A Classification and Comparison Framework for Cloud Service Brokerage Architectures - 2018


Cloud service brokerage and connected management and marketplace concepts are identified as key considerations for future cloud technology development and research. Cloud service management is a crucial building block of cloud architectures that can be extended to act as a broker service layer between consumers and providers, and even to form marketplace services. We present a 3-pronged classification and comparison framework for broker platforms and applications. A vary of specific broker development issues like design, programming and quality are investigated. Primarily based on this framework, selected management, brokerage and marketplace solutions will be compared, not only to demonstrate the utility of the framework, but conjointly to spot challenges and wider research objectives based on an identification of cloud broker architecture concerns and technical requirements for service brokerage solutions. We also discuss emerging cloud architecture concerns like commoditisation and federation of integrated, vertical cloud stacks.

Did you like this research project?

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

PROJECT TITLE : Identity-Based Attack Detection and Classification Utilizing Reciprocal RSS Variations in Mobile Wireless Networks ABSTRACT: One of the most dangerous dangers that wireless networks face is that of identity-based
PROJECT TITLE : Efficient Shapelet Discovery for Time Series Classification ABSTRACT: Recently, it was discovered that time-series shapelets, which are discriminative subsequences, are effective for the classification of time
PROJECT TITLE : MM-UrbanFAC Urban Functional Area Classification Model Based on Multimodal Machine Learning ABSTRACT: The majority of the classification methods that are currently used for urban functional areas are only based
PROJECT TITLE : Interaction-Aware Spatio-Temporal Pyramid Attention Networks for Action Classification ABSTRACT: When it comes to CNN-based visual action recognition, the accuracy of the process could be improved by concentrating
PROJECT TITLE : End-to-End Automatic Morphological Classification of Intracranial Pressure Pulse Waveforms Using Deep Learning ABSTRACT: Objective. The mean intracranial pressure, also known as ICP, is a measurement that is frequently

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

Project Enquiry