ad-Hoc Environments: A Solution Space Analysis

Analysis of Dynamic Web Services: Towards Efficient Discovery in Cloud

Mobile Web Service Discovery: A Cloudlet Mediated Framework

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