PROJECT TITLE :

Reasoning under Uncertainty for Overlay Fault Diagnosis

ABSTRACT:

The performance and reliability of overlay services rely on the underlying overlay network's ability to effectively diagnose and recover from faults such as link failures and overlay node outages. However, overlay networks bring to fault diagnosis new challenges such as large-scale deployment, inaccessible underlay network information, dynamic symptom-fault causality relationship, and multi-layer complexity. In this paper, we develop an evidential overlay fault diagnosis framework called DigOver to tackle these challenges. Firstly, DigOver identifies a set of potential faulty components based on shared end-user observed negative symptoms. Then, each potential faulty component is evaluated to quantify its fault likelihood and the corresponding evaluation uncertainty. Finally, DigOver dynamically constructs a plausible fault graph to locate the root causes of end-user observed negative symptoms. Both simulation and Internet experiments demonstrate that DigOver can effectively and accurately diagnose overlay faults based on end-user observed negative symptoms.


Did you like this research project?

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


PROJECT TITLE : Managing Temporal Constraints with Preferences: Representation, Reasoning, and Querying - 2017 ABSTRACT: Representing and managing temporal information, in the shape of temporal constraints, may be a crucial
PROJECT TITLE :Fast Scheduling of Semiconductor Manufacturing Facilities Using Case-Based ReasoningABSTRACT:This paper presents a scheduling method for semiconductor producing systems through utilizing a case-based mostly reasoning
PROJECT TITLE :Optimal Power System Dispatch With Wind Power Integrated Using Nonlinear Interval Optimization and Evidential Reasoning ApproachABSTRACT:This paper presents the nonlinear interval optimization (NIO) model to resolve
PROJECT TITLE :Model of human knowledge extraction for a KBS using reasoning casesABSTRACT:In this paper, results from a model capturing the knowledge from somebody's being are presented. The model is made to develop a Knowledge-Based
PROJECT TITLE :Monocular Depth-Ordering Reasoning with Occlusion Edge Detection and Couple Layers InferenceABSTRACT:A depth-ordering reasoning approach 1st provides novel occlusion edge detection, generating precise same-layer

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

Project Enquiry