smart scheduling & pricing for wirless cloud networks (1)

7/27/2019 Smart Scheduling & Pricing for Wirless Cloud Networks (1)

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By Immaculate Miraculas Geetha, 3rdYear MCA


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This proposed system gives a clear picture about

wireless cloud computing system where the

wireless service provider leverage a data center

providing cloud services to its subscribers at

much attractive prices.


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To maximize the service providersprofit on a long

run, we propose a joint optimization of

scheduling and pricing decisions for delay-

tolerant batch services.


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While the existing algorithm on jointly scheduling

and pricing focuses on static or asymptotic

analysis, we develop a proven Smart

Scheduling and Pricing (SS&P) algorithm that

can be applied to an arbitrarily random

environment, which without the necessity of

predicting the future information, may follow anarbitrary path over period of time.


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When comparing the optimal offline algorithm with

future information, we prove that Smart

Scheduling and Pricing Algorithm (SS&P)

produce a close-to-optimal return while bounding

the job queue length in the data center.


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Alongside, there has been a trace-based

simulation study conducted to validate this

Smart Scheduling and Pricing Algorithm. Based on

analytical and numerical studies, we prove thattuning the control parameter appropriately can

lead to a desired tradeoff between the profit

and queuing delay.


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Also, our deeper research with respect to the

existing algorithmswhich neglect cooling system

energy consumption, demand-side management,

and/or the queue length information, revealed thatSmart Scheduling and Pricing algorithm

(SS&P) achieves maximum profit while incurring

the same average queuing delay,

approximately.


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Existing System

The existing algorithms for joint optimization

of scheduling and pricing can work for limitedcapacity for demand response in the smart

grid and also to develop efficient online

algorithm is a nontrivial task.


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Proposed System

The proposed system ( SS&P ) can be

extended to multiple service classes andprovide differentiated QoS in terms of the

average delay. We proposed a provably-

efficient online scheduling and pricing

algorithm, which can be implemented basedon the currently available information.

(continued..)


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Proposed System ( continued..)

We proved that, compared to the optimal

offline algorithm with future information,Smart Scheduling and Pricing algorithm

(SS&P) produces a close-to- optimal long-term profit while bounding the job queue

length in the data center.


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SOFTWARE REQUIRMENTS

Front End : ASP.net

Environment : Visual Studio 2008 or 2010

Back End : SQL Server 2005

Operating System : Windows XP


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HARDWARE REQUIRMENTS

Processor : Pentium IV RAM : 512 MB

Hard Disk : 80 GB


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THANK YOU

smart scheduling & pricing for wirless cloud networks (1)

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