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CLAMS : Cross-Layer Multi-Cloud Application Monitoring-as-a-Service Framework

Alhamazani, Khalid (författare)
University of New South Wales, Sydney
Ranjan, Rajiv (författare)
CSIRO Computational Informatics, Canberra
Mitra, Karan (författare)
Luleå tekniska universitet,Datavetenskap
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Jayaraman, Prem Prakash (författare)
CSIRO, Canberra
Huang, Zhiqiang (författare)
CSIRO Computational Informatics, Canberra
Wang, Lizhe (författare)
Center for Earth Observation & Digital Earth, Chinese Academy of Sciences
Rabhi, Fethi (författare)
University of New South Wales, Sydney
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 (creator_code:org_t)
Piscataway, NJ : IEEE Communications Society, 2014
2014
Engelska.
Ingår i: Proceedings of the 11th IEEE International Conference on Services Computing (IEEE SCC 2014). - Piscataway, NJ : IEEE Communications Society. - 9781479950652 - 9781479950669 ; , s. 283-290
  • Konferensbidrag (refereegranskat)
Abstract Ämnesord
Stäng  
  • 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.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)

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Mobile and Pervasive Computing
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