Alhamazani, K.; Ranjan, R.; Jayaraman, P.P.; Mitra, K.; Rabhi, F.; Georgakopoulos, D.; Wang, L., "Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework," Cloud Computing, IEEE Transactions on , vol.PP, no.99, pp.1,1
doi: 10.1109/TCC.2015.2441715
Abstract: 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.
keywords: {Benchmark testing;Cloud computing;Databases;Monitoring;Quality of service;Servers;QoS;cloud benchmarking;cloud computing;cross-layer monitoring;multi-clouds;prototyping},
URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7126933&isnumber=6562694