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Automating Cloud Services Life Cycle through Semantic Technologies
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Automating Cloud Services Life Cycle through Semantic Technologies

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC 23


Project Abstract

AUTOMATING CLOUD SERVICES LIFE CYCLE

THROUGH SEMANTIC TECHNOLOGIES    

 

ABSTRACT

 

We propose a novel approach to maintain the virtual services in cloud is an open challenge. Traditional software project management system are not include the cloud computing domain, where software (and other) services are acquired on demand. In this paper, we describe a new integrated methodology for the life cycle of IT services delivered on the cloud and demonstrate how it can be used to represent and reason about services and service requirements and so automate service acquisition and consumption from the cloud. We have divided the IT service life cycle into five phases of requirements, discovery, negotiation, composition, and consumption. We detail each phase and describe the ontology’s that we have developed to represent the concepts and relationships for each phase. To show how this life cycle can automate the usage of cloud services, we describe a cloud storage prototype that we have developed.

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

 In earlier most of the services are delivered as web services providing a singular functionality. Often, the onus is on the consumer to procure these web services individually and then integrate them per the requirements.

There has been some work in creating brokers that would perform this functionality. However, such brokers work only on a fixed, linear description of service functionality which often fails to capture the complete requirements of the service needed, and the flexibility to the consumer.

PROPOSED CONCEPT:-

We present a methodology to address the life-cycle issue for virtualized services delivered from the cloud. We use semantically rich descriptions of the requirements, constraints, and capabilities that are needed by each phase of the life cycle.

This methodology is  focused on automating processes needed to procure ser ices on the cloud and service-level agreements (SLA) is to permit distributed clients and cloud service providers.

EXISTING TECHNIQUE:-

Ontology

PROPOSED TECHNIQUE:-

Web Ontology Language for Services

TECHNIQUE DEFINITION:-

The model generates probabilistic proofs of possession by sampling random sets of blocks from the server, which drastically reduces I/O costs. The client maintains a constant amount of metadata to verify the proof.

TECHNIQUE DEFINITION:-

OWL-S allows service providers or brokers to define their services based on agreed upon ontologies that describe the functions they provide. We have integrated the OWL-S ontology into our ontology.

DRAWBACKS:-

Web services based on intermediate brokers in the cloud environment.

Web services providing a singular functionality only not to be collaborate.

ADVANTAGES:-

It supports interoperability at both the syntactic and semantic levels. 

Web services providing multiple functionalities by integrating each others.


 

 
 
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