Real-Time QoS Monitoring for Cloud-Based Big Data Analytics Applications in Mobile Environments

Author

Alhamazani, Khalid ; Ranjan, Rajiv ; Jayaraman, Prem Prakash ; Mitra, Kaushik ; Meisong Wang ; Zhiqiang Huang ; Lizhe Wang ; Rabhi, Fethi

Author_Institution

Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia

Volume

1

fYear

2014

fDate

14-18 July 2014

Firstpage

337

Lastpage

340

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.

Keywords

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; Big data; Cloud computing; Computational modeling; Conferences; Monitoring; Quality of service; Real-time systems; QoS; cloud computing; cross-layer monitoring; multi-clouds;

fLanguage

English

Publisher

ieee

Conference_Titel

Mobile Data Management (MDM), 2014 IEEE 15th International Conference on

Conference_Location

Brisbane, QLD

Type

conf

DOI

10.1109/MDM.2014.74

Filename

6916940