Sogand is a PhD student in Computer Science and her research area is related with Cloud Computing, Virtualization and Real-time Scheduling. Sogand has a Bachelors degree in Computer Science and Masters degree in Embedded Systems from Kristianstead University in Sweden. She has been involved in the large cloud computing project in corporation with Ericsson and Compuverde companies. Also, she has been engaged in the Big Data project at Blekinge Institute of Technology. At the moment, she is working at Ericsson AB in Karskrona Sweden.


Doctoral Thesis

Title: Performance Implications of Virtualization


Virtualization is a component of cloud computing. Virtualization transforms traditional inflexible, complex infrastructure of individual servers, storage, and network hardware into a flexible virtual resource pool and increases IT agility, flexibility, and scalability while creating significant cost savings. Additional benefits of virtualization include, greater work mobility, increased performance and availability of resources, and automated operations. Many virtualization solutions have been implemented. There are plenty of cloud providers using different virtualization solutions to provide virtual machines (VMs) and containers, respectively. Various virtualization solutions have different performance overheads due to their various implementations of virtualization and supported features. A cloud user should understand performance overheads of different virtualization solutions and the impact on the performance caused by different virtualization features, so that it can choose appropriate virtualization solution, for the services to avoid degrading their quality of services (QoSs).

In this research, we investigate the impacts of different virtualization technologies such as, container-based, and hypervisor-based virtualization as well as various virtualization features such as, over-allocation of resources, live migration, scalability, and distributed resource scheduling on the performance of various applications for instance, Cassandra NoSQL database, and a large telecommunication application. According to our results, hypervisor-based virtualization has many advantages and is more mature compare to the recently introduced container-based virtualization. However, impacts of the hypervisor-based virtualization on the performance of the applications is much higher than the container-based virtualization as well as the non-virtualized solution. The findings of this research should be of benefit to the ones who provide planning, designing, and implementing of the IT infrastructure.

link to the thesis:

Projekt och publikationer

Pågående projekt
Big Data
Avslutade projekt
PhD. Thesis
Utvalda publikationer
S. Shirinbab, L. Lundberg, D. Erman, ”PerformanceEvaluation of Distributed Storage Systems for Cloud Computing”, International Journal of Computer Applications (IJCA), 2013.
S. Shirinbab, L. Lundberg, D. Ilie, ”PerformanceComparison of KVM, VMware, and XenServerusing a Large Telecommunication Application”, Proceedings of the Fifth International Conference on Cloud Computing, GRIDs, and Virtualization , pp. 25-29, 2014.
S. Shirinbab, L. Lundberg, “Performance Implications of Over-Allocation of Virtual CPUs”, International Symposium on Networks, Computers and Communications (ISNCC) , pp.1-6, 2015.
S. Shirinbab, L. Lundberg, “Performance Implications of Resource Over-Allocation During the Live Migration”, IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 1-6, 2016.
E. Casalicchio, L. Lundberg, S. Shirinbab,”Optimal Adaptation for Apache Cassandra”, Self Orgnizing Self Managing Clouds (SoSeMC) workshop at 13th IEEE International Conference on Autonomic Computing, pp. 1-6, 2016.
S. Shirinbab, L. Lundberg,“Real-time Scheduling in Cloud-based Virtualized Software Systems”, Proceedings of the Second Nordic Symposium on Cloud Computing and Internet Technologies, pp. 54-58, 2013.
S. Shirinbab, L. Lundberg, E. Casalicchio,”Performance Comparison between Horizontal Scaling of Hypervisor and Container Based Virtualization using Cassandra NoSQL Database”, submitted to a conference, pp. 1-6, 2018.
S. Shirinbab, L. Lundberg, “Scheduling Tasks with Hard Deadlines in Cloud-Based Virtualized Software Systems”, will be submitted to a Journal.
S. Shirinbab, L. Lundberg, E. Casalicchio,”Performance Evaluation of Containers and Virtual Machines when Running Cassandra Workload Concurrently”, submitted to a Journal.