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Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
School of Computer Science and Engineering, University of New South Wales.
CSIRO Digital Productivity, Acton.
CSIRO Digital Productivity, Acton.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-3489-7429
Vise andre og tillknytning
2019 (engelsk)Inngår i: I E E E Transactions on Cloud Computing, ISSN 2168-7161, Vol. 7, nr 1, s. 48-61Artikkel i tidsskrift (Fagfellevurdert) Published
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 and data processing frameworks) platforms with features such as elasticity, pay-per-use, low upfront investment and low time to market. This has led to the proliferation of business critical applications that leverage various cloud platforms. Such applications hosted on single/multiple cloud provider platforms have diverse characteristics requiring extensive monitoring and benchmarking mechanisms to ensure run-time Quality of Service (QoS) (e.g., latency and throughput). This paper proposes, develops and validates CLAMBS—Cross-Layer Multi Cloud Application Monitoring and Benchmarking as-a-Service for efficient QoS monitoring and benchmarking of cloud applications hosted on multi-clouds environments. The major highlight of CLAMBS is its capability of monitoring and benchmarking individual application components such as databases and web servers, distributed across cloud layers (*-aaS), spread among multiple cloud providers. We validate CLAMBS using prototype implementation and extensive experimentation and show that CLAMBS efficiently monitors and benchmarks application components on multi-cloud platforms including Amazon EC2 and Microsoft Azure.  

sted, utgiver, år, opplag, sider
Los Alamitos: IEEE, 2019. Vol. 7, nr 1, s. 48-61
Emneord [en]
Cloud Computing, Benchmarking, Cloud Monitoring, Information technology - Systems engineering
Emneord [sv]
Informationsteknik, Systemteknik
HSV kategori
Forskningsprogram
Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-5655DOI: 10.1109/TCC.2015.2441715ISI: 000460668300005Scopus ID: 2-s2.0-85029735760Lokal ID: 3d0653ee-adf9-462f-a6bc-f5dcec1c3dc3OAI: oai:DiVA.org:ltu-5655DiVA, id: diva2:978529
Merknad

Validerad;2019;Nivå 2;2019-03-18 (oliekm)

Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2019-04-12bibliografisk kontrollert

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