Pregled bibliografske jedinice broj: 1041556
M4Cloud - Generic Application Level Monitoring for Resource-shared Cloud Environments
M4Cloud - Generic Application Level Monitoring for Resource-shared Cloud Environments // CLOSER 2012 - Proceedings of the 2nd International Conference on Cloud Computing and Services Science / Leymann, Frank ; Ivanov, Ivan ; van Sinderen, Marten ; Shan, Tony (ur.).
Porto: SCITEPRESS, 2012. str. 522-532 doi:10.5220/0003928805220532 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1041556 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
M4Cloud - Generic Application Level Monitoring for Resource-shared Cloud Environments
Autori
Toni Mastelić ; Vincent C. Emeakaroha ; Michael Maurer ; Ivona Brandić
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
CLOSER 2012 - Proceedings of the 2nd International Conference on Cloud Computing and Services Science
/ Leymann, Frank ; Ivanov, Ivan ; van Sinderen, Marten ; Shan, Tony - Porto : SCITEPRESS, 2012, 522-532
ISBN
978-989-8565-05-1
Skup
2nd International Conference on Cloud Computing and Services Science (CLOSER 2012)
Mjesto i datum
Porto, Portugal, 18.04.2012. - 21.04.2012
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
M4Cloud ; Cloud Metric Classification ; Application Level Metrics ; Monitoring
Sažetak
Cloud computing is a promising concept for the implementation of scalable on-demand computing infrastructures, where resources are provided in a self-managing manner based on predefined customers requirements. A Service Level Agreement (SLA), which is established between a Cloud provider and a customer, specifies these requirements. It includes terms like required memory consumption, bandwidth or service availability. The SLA also defines penalties for SLA violations when the Cloud provider fails to provide the agreed amount of resources or quality of service. A current challenge in Cloud environments is to detect any possible SLA violation and to timely react upon it to avoid paying penalties, as well as reduce unnecessary resource consumption by managing resources more efficiently. In resource-shared Cloud environments, where there might be multiple VMs on a single physical machine and multiple applications on a single VM, Cloud providers require mechanisms for monitoring resource a nd QoS metrics for each customer application separately. Currently, there is a lack of generic classification of application level metrics. In this paper, we introduce a novel approach for classifying and monitoring application level metrics in a resource-shared Cloud environment. We present the design and implementation of the generic application level monitoring system. Finally, we evaluate our approach and implementation, and provide a proof of concept and functionality.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
