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CLAMS: Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework
University of New South Wales, Sydney.
CSIRO Computational Informatics, Canberra.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-3489-7429
CSIRO, Canberra.
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2014 (Engelska)Ingår i: Proceedings of the 11th IEEE International Conference on Services Computing (IEEE SCC 2014), Piscataway, NJ: IEEE Communications Society, 2014, s. 283-290Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Cloud computing provides on-demand access to affordable hardware (e.g., multi-core CPUs, GPUs, disks, and networking equipment) and software (e.g., databases, application servers, data processing frameworks, etc.) platforms. Application services hosted on single/multiple cloud provider platforms have diverse characteristics that require extensive monitoring mechanisms to aid in controlling run-time quality of service (e.g., access latency and number of requests being served per second, etc.). To provide essential real-time information for effective and efficient cloud application quality of service (QoS) monitoring, in this paper we propose, develop and validate CLAMS—Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework. The proposed framework is capable of: (a) performing QoS monitoring of application components (e.g., database, web server, application server, etc.) that may be deployed across multiple cloud platforms (e.g., Amazon and Azure); and (b) giving visibility into the QoS of individual application component, which is something not supported by current monitoring services and techniques. We conduct experiments on real-world multi-cloud platforms such as Amazon and Azure to empirically evaluate our framework and the results validate that CLAMS efficiently monitors applications running across multiple clouds.

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Piscataway, NJ: IEEE Communications Society, 2014. s. 283-290
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URN: urn:nbn:se:ltu:diva-34939DOI: 10.1109/SCC.2014.45ISI: 000358444100036Scopus ID: 2-s2.0-84919668719Lokalt ID: 93f04a4c-08fb-4e2a-991d-0686e68c37ccISBN: 978-1-4799-5065-2 (tryckt)ISBN: 978-1-4799-5066-9 (digital)OAI: oai:DiVA.org:ltu-34939DiVA, id: diva2:1008191
Konferens
IEEE International Conference on Services Computing : 27/06/2014 - 02/07/2014
Anmärkning
Godkänd; 2014; 20140509 (karan)Tillgänglig från: 2016-09-30 Skapad: 2016-09-30 Senast uppdaterad: 2018-07-10Bibliografiskt granskad

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