Resource scaling improves the capability of a datacenter or group of datacenters

collaborated together to provide resources at low cost in order to meet the demands and

objectives of application services, but, it is substantial to determine the requirements of the

user, especially in the large projects like XIFI. It is important to estimate the number of

users, their arrival rate and types of applications that are often requested for resource

allocation, to expand the resource dimensions to proportionate degree.

In this study we frame a structure that provides deep insights to comprehend XIFI

infrastructure. Furthermore, we model behavior of users that approach the node for

resource allocation to run their applications. We aim to provide an understanding on how

the user behavior influences the resource scaling in XIFI node. The main objective of this

thesis is to investigate different types of applications chosen by users who request for

resource allocations and impact of their choice on the resource availability.

In the systematic review, a number of deliverables of XIFI to understand the specifications of

XIFI architecture are reviewed and analyzed. A model that meets basic requirements, which

can be denoted as a XIFI node is developed and the developed design is implemented in a

simulator.

We simulated the designed structure for 30 iterations and analyzed 10,000 user requests for

two cases where total RAM of the node is increased in the second case when compared to the

first case. We analyze the reason for the failure of the number of requests and different types

of virtual machines for different types of applications, due to unavailable resources.

From the obtained results, we conclude that, by increasing total RAM in a XIFI node the

failure of average number of requests can be reduced. Also the failure percentage of virtual

machines that are to be instantiated, as requested by users decreases when the RAM is

scaled to twice the present value. We also conclude that the user behavior that imposes load

on the system, decides the degree of scalability of resources in the XIFI node.