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.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-10796 |
| Date | January 2015 |
| Creators | Rachapudi, Navya |
| Publisher | Blekinge Tekniska Högskola, Institutionen för kommunikationssystem |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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