Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
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
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.
2015. , 54 p.
ET2580 Master's Thesis (120 credits) in Electrical Engineering with emphasis on Telecommunication Systems
ETATE Master of Science Programme in Electrical Engineering with emphasis on Telecommunication Systems