Paper Info
Title
Real-Time QoS Monitoring for Cloud-Based Big Data Analytics Applications in Mobile Environments
Abstract
The service delivery model of cloud computing acts as a key enabler for big data analytics applications enhancing productivity, efficiency and reducing costs. The ever increasing flood of data generated from smart phones and sensors such as RFID readers, traffic cams etc require innovative provisioning and QoS monitoring approaches to continuously support big data analytics. To provide essential information for effective and efficient bid data analytics application QoS monitoring, in this paper we propose and develop CLAMS-Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework: (a) performs multi-cloud monitoring, and (b) addresses the issue of cross-layer monitoring of applications. We implement and demonstrate CLAMS functions on real-world multi-cloud platforms such as Amazon and Azure.
Year
DOI
Venue
2014
10.1109/MDM.2014.74
MDM), 2014 IEEE 15th International Conference  
Keywords
Field
DocType
Big Data,cloud computing,data analysis,mobile computing,quality of service,CLAMS,RFID readers,cloud computing,cloud-based big data analytic applications,cost reduction,cross-layer multicloud application monitoring-as-a-service framework,innovative provisioning,mobile environments,productivity,real-time QoS monitoring,real-world multicloud platforms,sensors,service delivery model,smart phones,traffic cams,QoS,cloud computing,cross-layer monitoring,multi-clouds
Enabling,Computer science,Quality of service,Computer network,Provisioning,Analytics,Big data,Service delivery framework,Cloud computing,Distributed computing
Conference
Volume
ISSN
Citations 
1
1551-6245
2
PageRank 
References 
Authors
0.36
4
4
Name
Order
Citations
PageRank
Alhamazani, K.120.36
Rajiv Ranjan24747267.72
prem prakash jayaraman3473.81
Sanjit K. Mitra4934132.32