The Experts below are selected from a list of 61095 Experts worldwide ranked by ideXlab platform

Sudarshan K. Srinivasan - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Analysis of State-of-the-art VM-based Cloud Management Platforms
    IEEE Transactions on Cloud Computing, 2013
    Co-Authors: Saif Ur Rehman Malik, Samee U. Khan, Sudarshan K. Srinivasan
    Abstract:

    Virtualization is a key aspect to achieve scalability and flexibility in a Cloud. Many solutions have been proposed to monitor and deploy Virtual Machines (VM) in resource pool of Cloud. However, most of the Cloud Management systems, such as Amazon EC2 are proprietary. In the said perspective, many open source VM-based platforms have tossed for general users to research. The existing work has mainly focused on the discussion of architecture, feature-set, and performance analysis. Other important aspects, such as formal analysis, modeling, and verification are usually ignored. In this paper, we provide formal analysis, modeling, and verification of three open source state-of-the-art VM-based Cloud platforms: (a) Eucalyptus, (b) Open Nebula, and (c) Nimbus. We used High-Level Petri Nets (HLPN) to model and analyze the structural and behavioral properties of the systems. Moreover, to verify the models, we have used Satisfiability Modulo Theories Library (SMT-Lib) and Z3 Solver. We modeled about 100 VM to verify the correctness and feasibility of our models. The results reveal that the models are functioning correctly. Moreover, the increase in the number of VM does not affect the working of the models that indicates the practicability of the models in a highly scalable and flexible environment.

Saif Ur Rehman Malik - One of the best experts on this subject based on the ideXlab platform.

  • Modeling and Analysis of State-of-the-art VM-based Cloud Management Platforms
    IEEE Transactions on Cloud Computing, 2013
    Co-Authors: Saif Ur Rehman Malik, Samee U. Khan, Sudarshan K. Srinivasan
    Abstract:

    Virtualization is a key aspect to achieve scalability and flexibility in a Cloud. Many solutions have been proposed to monitor and deploy Virtual Machines (VM) in resource pool of Cloud. However, most of the Cloud Management systems, such as Amazon EC2 are proprietary. In the said perspective, many open source VM-based platforms have tossed for general users to research. The existing work has mainly focused on the discussion of architecture, feature-set, and performance analysis. Other important aspects, such as formal analysis, modeling, and verification are usually ignored. In this paper, we provide formal analysis, modeling, and verification of three open source state-of-the-art VM-based Cloud platforms: (a) Eucalyptus, (b) Open Nebula, and (c) Nimbus. We used High-Level Petri Nets (HLPN) to model and analyze the structural and behavioral properties of the systems. Moreover, to verify the models, we have used Satisfiability Modulo Theories Library (SMT-Lib) and Z3 Solver. We modeled about 100 VM to verify the correctness and feasibility of our models. The results reveal that the models are functioning correctly. Moreover, the increase in the number of VM does not affect the working of the models that indicates the practicability of the models in a highly scalable and flexible environment.

Jin Wei - One of the best experts on this subject based on the ideXlab platform.

  • blockchain powered software defined network enabled networking infrastructure for Cloud Management
    Consumer Communications and Networking Conference, 2020
    Co-Authors: Praveen Fernando, Jin Wei
    Abstract:

    Cloud architecture has become a valuable solution for different applications, such as big data analytics, due to its high degree of availability, scalability and strategic value. However, there still remain challenges in managing Cloud architecture, in areas such as Cloud security. In this paper, we exploit software-defined networking (SDN) and blockchain technologies to secure Cloud Management platforms from a networking perspective. We develop a blockchain-powered SDN-enabled networking infrastructure in which the integration between blockchain-based security and autonomy Management layer and multi-controller SDN networking layer is defined to enhance the integrity of the control and Management messages. Furthermore, our proposed networking infrastructure also enables the autonomous bandwidth provisioning to enhance the availability of Cloud architecture. In the simulation section, we evaluate the performance of our proposed blockchain-powered SDN-enabled networking infrastructure by considering different scenarios.

  • CCNC - Blockchain-Powered Software Defined Network-Enabled Networking Infrastructure for Cloud Management
    2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), 2020
    Co-Authors: Praveen Fernando, Jin Wei
    Abstract:

    Cloud architecture has become a valuable solution for different applications, such as big data analytics, due to its high degree of availability, scalability and strategic value. However, there still remain challenges in managing Cloud architecture, in areas such as Cloud security. In this paper, we exploit software-defined networking (SDN) and blockchain technologies to secure Cloud Management platforms from a networking perspective. We develop a blockchain-powered SDN-enabled networking infrastructure in which the integration between blockchain-based security and autonomy Management layer and multi-controller SDN networking layer is defined to enhance the integrity of the control and Management messages. Furthermore, our proposed networking infrastructure also enables the autonomous bandwidth provisioning to enhance the availability of Cloud architecture. In the simulation section, we evaluate the performance of our proposed blockchain-powered SDN-enabled networking infrastructure by considering different scenarios.

Achim Streit - One of the best experts on this subject based on the ideXlab platform.

  • GECON - Energy-Aware Cloud Management Through Progressive SLA Specification
    Economics of Grids Clouds Systems and Services, 2014
    Co-Authors: Dražen Lučanin, Foued Jrad, Ivona Brandic, Achim Streit
    Abstract:

    Novel energy-aware Cloud Management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed virtual machine (VM) may suffer occasional downtimes. Current Cloud providers only offer high availability VMs, without enough flexibility to apply such energy-aware Management. In this paper we show how to analyse past traces of dynamic Cloud Management actions based on electricity prices and temperatures to estimate VM availability and price values. We propose a novel service level agreement (SLA) specification approach for offering VMs with different availability and price values guaranteed over multiple SLAs to enable flexible energy-aware Cloud Management. We determine the optimal number of such SLAs as well as their availability and price guaranteed values. We evaluate our approach in a user SLA selection simulation using Wikipedia and Grid’5000 workloads. The results show higher customer conversion and \(39\%\) average energy savings per VM.

  • Energy-Aware Cloud Management through Progressive SLA Specification
    Lecture Notes in Computer Science, 2014
    Co-Authors: Dražen Lučanin, Foued Jrad, Ivona Brandic, Achim Streit
    Abstract:

    Novel energy-aware Cloud Management methods dynamically reallocate computation across geographically distributed data centers to leverage regional electricity price and temperature differences. As a result, a managed VM may suffer occasional downtimes. Current Cloud providers only offer high availability VMs, without enough flexibility to apply such energy-aware Management. In this paper we show how to analyse past traces of dynamic Cloud Management actions based on electricity prices and temperatures to estimate VM availability and price values. We propose a novel SLA specification approach for offering VMs with different availability and price values guaranteed over multiple SLAs to enable flexible energy-aware Cloud Management. We determine the optimal number of such SLAs as well as their availability and price guaranteed values. We evaluate our approach in a user SLA selection simulation using Wikipedia and Grid'5000 workloads. The results show higher customer conversion and 39% average energy savings per VM.

Natalia Seoane - One of the best experts on this subject based on the ideXlab platform.

  • CCGRID - Study of the KVM CPU Performance of Open-Source Cloud Management Platforms
    2015 15th IEEE ACM International Symposium on Cluster Cloud and Grid Computing, 2015
    Co-Authors: F. Gomez-folgar, Antonio J. Garcia-loureiro, Tomás F. Pena, J.i. Zablah, Natalia Seoane
    Abstract:

    Nowadays, there are several open-source solutions for building private, public and even hybrid Clouds such as Eucalyptus, Apache Cloud Stack and Open Stack. KVM is one of the supported hypervisors for these Cloud platforms. Different KVM configurations are being supplied by these platforms and, in some cases, a subset of CPU features are being presented to guest systems, providing a basic abstraction of the underlying CPU. One of the reasons for limiting the features of the Virtual CPU is to guarantee the guest compatibility with different hardware in heterogeneous environments. However, in a large number of situations, the Cloud is deployed on an homogeneous set of hosts. In these cases, this limitation can affect the performance of applications being executed in guest systems. In this paper, we have analyzed the architecture, the KVM setup, and the performance of the Virtual Machines deployed by three popular Cloud Management platforms: Eucalyptus, Apache Cloud Stack and Open Stack, employing a representative set of applications.