1. Dynamic resource allocation techniques using smart load balancer algorithm
Md Baitul Al Sadi, Isaac J. Cushman, Lei Chen, Rami J. Haddad
Department of Information Technology, Department of Electrical Engineering
Georgia Southern University
Statesboro, USA
{ic00214, ms12508, lchen,

2. Outline Motivation Abstract Introduction OpenStack Cloud Design
Resource Management, Allocation and Provisioning
Proposed Solution
Conclusion

3. Motivation Growing complexity of data types in the cloud medium.
Security concerns with cloud access.
Bandwidth allocation predictions indicate shortage of availability in the near future with Internet of Things.

4. Abstract
We present a new framework that will allow for a smart load balancer to efficiently allocate resources to increase application processing speed for data and request response of memory stored by mobile devices in a secure manner.

5. Introduction
Mobile Cloud Computing (MCC) offers the ability to offload data processing.
MCC is offered as “everything-as-a-service”
Platform
Software
Infrastructure
MCC can potentiality meet the computational limitation of the mobile device.

6. Mobile device applications require complex data type storage and execution.
Scalability and redundancy are fundamental when upholding confidentiality, availability and integrity.
Core goals of MCC:
Computational power
Storage
Bandwidth
Data heterogeneity

7. OpenStack
Features:
Open Source
Large development support
Ability to launch public and private cloud
Configurable cloud design to fit scalability needs.
Ability to exist in a private entity but access a public domain.

8. The following OpenStack projects, listed by their project names, are defined in [8]:
Keystone: Authentication and authorization service that operates as the identity of the cloud network.
Glance: Operates as the image service for the cloud network; this software is responsible for creating, editing and provisioning virtual machines.
Neutron: Establishes the internal and external bridge connections between each of the nodes and the other OpenStack services.
Nova: Manages the lifecycle of compute instances. This includes spawning, scheduling and decommissioning of virtual machines on demand.
Cinder: This software is the block storage on the cloud network; it provides persistent block storage on the instances created by Glance.
Horizon: This software is the web-based system that allows for the cloud provider to quickly access and manages each of the services in the cloud outside of the command line interface.

9. Design of Private Cloud
Physical hardware:
Dell Poweredge R820 Servers
Run on Ubuntu server 16.04
Uses OpenStack software to create databases.
Metal As a Service (MAAS):
Treats hardware as if they are Virtual Machines

10. Network Topology for Private Cloud

11. Controller, Compute and Network Nodes
a minimum requirement of 3 network servers
controller
Runs the virtual machine identity and image services, management portion of compute node and the dashboard
compute
Organizes and calls tenant virtual machines or instances, connects network plug ins and firewall services
network
Runs the networking plug in and several agents to provide switching, routing, NAT and DHCP

12. Resource Management, Allocation and Provisioning
Important to prevent overloading in single machine.
Aims to provide Quality of Service (QoS) in the form of confidentiality, integrity and availability
Offer features like:
resource optimization,
diminishing of response time and down time
maximizing the throughput
avoiding of overload

13. Load Balancer The job of a load balancer is to:
store data in optimal locations
to point user to data in quickest path
Current methods for load balancing require single specific target to meet.
Common configurations:
Priority
Round Robin
Least loaded VMs

14. Proposed Solution Load balancer with intelligent decision making.
Should consider a heterogenous data configuration
Emphasis on priority requests
Promotes fairness in the system
Minimal decision delay for large networks

15. Dynamic Resource Allocation
User Generated Data: User generated data can be referred to as the data generated by the user.
Application data: All mobile application driven data can be classified as application data.
System data: All data associated with the system information.

16. Security Class level

18. Smart Load Balancer Need before Greed
Idea comes from classic reward disbursement made famous by MMORPG video games.
Goal is to determine each user that is more in need of immediate and or high resolution.
Decision making will exist in application hosted by the cloud controller

19. Smart Load Balancer Algorithm

20. Smart Load Balancer Algorithm
1: Gather current network requests.
2: Establish handshake between VMs and Server
3: Initialize SLB to organize requests
Case 1: Priority Target is requesting BW
a. Check leasing history for overuse
b. Grant leasing time to PT with allocated BW
Case 2: Many other VMs are requesting BW
a. If no PT, begin round robin
b. If PT is active, allocate remaining BW
4: If overuse by PT is found, PT will have cap placed
End

21. Front View of Hardware used for Mobile Cloud Network

22. Conclusion
Complex data types in networking creates a problem with maintaining a consistent protocol for cloud security.
Proposed smart load balancer and cloud in cloud method provides a more secure, intelligent connection.
Future work goal is to implement full system to test the viability of the smart load balancer.
Possible changes to the structure if request latency or unfairness in the system occurs.

23. Thank you for your time! Are there any Questions?