Cloud-based Framework for Spatio-Temporal Trajectory Data Segmentation and Query


The process of separating a sequential trajectory into individual segments is referred to as trajectory segmentation. These segments are the fundamental constituents of a variety of applications. As a result, a system framework is necessary in order to support the indexing, storage, and querying of trajectory segment information. A distributed solution is proposed whenever the size of the segments exceeds the capacity of a single processing node to perform the necessary computations. In this piece, we develop a framework for distributed trajectory segmentation that incorporates a greedy-split segmentation method. This framework is made up of distributed processing that takes place in memory and a cluster that stores graphs respectively. We devised a distributed spatial R-tree index of trajectory segments so that fast queries could be performed on the trajectory. With the help of the indexes, we are able to construct scalable query operations from in-memory processing as well as access to graph storage. On the basis of this framework, we define two metrics in order to measure the similarity of the trajectories and the likelihood of collisions. These two metrics are then used in conjunction with one another to determine which moving groups of trajectories exist. On the system, we perform a quantitative analysis to determine the effects of data partitioning, parallelism, and data size. We identify the factors that are causing the bottleneck at the data partition stage and validate two techniques that can be used to mitigate data skew. The evaluation demonstrates that both our distributed segmentation method and the system framework are scalable in response to an increase in the amount of work being performed in parallel as well as the size of the cluster.

Did you like this research project?

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

PROJECT TITLE : Redundancy Minimization and Cost Reduction for Workflows with Reliability Requirements in Cloud-Based Services ABSTRACT: When it comes to the execution of workflows using cloud-based services, reliability requirement
PROJECT TITLE : Cloud-Based Outsourcing for Enabling Privacy-Preserving Large-Scale Non-Negative Matrix Factorization ABSTRACT: It is inescapable and self-evident that clients with limited resources will find it necessary and
PROJECT TITLE :Cloud-Based Fine-Grained Health Information Access Control Framework for LightweightIoT Devices with Dynamic Auditing and Attribute - 2018ABSTRACT:The eHealth trend has spread globally. Internet of Things (IoT)
PROJECT TITLE : Fault Tolerant Stencil Computation on Cloud-based GPU Spot Instances - 2017 ABSTRACT: This paper describes a fault tolerant framework for distributed stencil computation on cloud-based GPU clusters. It uses
PROJECT TITLE :FluidNet: A Flexible Cloud-Based Radio Access Network for Small CellsABSTRACT:Cloud-primarily based radio access networks (C-RAN) are proposed as a value-economical way of deploying tiny cells. Unlike conventional

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

Project Enquiry