Service Discovery Technologies Research Articles

An Evaluation of Ubiquitous Service Discovery and Remote Management in Ad-Hoc Networks

Due to the rise of ubiquitous computing, issues around the discovery of new services have become a hot topic in the academic community. This is because futuristic ubiquitous computing frameworks as well as unsupervised Ad hoc systems will require service discovery. Automatically discovering network services and their characteristics, as well as dynamically advertising their persistence, are both possible with service discovery. Multiple service discovery technologies, including Service Discovery Protocols (SDP) runners, Universal Plug and Play (UPnP), Service Location Protocol (SLP), and Jini, have been suggested. In this paper, we detail the process of service discovery and control using Ubiquitous Remote Manager (URM), a system for remote and autonomous management of home gateways that allows for more system simplicity and finer grained command of the underlying network in a ubiquitous computing setting. Ubiquitous Service Discovery (USD) is a key component of the infrastructure of the smart homes of the future. USD's goal is to locate the most suitable service, given the user's preferences and needs, in a pervasive and extensive setting.

A Service Discovery Algorithm Based on Network Topology Management

In view of the current development trend of Web service discovery technology and based on the service discovery method of formal concept analysis, the paper puts forward a service discovery algorithm based on QuickPeer, which exploits the idea of P2P network topology management to manage the formal concept of Web service in order to optimize the existing service discovery algorithm.

A Generic Query Model for the Unified Discovery of Heterogeneous Services

In this paper, we propose Proteus, a generic query model for the discovery of operations offered by heterogeneous services. We demonstrate the need for such a model, and show how it unifies the task of service discovery through abstractions, which allow for the technology-independent formulation of service advertisements, queries, and query responses. On top of these generic elements, we build an intuitive, fuzzy-based query evaluation mechanism that supports the service matchmaking process by employing and appropriately combining existing similarity metrics. Thanks to the generality of Proteus, it is possible to seamlessly accommodate the discovery of operations provided by various types of services without the need of changing the existing service infrastructure. Thus, our approach is applicable to a variety of settings ranging from traditional web services to service-oriented grids, peer-to-peer networks, geospatial information systems, and so on. Overall, compared to the existing query models supported by standard service discovery technologies, our approach is marked by openness, flexibility, and improved performance in terms of precision and recall. The feasibility and efficiency of Proteus are verified by a series of experiments.

A survey of service Discovery Architecture of MANET with AODV-SD

Mobile Adhoc Network (MANET) is network of a no. of mobile routers and associated hosts, organized in a random fashion via wireless link. MANET has been widely used for not only military purposes but for search-andrescue operations, intelligent transportation system, data collection, virtual classrooms and ubiquitous computing. There are various Issues in MANET like Routing, MAC Layer issues, Transport protocol, QoS, Data Mgt. And Security etc. from them Service Discovery is one of the most important issues in MANET. Service discovery technologies are exploited to enable services to advertise their existence in a dynamic way, and can be discovered, configured and used by other devices with a minimum of manual efforts. Most of the service discovery protocols such as DEAPspace, UPnP, Konark, Salutation, Jini, and SLP. These protocols don’t provide an appropriate route from consumer to service provider. Hence after services are discovered, a route request needs to be initiated in order to access the service. In this paper proposing an efficient, robust and flexible approach to service discovery for MANET that not only discovers a service provider, but at the same time, it also provides a route to access the service.

Network Service Description and Discovery for High-Performance Ubiquitous and Pervasive Grids

Ubiquitous and pervasive Grid computing is an emerging computing paradigm that will have a significant impact on the next-generation information infrastructure. Communication networks form a significant integrant of ubiquitous and pervasive Grids and must be utilized effectively by the Grids. The notion of Grid network service may greatly facilitate integrating networking systems into the Grid architecture, and network service description and discovery play a crucial role in the network-Grid integration. Current service description and discovery technologies must be enhanced to meet the special requirements of network service description and discovery for high-performance ubiquitous and pervasive Grids. Network service description needs a model for service provisioning capability and network service discovery must be able to select those networks that meet certain performance requirements. The wide variety of networking systems in ubiquitous and pervasive Grids require general and flexible network service description and discovery approaches that are applicable to heterogeneous networks. The research presented in this article aims at developing network service description and discovery technologies for high-performance ubiquitous and pervasive Grid computing. The main contributions of this article include a general model for describing service capabilities of various networking systems, a service discovery technology for selecting network services that meet the performance requirements specified by Grid applications, and a resource allocation scheme for Grid network services to provide networking performance guarantees. The developed model and technologies are general and flexible; thus are applicable to the wide variety of heterogeneous networks in ubiquitous and pervasive Grid computing environments.

Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services

SERVICE-ORIENTED computing is gaining momentum as the next technological vehicle to leverage the huge investments in web application development. Web services are poised to take center stage as part of this adoption [4]. The ever-increasing number of web services will have the effect of transforming the web from a data-oriented repository to a service-oriented repository, also known as the Service Web [1]. In this new paradigm, existing business logic would be wrapped as web services to be accessible on the web via a web services middleware [2]. As the number of web services is expected to substantially increase, this would have the effect of introducing competition among web services that offer similar functionalities. Service users are enabled to select the “best” web services and/or their combinations with respect to their expected quality, such as price, response time, and reputation. There is a need to provide a sound framework to organize web services. This would form as a platform to query web services. Building this framework is especially important due to the ever-increasing large and heterogeneous web service deployment. A key ingredient of such a service framework is a formal service query model that can capture the key features of services to filter interactions and accelerate service searches. The query models must be congruent with the dynamic, active, autonomous, and highly heterogeneous nature of web services and their environment. Query languages and efficient selection techniques can then be developed once such a service model is in place. Existing service discovery technologies, such as service registries and service search engines, mainly support the simple keyword-based search on web services. However, keyword search cannot always precisely locate web services, partially because of the rich semantics embodied in these services. Due to the ambiguity of the keywords, which are typically described using natural language, either too many irrelevant services may be returned or some highly relevant services may be missed. As a key facilitator for application outsourcing, a common usage pattern of web services is to be programatically integrated into other applications (e.g., a travel package, navigation system, etc.). This further requires a service query mechanism that is more precise and reliable than keyword-based search. Query processing on web services is a novel concept that goes beyond the traditional data-centric view of query processing, which is mainly performance centered. It focuses on user quality parameters to select multiple services that are equivalent in functionality but exhibit a different quality of web service [3]. This special issue provides insights into the latest research on web service querying and efficient selection. Five articles were selected through a rigorous review process. They cover a set of key research topics including modeling techniques for web services, service query languages, algorithms for efficient service selection, as well as quality of web service modeling and quality-based service selection. The article by Skoutas et al., “Ranking and Clustering Web Services Using Multicriteria Dominance Relationships,” proposes a service selection framework that integrates the similarity matching scores of multiple parameters obtained from various matchmaking algorithms. The framework relies on the service dominance relationships to determine the relevance between services and users’ requests. Instead of using a weighting mechanism, the dominance relationship adopts a multi-objective strategy that simultaneously considers the matching scores of all the parameters for ranking the relevant services. A clustering algorithm is also proposed that captures the trade-offs among different parameters with respect to the considered matching criteria. The article by Grigori et al., “Ranking BPEL Processes for Service Discovery,” proposes a service discovery approach based on behavioral descriptions expressed in BPEL. Behavioral matchmaking goes beyond interface matchmaking as it considers the constraints on the invocation order of operations in service interfaces. Graph matching algorithms are applied, which enable the delivery of approximate behavioral matches. The article by Michlmayr et al., “End-to-End Support for QoSAware Service Selection, Binding, and Mediation in VRESCo,” describes a runtime environment for serviceoriented computing, called VRESCo. The proposed VRESCo framework provides a service metadata model. Service discovery and selection approaches are developed using this model. In addition, other important issues, such as QoS monitoring, dynamic binding, and service mediation, are addressed. The article by Barhamgi et al., “A Query Rewriting Approach for Web Service Composition,” proposes a service querying approach to compose dataproviding services. The data-providing services are modeled as RDF views over a mediated ontology specified in RDF to capture the consensual and shared knowledge in a IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 3, NO. 3, JULY-SEPTEMBER 2010 161

Integrating service discovery technologies in OSGi platform

This paper describes the service discovery and interaction for home network devices using heterogeneous standards and protocols. OSGi was proposed to allow several kinds of services coming from different providers to be loaded and run on a gateway. We present a residential gateway based on the OSGi architecture for a smart home network. We combine the SLP SA/DA, the UPnP control point and the SIP UA into the gateway to achieve automated device discovery, registry, and management. Application examples are introduced and the implementation results show that our gateway can provide automatic heterogeneous service or device discovery, registry, and management.

A framework for discovering and classifying ubiquitous services in digital health ecosystems

A digital ecosystem is a widespread type of ubiquitous computing environment comprised of ubiquitous, geographically dispersed, and heterogeneous species, technologies and services. As a subdomain of the digital ecosystems, digital health ecosystems are crucial for the stability and sustainable development of the digital ecosystems. However, since the service information in the digital health ecosystems exhibits the same features as those in the digital ecosystems, it is difficult for a service consumer to precisely and quickly retrieve a service provider for a given health service request. Consequently, it is a matter of urgency that a technology is developed to discover and classify the health service information obtained from the digital health ecosystems. A survey of state-of-the-art semantic service discovery technologies reveals that no significant research effort has been made in this area. Hence, in this paper, we present a framework for discovering and classifying the vast amount of service information present in the digital health ecosystems. The framework incorporates the technology of semantic focused crawler and social classification. A series of experiments are conducted in order to respectively evaluate the framework and the employed mathematical model.

Research on Web service discovery technology based on semantic

Web service description and discovery technologies were researched.Then OWL-S was extended and a Web service discovery algorithm was proposed because the presently available service discovery mechanism has weaker quality of service description,less service classification,narrower match scope and lower efficiency.Web services were described using tree structure,different weights to nodes were given according to certain strategy and services were stored by classification.Web services requests were pretreated and oriented services classifications were located firstly,then the Web services were matched by using certain semantic similarity calculation method based on WordNet or HowNet and using assistant technology.The experiments prove that this algorithm has higher precision and recall than others.

OSDA: Open service discovery architecture for efficient cross-domain service provisioning

Emerging service-oriented architectures are pushing towards on-demand and “on the fly” composition of applications and business processes. In order to support service composition, the underlying infrastructure must provide a facility for on-demand discovery of services and service components. Discovery becomes challenging when services span heterogenous and independently administrated domains. For inter-domain discovery to be achieved independently of domain-specific service discovery technologies, a middleware is needed to interface between the different discovery systems. In this paper, we present a novel open service discovery architecture (OSDA) designed to serve as an open, scalable and fault-tolerant middleware for cross-domain discovery. We demonstrate the implementation of OSDA using a set of mature technologies.

Konark: a system and protocols for device independent, peer-to-peer discovery and delivery of mobile services

The proliferation of mobile devices and the pervasiveness of wireless technology have provided a major impetus to replicate the network-based service discovery technologies in wireless and mobile networks. However, existing service discovery protocols and delivery mechanisms designed for traditional infrastructure-based networks fall short of accommodating the complexities of the ad hoc environment. Konark is a service discovery and delivery protocol designed specifically for ad hoc, peer-to-peer networks, and targeted toward device-independent services in general and m-commerce oriented software services in particular. It has two major aspects-service discovery and service delivery. For discovery, Konark uses a novel decentralized, peer-to-peer mechanism that provides each device the ability to advertise and discover services in an efficient way. The approach toward service description is XML-based. It includes a description template that allows services to be described in a human and software understandable forms. A micro-HTTP server present on each device handles service delivery, which is based on SOAP. Konark provides a framework for connecting isolated services offered by proximal pervasive devices over a wireless medium.