Research Article
A Case for Understanding End-to-End Performance of Topic Detection and Tracking Based Big Data Applications in the Cloud
@INPROCEEDINGS{10.1007/978-3-319-47063-4_33, author={Meisong Wang and Rajiv Ranjan and Prem Jayaraman and Peter Strazdins and Pete Burnap and Omer Rana and Dimitrios Georgakopulos}, title={A Case for Understanding End-to-End Performance of Topic Detection and Tracking Based Big Data Applications in the Cloud}, proceedings={Internet of Things. IoT Infrastructures. Second International Summit, IoT 360° 2015, Rome, Italy, October 27-29, 2015. Revised Selected Papers, Part I}, proceedings_a={IOT360}, year={2017}, month={1}, keywords={Cloud computing Big data Hadoop map reduce}, doi={10.1007/978-3-319-47063-4_33} }- Meisong Wang
Rajiv Ranjan
Prem Jayaraman
Peter Strazdins
Pete Burnap
Omer Rana
Dimitrios Georgakopulos
Year: 2017
A Case for Understanding End-to-End Performance of Topic Detection and Tracking Based Big Data Applications in the Cloud
IOT360
Springer
DOI: 10.1007/978-3-319-47063-4_33
Abstract
Big Data is revolutionizing nearly every aspect of our lives ranging from enterprises to consumers, from science to government. On the other hand, cloud computing recently has emerged as the platform that can provide an effective and economical infrastructure for collection and analysis of big data produced by applications such as topic detection and tracking (TDT). The fundamental challenge is how to cost-effectively orchestrate these big data applications such as TDT over existing cloud computing platforms for accomplishing big data analytic tasks while meeting performance Service Level Agreements (SLAs). In this paper a layered performance model for TDT big data analytic applications that take into account big data characteristics, the data and event flow across myriad cloud software and hardware resources. We present some preliminary results of the proposed systems that show its effectiveness as regards to understanding the complex performance dependencies across multiple layers of TDT applications.
