With the advance in communication networks and the use explosion of mobile devices, distributed clouds consisting of many small and medium datacenters in geographical locations and cloudlets defined as mini-datacenters are envisioned as the next-generation cloud computing platform. In particular, distributed clouds enable disaster-resilient and scalable services by scaling the services into multiple datacenters, while cloudlets allow pervasive and continuous services with low access delay by further enabling mobile users to access the services within their proximity. To realize the promises provided by distributed clouds and mobile cloudlets, it urgently needs optimizing various system performance of distributed clouds and cloudlets, such as system throughput and the operational cost, by developing efficient solutions. Existing studies mainly focused on system implementations but lack of efficient techniques and methods for system performance optimization, novel techniques and approaches thus are desperately needed. In this presentation, the speaker will present her developed novel solutions to maximize system throughput of mobile cloudlets,and to minimize the operational cost of distributed clouds, while meeting the resource capacity constraints and users resource demands.
Ms Qiufen Xia is a PhD candidate in the Research School of Computer Science at the Australian National University. She was admitted our PhD program in August 2012. Prior to studying at ANU, she received her ME and BSc degrees from Dalian University of Technology in China in 2012 and 2009 respectively, both in Computer Science. Her research interests include mobile cloud computing, distributed clouds, and resource-constrained optimization.