PROJECT TITLE :

Blockchain Scaling using Rollups A Comprehensive Survey

ABSTRACT:

In recent years, Blockchain systems have experienced significant expansion as a direct result of the enormous potential offered by the technology that underpins these systems. However, as a result of this popularity, a significant scalability problem has become apparent, which the majority of Blockchain systems are now forced to deal with. As a result of their growing popularity, there is a corresponding increase in the amount of strain placed on the system. Several scaling solutions that either modify the operation of the underlying protocol or that build on top of them have already been proposed. Despite this, each of these solutions is accompanied by a unique set of benefits and drawbacks. The purpose of this paper is to investigate the most recent developments in the field of rollups as a scaling solution. In this paper, we discuss the modes of operation of the various types of rollups, outlining state-of-the-art implementations of each type along with the characteristics and constraints of each type. In addition to this, a performance analysis contrasting these implementations is carried out by us. In conclusion, we discuss potential directions for further research into rollups as an approach to scaling problems.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here


PROJECT TITLE : Smartphone based Indoor Path Estimation and Localization without Human Intervention ABSTRACT: Many different kinds of indoor positioning systems have been developed as a result of the growing market interest in
PROJECT TITLE : Robust Fuzzy Learning for Partially Overlapping Channels Allocation in UAV Communication Networks ABSTRACT: The emerging cellular-enabled unmanned aerial vehicle (UAV) communication paradigm poses significant challenges
PROJECT TITLE : Prediction of Traffic Flow via Connnected Vehicles ABSTRACT: We propose a framework for short-term traffic flow prediction (STP) so that transportation authorities can take early actions to control flow and prevent
PROJECT TITLE : Passenger Demand Prediction with Cellular Footprints ABSTRACT: An accurate forecast of the demand for passengers across the entire city enables providers of online car-hailing services to more efficiently schedule
PROJECT TITLE : NCF: A Neural Context Fusion Approach to Raw Mobility Annotation ABSTRACT: Improving business intelligence in mobile environments requires a thorough comprehension of human mobility patterns on a point-of-interest

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry