Engineering Dissertation Writing Services and Help in UK- How Internet of Things (Iot) Influences the Productivity of The Firms
                     Research paper
HOW INTERNET OF THINGS (IOT)  
INFLUENCES THE PRODUCTIVITY 
 OF THE FIRMS
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| Peer-Reviewed | Internet of Things | Prospects of IOT | Productivity of Firms
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SHORT NOTES
You will find the best dissertation research areas / topics  
for future researchers enrolled in Engineering & Technology 
 In order to identify the future research topics, we have  
reviewed the Engineering & Technology literature (recent  
peer-reviewed studies).
This article discusses influence of Internet of Things (IoT) in 
 the production capacity of organizations and industries.
The article highlights how Internet of Things helps in  
increasing production and improving productivity within a short 
 time.
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INTERNET OF THINGS (IOT)
Internet of Things (IoT) has taken a significant role 
 in achieving the best in all sectors that once  
needed unanimous growth.
Industrial processing, agriculture, public safety,  
smart homes, smart buildings, smart mobility,  
environment monitoring, medical and health care 
 are the fields that have been enjoying an  
unimaginable uplift at all levels.
You will find the best assignments for future researchers enrolled in Engineering
and  Technology. These topics are researched in-depth at the University of Glasgow, 
UK,  Sun Yat-sen University, University of St Andrews and many more.
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APPLICATIONS OF IoT
Innumerable applications available at our  
fingertips have made people very much dependent 
 on them.
Internet of Things has great influence on the  
economy globally as it can transform many  
businesses, organizations and industries into 
 digital business.
This new model may improve efficiency, and also 
 help to strengthen the relationship between  
customers and manufacturers.
Applications of IoT
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DATA MANAGEMENT IN 
 CLOUD COMPUTING
Cloud computing offers flexibility and efficiency at every stage in big 
 data analytics – from accessing, analysing and delivering results.
With a well defined data classification policy, it can be used wherever 
 data privacy and security are the main concern.
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BIG DATA
Big data consists of both structured and unstructured data generated by 
 computers and the other connected devices.
Streams of data are generated every day in an organisation, from  
business applications to data from various sensors and tracking devices. 
 To process high volumes of data within a short period, big data requires a 
 cluster of servers that comprise a huge amount of computing resources.
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DATA COLLECTION IN CLOUD
Every business today strives to find ways to process and analyse  
perceptions from the different kinds of collected data.
Organisations expect to derive valid perceptions from the collected data to  
arrive at the most intelligent decision.
Big data offers persistent efforts to arrive at a competitive solution that will  
benefit the organisation.
Due to huge investment to procure analysis by big data, it can be out of  
reach for many organisations.
Cloud computing tool can help organisations to achieve results in a cost  
effective manner.
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INFRASTRUCTURE AS A 
 SERVICE (IAAS)
Infrastructure as a Service (IaaS) provider is one of the three main cloud 
 computing models.
It also makes their business future-ready and have prominent customers. 
 IaaS services can be utilised whenever needed, and they have to pay  
only for the used resources.
With the Internet connection, they can access resources from 
any  location.
In order to identify the future assignment topics, we have reviewed the 
assignments
(recent peer-reviewed topics) on both engineering and management
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DATA SECURITY
To protect their data from getting lost, small or large organisations
follow disaster recovery plans that suit their business models.
If an organisation has branches in different locations that follows different 
 disaster recovery plans, it turns to be time consuming and expensive.
IaaS offers a consolidated disaster recovery infrastructure that reduces 
 cost and handles difficult situations.
Organisations can access data through this cloud computing platform and 
 function as usual with email, web servers and browsers.
Multitude of hardware resources and configurations support the system 
 to run successfully.
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BENEFITS OF IAAS
The IaaS model offers lower infrastructure costs.
Organisations need not maintain hardware or network equipment or 
 replace any old equipment.
IaaS use is metered, organisations have to pay only for the capacity 
 needed at any given time.
The IaaS model demands no upfront charges, bandwidth utilisation 
 fees or minimum term commitments.
Some of the familiar IaaS cloud solution providers are: Amazon AWS, 
 Windows Azure, Google Compute Engine, Rackspace Open Cloud,  
IBM SmartCloud Enterprise, HP Enterprise Converged Infrastructure.
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FUTURE SCOPES
1. IoT has been gaining popularity over the last few years. Yet, there are  
still fundamental and conceptual issues related to its performance and 
 managing it.
2. The important thing to note is its enhanced reliability proven by  
successful delivery of crucial information. System failure or 
intrusion  threat is the biggest challenge in IoT.
3. Connectivity issues raise a doubt on the capacity of IoT for not being 
 efficient enough to transfer data from one place to another place.
4. IoT has come a long way. The present developments in a wider 
scale  have initiated a number of questions and solutions need to be 
found for  them.
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