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Decreasing Impact of SLA Violations: AProactive Resource Allocation Approach forCloud Computing Environments

Category : Cloud Computing


Sub Category : JAVA


Project Code : ITJCC21


Project Abstract

Decreasing Impact of SLA Violations: A Proactive Resource Allocation Approach for Cloud

Computing Environments

 

ABSTRACT

 

In this project User satisfaction as a significant antecedent to user loyalty has been highlighted by many researchers in market based literatures. SLA violation as an important factor can decrease users’ satisfaction level. The amount of this decrease Depends on user’s characteristics. Some of these characteristics are related to Quos requirements and announced to service provider through SLAs. SLA violation as an important factor can make users malcontent and decrease their satisfaction level. Amount of the decrease depends on the mentioned characteristics. Some of these characteristics are unknown for service providers and selfish users are not interested to reveal them truly. We present a new approach to reduce impact of SLA violations on users’ satisfaction level, but not by decreasing number of SLA violations as must the works in literature do. Instead we try to use characteristics of users to decrease impact of SLA violation on users’ satisfaction level.

 

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

     To illustrate applicability of our approach, we provided some numerical simulations in critical situations.

 

·   Critical situation means a condition in which a service provider has faced with unforeseen lack of resources and SLA-violation for some users is inevitable.

PROPOSED CONCEPT:-

     Our proposed approach tries to decrease impact of SLA violation through a user discrimination approach and avoid entering to complex procedure of negotiation.

   For simulations we considered five different user types and five classes of virtual machines with different reliability level labels.

 EXISTING TECHNIQUE:-

   Branch and Bound Technique

 

PROPOSED TECHNIQUE:-

     Finite Action-Set Learning Automation (FALA)

TECHNIQUE DEFINITION:-

    The branch and bound method it that is similar to the BFS method, it can be generate the sub nodes.

     Some cases the time complexity is too low in branch and bound technique, so we are using the various optimal solutions to satisfy the problem.

TECHNIQUE DEFINITION:-

     A learning automaton is an adaptive decision-making unit located in a stochastic environment
     The action selection is based on a specific Probability distribution which is updated according to environment the automaton receives by employing a particular action.

DRAWBACKS:-

     Service cost is more.

     The Quality of Service is low, because of SLA problem.

ADVANTAGES:-

     Reduce the maximum cost.

     To improve good Quality of Service (QoS).

 

 
 
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