Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework

Alhamazani, K; Ranjan, R; Jayaraman, PP; Mitra, K; Liu, C; Rabhi, F; Georgakopoulos, D; Wang, L

Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework

Alhamazani, K Ranjan, R Jayaraman, PP Mitra, K Liu, C Rabhi, F Georgakopoulos, D Wang, L

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Journal Article
Citation:: IEEE Transactions on Cloud Computing, 2019, 7, (1), pp. 48-61
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Alhamazani, K
dc.contributor.author	Ranjan, R
dc.contributor.author	Jayaraman, PP
dc.contributor.author	Mitra, K
dc.contributor.author	Liu, C
dc.contributor.author	Rabhi, F
dc.contributor.author	Georgakopoulos, D
dc.contributor.author	Wang, L
dc.date.accessioned	2020-06-01T03:11:18Z
dc.date.available	2020-06-01T03:11:18Z
dc.date.issued	2019-01-01
dc.identifier.citation	IEEE Transactions on Cloud Computing, 2019, 7, (1), pp. 48-61
dc.identifier.issn	2168-7161
dc.identifier.issn	2168-7161
dc.identifier.uri	http://hdl.handle.net/10453/141023
dc.description.abstract	© 2013 IEEE. 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.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	IEEE Transactions on Cloud Computing
dc.relation.isbasedon	10.1109/TCC.2015.2441715
dc.rights	info:eu-repo/semantics/closedAccess
dc.rights	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.subject	0805 Distributed Computing, 0806 Information Systems
dc.title	Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
dc.type	Journal Article
utslib.citation.volume	7
utslib.for	0805 Distributed Computing
utslib.for	0806 Information Systems
utslib.copyright.status	closed_access	*
dc.date.updated	2020-06-01T03:11:13Z
pubs.issue	1
pubs.publication-status	Published
pubs.volume	7
utslib.start-page	48
utslib.citation.issue	1

Abstract:

© 2013 IEEE. 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.

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http://hdl.handle.net/10453/141023