The Experts below are selected from a list of 18504 Experts worldwide ranked by ideXlab platform

Marco Mellia - One of the best experts on this subject based on the ideXlab platform.

  • a distributed architecture for the monitoring of clouds and cdns applications to amazon aws
    IEEE Transactions on Network and Service Management, 2014
    Co-Authors: Ignacio Bermudez, Stefano Traverso, Maurizio Matteo Munafo, Marco Mellia
    Abstract:

    Clouds and CDNs are systems that tend to separate the content being requested by users from the physical servers capable of serving it. From the network point of view, monitoring and optimizing performance for the traffic they generate are challenging tasks, given that the same resource can be located in multiple places, which can, in turn, change at any time. The first step in understanding cloud and CDN systems is thus the engineering of a monitoring platform. In this paper, we propose a novel solution that combines passive and active measurements and whose workflow has been tailored to specifically characterize the traffic generated by cloud and CDN Infrastructures. We validate our platform by performing a longitudinal characterization of the very well known cloud and CDN Infrastructure Provider Amazon Web Services (AWS). By observing the traffic generated by more than 50 000 Internet users of an Italian Internet Service Provider, we explore the EC2, S3, and CloudFront AWS services, unveiling their Infrastructure, the pervasiveness of web services they host, and their traffic allocation policies as seen from our vantage points. Most importantly, we observe their evolution over a two-year-long period. The solution provided in this paper can be of interest for the following: 1) developers aiming at building measurement tools for cloud Infrastructure Providers; 2) developers interested in failure and anomaly detection systems; and 3) third-party service-level agreement certificators who can design systems to independently monitor performance. Finally, we believe that the results about AWS presented in this paper are interest

  • A Distributed Architecture for the Monitoring of Clouds and CDNs: Applications to Amazon AWS
    IEEE Transactions on Network and Service Management, 2014
    Co-Authors: Ignacio Bermudez, Stefano Traverso, Maurizio Munafò, Marco Mellia
    Abstract:

    Clouds and CDNs are systems that tend to separate the content being requested by users from the physical servers capable of serving it. From the network point of view, monitoring and optimizing performance for the traffic they generate are challenging tasks, given that the same resource can be located in multiple places, which can, in turn, change at any time. The first step in understanding cloud and CDN systems is thus the engineering of a monitoring platform. In this paper, we propose a novel solution that combines passive and active measurements and whose workflow has been tailored to specifically characterize the traffic generated by cloud and CDN Infrastructures. We validate our platform by performing a longitudinal characterization of the very well known cloud and CDN Infrastructure Provider Amazon Web Services (AWS). By observing the traffic generated by more than 50 000 Internet users of an Italian Internet Service Provider, we explore the EC2, S3, and CloudFront AWS services, unveiling their Infrastructure, the pervasiveness of web services they host, and their traffic allocation policies as seen from our vantage points. Most importantly, we observe their evolution over a two-year-long period. The solution provided in this paper can be of interest for the following: 1) developers aiming at building measurement tools for cloud Infrastructure Providers; 2) developers interested in failure and anomaly detection systems; and 3) third-party service-level agreement certificators who can design systems to independently monitor performance. Finally, we believe that the results about AWS presented in this paper are interesting as they are among the first to unveil properties of AWS as seen from the operator point of view.

Mario Südholt - One of the best experts on this subject based on the ideXlab platform.

  • Putting the Next 500 VM Placement Algorithms to the Acid Test: The Infrastructure Provider Viewpoint
    IEEE Transactions on Parallel and Distributed Systems, 2019
    Co-Authors: Adrien Lebre, Jonathan Pastor, Anthony Simonet, Mario Südholt
    Abstract:

    Most current Infrastructures for cloud computing leverage static and greedy policies for the placement of virtual machines. Such policies impede the optimal allocation of resources from the Infrastructure Provider viewpoint. Over the last decade, more dynamic and often more efficient policies based, e.g., on consolidation and load balancing techniques, have been developed. Due to the underlying complexity of cloud Infrastructures, these policies are evaluated either using limited scale testbeds/in-vivo experiments or ad-hoc simulators. These validation methodologies are unsatisfactory for two important reasons: they (i) do not model precisely enough real production platforms (size, workload variations, failure, etc.) and (ii) do not enable the fair comparison of different approaches. More generally, new placement algorithms are thus continuously being proposed without actually identifying their benefits with respect to the state of the art. In this article, we show how VMPlaceS, a dedicated simulation framework enables researchers (i) to study and compare VM placement algorithms from the Infrastructure perspective, (ii) to detect possible limitations at large scale and (iii) to easily investigate different design choices. Built on top of the SimGrid simulation platform, VMPlaceS provides programming support to ease the implementation of placement algorithms and runtime support dedicated to load injection and execution trace analysis. To illustrate the relevance of VMPlaceS, we first discuss a few experiments that enabled us to study in details three well known VM placement strategies. Diving into details, we also identify several modifications that can significantly increase their performance in terms of reactivity. Second, we complete this overall presentation of VMPlaceS by focusing on the energy efficiency of the well-know FFD strategy. We believe that VMPlaceS will allow researchers to validate the benefits of new placement algorithms, thus accelerating placement research and favouring the transfer of results to IaaS production platforms.

Ignacio Bermudez - One of the best experts on this subject based on the ideXlab platform.

  • a distributed architecture for the monitoring of clouds and cdns applications to amazon aws
    IEEE Transactions on Network and Service Management, 2014
    Co-Authors: Ignacio Bermudez, Stefano Traverso, Maurizio Matteo Munafo, Marco Mellia
    Abstract:

    Clouds and CDNs are systems that tend to separate the content being requested by users from the physical servers capable of serving it. From the network point of view, monitoring and optimizing performance for the traffic they generate are challenging tasks, given that the same resource can be located in multiple places, which can, in turn, change at any time. The first step in understanding cloud and CDN systems is thus the engineering of a monitoring platform. In this paper, we propose a novel solution that combines passive and active measurements and whose workflow has been tailored to specifically characterize the traffic generated by cloud and CDN Infrastructures. We validate our platform by performing a longitudinal characterization of the very well known cloud and CDN Infrastructure Provider Amazon Web Services (AWS). By observing the traffic generated by more than 50 000 Internet users of an Italian Internet Service Provider, we explore the EC2, S3, and CloudFront AWS services, unveiling their Infrastructure, the pervasiveness of web services they host, and their traffic allocation policies as seen from our vantage points. Most importantly, we observe their evolution over a two-year-long period. The solution provided in this paper can be of interest for the following: 1) developers aiming at building measurement tools for cloud Infrastructure Providers; 2) developers interested in failure and anomaly detection systems; and 3) third-party service-level agreement certificators who can design systems to independently monitor performance. Finally, we believe that the results about AWS presented in this paper are interest

  • A Distributed Architecture for the Monitoring of Clouds and CDNs: Applications to Amazon AWS
    IEEE Transactions on Network and Service Management, 2014
    Co-Authors: Ignacio Bermudez, Stefano Traverso, Maurizio Munafò, Marco Mellia
    Abstract:

    Clouds and CDNs are systems that tend to separate the content being requested by users from the physical servers capable of serving it. From the network point of view, monitoring and optimizing performance for the traffic they generate are challenging tasks, given that the same resource can be located in multiple places, which can, in turn, change at any time. The first step in understanding cloud and CDN systems is thus the engineering of a monitoring platform. In this paper, we propose a novel solution that combines passive and active measurements and whose workflow has been tailored to specifically characterize the traffic generated by cloud and CDN Infrastructures. We validate our platform by performing a longitudinal characterization of the very well known cloud and CDN Infrastructure Provider Amazon Web Services (AWS). By observing the traffic generated by more than 50 000 Internet users of an Italian Internet Service Provider, we explore the EC2, S3, and CloudFront AWS services, unveiling their Infrastructure, the pervasiveness of web services they host, and their traffic allocation policies as seen from our vantage points. Most importantly, we observe their evolution over a two-year-long period. The solution provided in this paper can be of interest for the following: 1) developers aiming at building measurement tools for cloud Infrastructure Providers; 2) developers interested in failure and anomaly detection systems; and 3) third-party service-level agreement certificators who can design systems to independently monitor performance. Finally, we believe that the results about AWS presented in this paper are interesting as they are among the first to unveil properties of AWS as seen from the operator point of view.

Adrien Lebre - One of the best experts on this subject based on the ideXlab platform.

  • Putting the Next 500 VM Placement Algorithms to the Acid Test: The Infrastructure Provider Viewpoint
    IEEE Transactions on Parallel and Distributed Systems, 2019
    Co-Authors: Adrien Lebre, Jonathan Pastor, Anthony Simonet, Mario Südholt
    Abstract:

    Most current Infrastructures for cloud computing leverage static and greedy policies for the placement of virtual machines. Such policies impede the optimal allocation of resources from the Infrastructure Provider viewpoint. Over the last decade, more dynamic and often more efficient policies based, e.g., on consolidation and load balancing techniques, have been developed. Due to the underlying complexity of cloud Infrastructures, these policies are evaluated either using limited scale testbeds/in-vivo experiments or ad-hoc simulators. These validation methodologies are unsatisfactory for two important reasons: they (i) do not model precisely enough real production platforms (size, workload variations, failure, etc.) and (ii) do not enable the fair comparison of different approaches. More generally, new placement algorithms are thus continuously being proposed without actually identifying their benefits with respect to the state of the art. In this article, we show how VMPlaceS, a dedicated simulation framework enables researchers (i) to study and compare VM placement algorithms from the Infrastructure perspective, (ii) to detect possible limitations at large scale and (iii) to easily investigate different design choices. Built on top of the SimGrid simulation platform, VMPlaceS provides programming support to ease the implementation of placement algorithms and runtime support dedicated to load injection and execution trace analysis. To illustrate the relevance of VMPlaceS, we first discuss a few experiments that enabled us to study in details three well known VM placement strategies. Diving into details, we also identify several modifications that can significantly increase their performance in terms of reactivity. Second, we complete this overall presentation of VMPlaceS by focusing on the energy efficiency of the well-know FFD strategy. We believe that VMPlaceS will allow researchers to validate the benefits of new placement algorithms, thus accelerating placement research and favouring the transfer of results to IaaS production platforms.

Raouf Boutaba - One of the best experts on this subject based on the ideXlab platform.

  • dynamic service placement in geographically distributed clouds
    IEEE Journal on Selected Areas in Communications, 2013
    Co-Authors: Qi Zhang, Raouf Boutaba, Quanyan Zhu, Mohamed Faten Zhani, Joseph L Hellerstein
    Abstract:

    Large-scale online service Providers have been increasingly relying on geographically distributed cloud Infrastructures for service hosting and delivery. In this context, a key challenge faced by service Providers is to determine the locations where service applications should be placed such that the hosting cost is minimized while key performance requirements (e.g., response time) are ensured. Furthermore, the dynamic nature of both demand pattern and Infrastructure cost favors a dynamic solution to this problem. Currently most of the existing solutions for service placement have either ignored dynamics, or provided solutions inadequate to achieve this objective. In this paper, we present a framework for dynamic service placement problems based on control- and game-theoretic models. In particular, we present a solution that optimizes the hosting cost dynamically over time according to both demand and resource price fluctuations. We further consider the case where multiple service Providers compete for resources in a dynamic manner. This paper extends our previous work [1] by analyzing the outcome of the competition in terms of both price of stability and price of anarchy. Our analysis suggests that in an uncoordinated scenario where service Providers behave in a selfish manner, the resulting Nash equilibrium can be arbitrarily worse than the optimal centralized solution in terms of social welfare. Based on this observation, we present a coordination mechanism that can be employed by the Infrastructure Provider to maximize the social welfare of the system. Finally, we demonstrate the effectiveness of our solutions using realistic simulations.

  • svne survivable virtual network embedding algorithms for network virtualization
    IEEE Transactions on Network and Service Management, 2013
    Co-Authors: Muntasir Raihan Rahman, Raouf Boutaba
    Abstract:

    Network virtualization can offer more flexibility and better manageability for the future Internet by allowing multiple heterogeneous virtual networks (VN) to coexist on a shared Infrastructure Provider (InP) network. A major challenge in this respect is the VN embedding problem that deals with the efficient mapping of virtual resources on InP network resources. Previous research focused on heuristic algorithms for the VN embedding problem assuming that the InP network remains operational at all times. In this paper, we remove this assumption by formulating the survivable virtual network embedding (SVNE) problem. We then develop a pro-active, and a hybrid policy heuristic to solve it, and a baseline policy heuristic to compare to. The hybrid policy is based on a fast re-routing strategy and utilizes a pre-reserved quota for backup on each physical link. Our evaluation results show that our proposed heuristics for SVNE outperform the baseline heuristic in terms of long term business profit for the InP, acceptance ratio, bandwidth efficiency, and response time.