Thesis supervisor: Anh Tuan Trinh
Location of studies (in Hungarian): Távközlési és Médiainformatikai Tanszék Abbreviation of location of studies: TMIT
Description of the research topic:
The Internet has changed in many ways since its creation. It is now a global platform for computation and communication. The focus has been mainly on the advances of Internet technology and the economics of has not received sufficient attention. The development and deployment of many large-scale networked systems and applications (e.g. peer-to-peer systems and grids) which involve multiple stakeholders with divergent or even competing interests bring new challenges to the design and operation of the future Internet. Among these challenges are the issues related to the economics of the Internet. To the extreme, unmitigated selfish behavior in these systems can lead to high inefficiency or even complete collapse. Furthermore, there are still ongoing debates on the structure of the future Internet, both from the architectural, operational and application-minded points of view.
The principal objective of the research is to investigate the key economics related issues of the future Intenet, and based on that knowledge, to desing new incentive-compatible mechanisms that support future Internet applications.
Open problems:
Identify and analyze key economics/incentive related issues of future Internet applications and Internet-based systems
Design new methods for engineering incentives and disincentives for future Internet applications (e.g., reputation, trust, control, accountability, anonymity, and pricing issues.)
Prototype implementation of the prosposed mechanisms
Co-operation in this research area:
Ericsson Research, Traffic Analysis and Network Performance Laboratory, Budapest, Hungary
Number of students who can be accepted: 1
Deadline for application: 2015-01-05
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
Login
