The Experts below are selected from a list of 165 Experts worldwide ranked by ideXlab platform

Lizhe Wang - One of the best experts on this subject based on the ideXlab platform.

  • cross layer multi cloud real time Application qos Monitoring and benchmarking as a service framework
    IEEE International Conference on Cloud Computing Technology and Science, 2019
    Co-Authors: Khalid Alhamazani, Karan Mitra, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Chang Liu, Fethi A Rabhi, Lizhe Wang
    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.

  • Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
    IEEE Transactions on Cloud Computing, 2015
    Co-Authors: Khalid Alhamazani, Karan Mitra, Fethi Rabhi, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Lizhe Wang
    Abstract:

    Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (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 or 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, 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.

Khalid Alhamazani - One of the best experts on this subject based on the ideXlab platform.

  • cross layer multi cloud real time Application qos Monitoring and benchmarking as a service framework
    IEEE International Conference on Cloud Computing Technology and Science, 2019
    Co-Authors: Khalid Alhamazani, Karan Mitra, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Chang Liu, Fethi A Rabhi, Lizhe Wang
    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.

  • Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
    IEEE Transactions on Cloud Computing, 2015
    Co-Authors: Khalid Alhamazani, Karan Mitra, Fethi Rabhi, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Lizhe Wang
    Abstract:

    Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (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 or 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, 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.

Karan Mitra - One of the best experts on this subject based on the ideXlab platform.

  • cross layer multi cloud real time Application qos Monitoring and benchmarking as a service framework
    IEEE International Conference on Cloud Computing Technology and Science, 2019
    Co-Authors: Khalid Alhamazani, Karan Mitra, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Chang Liu, Fethi A Rabhi, Lizhe Wang
    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.

  • Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
    IEEE Transactions on Cloud Computing, 2015
    Co-Authors: Khalid Alhamazani, Karan Mitra, Fethi Rabhi, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Lizhe Wang
    Abstract:

    Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (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 or 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, 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.

Rajiv Ranjan - One of the best experts on this subject based on the ideXlab platform.

  • cross layer multi cloud real time Application qos Monitoring and benchmarking as a service framework
    IEEE International Conference on Cloud Computing Technology and Science, 2019
    Co-Authors: Khalid Alhamazani, Karan Mitra, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Chang Liu, Fethi A Rabhi, Lizhe Wang
    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.

  • Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
    IEEE Transactions on Cloud Computing, 2015
    Co-Authors: Khalid Alhamazani, Karan Mitra, Fethi Rabhi, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Lizhe Wang
    Abstract:

    Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (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 or 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, 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.

Prem Prakash Jayaraman - One of the best experts on this subject based on the ideXlab platform.

  • cross layer multi cloud real time Application qos Monitoring and benchmarking as a service framework
    IEEE International Conference on Cloud Computing Technology and Science, 2019
    Co-Authors: Khalid Alhamazani, Karan Mitra, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Chang Liu, Fethi A Rabhi, Lizhe Wang
    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.

  • Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
    IEEE Transactions on Cloud Computing, 2015
    Co-Authors: Khalid Alhamazani, Karan Mitra, Fethi Rabhi, Rajiv Ranjan, Prem Prakash Jayaraman, Dimitrios Georgakopoulos, Lizhe Wang
    Abstract:

    Cloud computing provides on-demand access to affordable hardware (multi-core CPUs, GPUs, disks, and networking equipment) and software (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 or 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, 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.