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System of Systems for Quality of Service Observation and Response in Cloud Computing Environments
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System of Systems for Quality - of - Service Observation and Response in Cloud Computing Environments

Category : Cloud Computing


Sub Category : DOTNET


Project Code : ITDCC22


Project Abstract

SYSTEM OF SYSTEMS FOR QUALITY-OF-SERVICE OBSERVATION AND RESPONSE IN CLOUD COMPUTING ENVIRONMENTS

 

 

ABSTRACT

 

       As a cloud computing systems refers to the demand delivery of IT resources via the internet with pay as you go pricing. A cloud offers many services to the end users such as software, infrastructure and platform go on. Along with these opportunities come challenges, particularly to service providers and operations centers that struggle to monitor and manage quality of service (QoS) for these services in order to meet customer service commitments. Traditional approaches fall short in addressing these challenges because they examine QoS from a limited perspective rather than from a system-of-systems (SoS) perspective applicable to a net-centric enterprise system in which any user from any location can share computing resources at any time. This paper presents a SoS approach to enable QoS monitoring, management, and response for enterprise systems that deliver computing as a service through a cloud  computing   environment.

Service is often considered, such as error rates, bandwidth, throughput and transmission delay.

Cloud computing provides one possible method to meet this challenge by reducing cost through shared computing resources while distributing data to multiple end users efficiently. A concrete example is provided for application of this new SoS approach to a real-world scenario (viz., distributed denial of service). Simulated results confirm the efficacy of the approach. Present approaches to mitigate these issues are not sufficient to ensure quality of service (QoS) for end users. a complex cloud computing environment is subjected to a distributed denial-of- service (DDoS) attack. Section V details the experimental results obtained in the prototype system created to verify the SoS approach.

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

In existing fall in short addressing technique, Qos specification and monitoring is widely using a cloud services, while the usual quality metrics such as uptime and reliability in the context of the cloud systems.  

Qos parameter and their evolution always using multiple metrics, give a positive solutions making for decision in cloud systems and assist to the cloud providers.

 

PROPOSED CONCEPT:-

Qos enterprises monitoring, management and response architecture (EMMRA) to provide identify points within the administrative domains. This framework is multidimensional to enable an end to end view of the system and also to measure response time and through put in our cloud computing.

In SOS approach making very sensitive information about cloud environments. Here end users who accessing his data as fully credential to him. In these cloud environments prevents from DDoS and to provide more security.

EXISTING TECHNIQUE:-

Qos metrics

PROPOSED TECHNIQUE:-

System of Systems (SoS) with EMMRA technique

TECHNIQUE DEFINITION:-

Service is often considered, such as error rates, bandwidth, throughput and transmission delay.

TECHNIQUE DEFINITION:-

System of systems is a collection of task-oriented or dedicated systems that pool their resources and capabilities together to create a new, more complex system which offers more functionality and performance than simply the sum of the constituent systems.

DRAWBACKS:-

Not accurate to define QoS.

Not efficient to observe response time and throughput

ADVANTAGES:-

More accurate and security.

More efficient.

 
 
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