There are 3 Steps in my assignment using proposed Algorithm:

1. Data Format Classification
2. Load Balancing
3. Energy Efficiency

Step 01:  (Data Classification)

1. Dividing the incoming data by the broker as we use that particular data which supports our assignment. This will include three big domains like Computation Intensive (Mathematical problems etc...), Data Intensive (Weather, DNA sequencing, Digital maps etc...), Security (Military data, https, some keying mechanism) based. Please use appropriate workloads and also forward the details.
2. Dividing the incoming data into various Formats of data like a).Video/HDs, b). Audio, c). Various Text formats, d). Images/maps, data etc needs to be classified in the above mentioned formats (at least 5 data formats). 

Step 02:  (Energy Efficiency)

So after 01 step is performed, step 02 needs to be implemented. The proposed algorithm must perform energy efficiency besides load balancing, so after implementation, the same is ready. Now, there is a need to calculate various factors as mentioned below in the table for the implemented algorithm which will be used for results generation purpose. 

Step 03:  (Load Balancing)

As the proposed algorithm is selected based on load balancing. Therefore after their complete implementation using Cloudsim load balancing will be achieved. 

Note: One of the paper already emailed is attached for comparison (latest for comparison), please compare the results with that paper and devise suitable/appropriate algorithm which performs well as compared to the attached and also provide the implementation details.

Overall Requirements  

1. I need separate and combined descriptive graphs as well tables of data results for all three domains in seconds (where time is applicable) as mentioned in Step 1 part 1.
2. I also need separate and combined descriptive graphs as well tables of data results for all Data Formats in as mentioned in Step 1 part 2.
3. Various Diagrams are also requested. 

When Computation Intensive Data is applied: 

Metrics /Techniques	Throughout Time	Overhead In terms Communication	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In %age	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

 When Data Intensive is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When Security based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When Video/HDs based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When Audio based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When Text based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When Images based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

When based information is applied:

Metrics /Techniques	Throughout Time	Overhead In Number	Fault Tolerance (Yes/No)	Migration Time	Response Time	Resource Utilization In Number	Scalability In Number	Performance Efficiency	Energy Efficiency In KW	No. of Migration	No. of SLA Violations
Algorithm 01
Algorithm 02

Please find attached Base papers (especially EE13b01.pdf) & find below the Problem Statement:

In cloud we haven massive volume, located at geographically distributed sites, computation is done over the network and tasks are transact by read/write operations, then dynamic energy consumption and load balancing are not unanticipated but a common aspect. To make cloud load balanced and energy efficient is challenging task. We will propose technique that is capable of doing the energy efficiency as well as load balancing simultaneously in the following manner:

1. Dividing the incoming data by the broker as we use that particular data which supports our assignment. This will include three big domains like 

A. Computation Intensive (Mathematical problems etc...), 

B. Data Intensive (Weather, DNA sequencing, Digital maps etc...), 

C. Security (Military data, https, some keying mechanism) based. Please use appropriate workloads and also forward the details. 

2. Dividing the incoming data into various Formats of data like a).Video/HDs, b). Audio, c). Various Text formats, d). Images/maps, data etc needs to be classified in the above mentioned formats (at least 5 data formats). 

Then at second part perform Energy Efficiency and at Third part perform Load Balancing. 

" Possible suggestion here will be to incorporate optimal resource allocation algorithm with the aim of providing proper utilization of cloud resource. This can improve the overall efficiency of the system. Implementation must be done in Cloudsim 3.0.3 ".