QoS monitoring in a cloud services environment: the SRT-15 approach

Authors:
Giuseppe Cicotti;Luigi Coppolino;Rosario Cristaldi;Salvatore D'Antonio;Luigi Romano
Affiliations:
Epsilon srl, Naples, Italy;Epsilon srl, Naples, Italy;Epsilon srl, Naples, Italy;Epsilon srl, Naples, Italy;Epsilon srl, Naples, Italy
Venue:
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Year:
2011

Citing 4
Cited 1

The many faces of publish/subscribe

ACM Computing Surveys (CSUR)
Comparisons of randomization and K-degree anonymization schemes for privacy preserving social network publishing

Proceedings of the 3rd Workshop on Social Network Mining and Analysis
Low-Overhead Fault Tolerance for High-Throughput Data Processing Systems

ICDCS '11 Proceedings of the 2011 31st International Conference on Distributed Computing Systems
A Novel Approach to QoS Monitoring in the Cloud

CCP '11 Proceedings of the 2011 First International Conference on Data Compression, Communications and Processing

Semantic-based QoS management in cloud systems: Current status and future challenges

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The evolution of Cloud Computing environments has resulted in a new impulse to the service oriented computing, with hardware resources, whole applications and entire business processes provided as services in the so called "as a service" paradigm. In such a paradigm the resulting interactions should involve actors (users and providers of services) belonging to different entities and possibly to different companies, hence the success of such a new vision of the IT world is strictly tied to the possibility of guaranteed high quality levels in the provisioning of resources and services. In this paper we present QoSMONaaS (Quality of Service MONitoring as a Service), a QoS monitoring facility built on top of the SRT-15, a Cloud-oriented and CEP-based platform being developed in the context of the homonymous EU funded project. In particular we present the main components of QoSMONaaS and illustrate QoSMONaaS operation and internals with respect to a substantial case study of an Internet of Thing (IoT) application.