Research on the Implementation Mechanism of Service Components in Partitioned RTOS for Avionics

Bioinformatics traditionally concerns applying computational approaches for the management and the exploitation of large volumes of biomedical data that continues to expand in size and in distribution. Although the application of cloud computing in biomedical areas is still preliminary, an increasing number of biomedical applications rely on the Cloud for processing large datasets. This chapter investigates the extent to which cloud technology offers a viable platform for developing and deploying applications that support users in searching and integrating information offered by bioinformatics resources. The chapter outlines the basic features that such computing applications should exhibit and the challenging issues they deal with. The architecture and the functionality of the cloud-based environments are presented to stress how cloud platforms could offer added-value service components and flexibility that make their adoption attractive for bioinformatics.

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Concerns and Challenges of Cloud Platforms for Bioinformatics

Encyclopedia of Information Science and Technology, Fourth Edition ◽

10.4018/978-1-5225-2255-3.ch040 ◽

2018 ◽

pp. 455-464

Author(s):

Nicoletta Dessì ◽

Barbara Pes

Keyword(s):

Cloud Computing ◽

Biomedical Applications ◽

Large Datasets ◽

Added Value ◽

Biomedical Data ◽

Computational Approaches ◽

Cloud Technology ◽

Service Components ◽

Basic Features

Bioinformatics traditionally concerns applying computational approaches for the management and the exploitation of large volumes of biomedical data that continues to expand in size and in distribution. Although the application of cloud computing in biomedical areas is still preliminary, an increasing number of biomedical applications rely on the Cloud for processing large datasets. This chapter aims investigating the extent to which cloud technology offers a viable platform for developing and deploying applications that support users in searching and integrating information offered by bioinformatics resources. The chapter outlines the basic features that such computing applications should exhibit and the challenging issues they deal with. The architecture and the functionality of the cloud-based environments are presented to stress how cloud platforms could offer added-value service components and flexibility that make their adoption attractive for bioinformatics.

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Challenges of the "Global Understanding Environment" Based on Agent Mobility

Application of Agents and Intelligent Information Technologies - Advances in Intelligent Information Technologies ◽

10.4018/978-1-59904-265-7.ch007 ◽

2011 ◽

pp. 121-152 ◽

Cited By ~ 1

Author(s):

Vagan Terziyan

Keyword(s):

Condition Monitoring ◽

Trust Management ◽

Local Environment ◽

Mobile Service ◽

Service Component ◽

Agent Platform ◽

Global Understanding ◽

Service Components ◽

Component Carrier ◽

Heterogeneous Service

Among traditional users of Web resources, industry also has a growing set of smart industrial devices with embedded intelligence. Just as humans do, smart industrial devices need online services—for example, for condition monitoring, remote diagnostics, maintenance, and so on. In this chapter, we present one possible implementation framework for such Web services. Assume that such services should be Semantic-Web-enabled and form a service network based on internal and external agents’ platforms, which can host heterogeneous mobile agents and coordinate them to perform needed tasks. The concept of a “mobile-service component” assumes not only the exchange of queries and service responses but also the delivery and composition of a service provider itself. A mobile-service component carrier (agent) can move to a field device’s local environment (embedded agent platform) and perform its activities locally. Service components improve their performance through online learning and communication with other components. Heterogeneous service components’ discovery is based on semantic P2P search. In this chapter, we discuss the Global Understanding Environment as an enabling agent-driven semantic platform for implementation of the heterogeneous industrial resources, condition monitoring, and predictive maintenance. The main challenges of such an environment are presented, which are “semantic adapters” for industrial objects, diagnostic models, exchange and integration, distributed trust management, and the concept of a human as a Web service.

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Semantic Web Services for Smart Devices Based on Mobile Agents

Mobile Computing ◽

10.4018/978-1-60566-054-7.ch054 ◽

2009 ◽

pp. 630-641 ◽

Cited By ~ 1

Author(s):

Vagan Terziyan

Keyword(s):

Web Services ◽

Semantic Web ◽

Mobile Agents ◽

Local Environment ◽

Mobile Service ◽

Service Component ◽

Agent Platform ◽

Service Components ◽

Component Carrier ◽

Heterogeneous Service

Among traditional users of Web resources, industry has a growing set of smart industrial devices with embedded intelligence. Just like humans, they need online services (i.e., for condition monitoring, remote diagnostics, maintenance, etc.). In this paper, we present one possible implementation framework for such Web services. Such services should be Semantic Web enabled and form a Service Network based on internal and external agents’ platforms, which can host heterogeneous mobile agents and coordinate them to perform needed tasks. The concept of a “mobile service component” assumes not only exchanging queries and service responses, but also delivering and composition of a service provider. Mobile service component carrier (agent) can move to a field device’s local environment (embedded agent platform) and perform its activities locally. Service components improve their performance through online learning and communication with other components. Heterogeneous service components’ discovery is based on semantic P2P search.

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Adjuncts to Social Casework in the 1980s

Social Casework ◽

10.1177/104438948106200401 ◽

1981 ◽

Vol 62 (4) ◽

pp. 195-200

Author(s):

Kay Schodek

Keyword(s):

Current Practice ◽

Service Components

The need for linkage among various service components, work with members of other disciplines, and a demand for accountability are all characteristics of current practice settings that require social caseworkers to expand their repertoire of skills and then to reevaluate their programs and teaching curricula.

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