The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform

Klara Nahrstedt - One of the best experts on this subject based on the ideXlab platform.

  • Raj Kumar HP Labs
    2015
    Co-Authors: Bikash Agarwalla, Sujoy Basu, Klara Nahrstedt
    Abstract:

    Emerging large scale utility computing systems like Grids promise computing and storage to be provided to end users as a utility. Sys-tem management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads. In this paper, we present a model based architecture for resource allocation services for Utility Grids. The proposed service is built in the context of interactive Remote Desktop Session workloads and takes application performance QoS models into consideration. The key design guidelines are hierarchical request structure, application performance models, Remote Desktop Session performance models, site admission control, multi-variable resource assignment system, and runtime Session admission control. We have also built a simula-tion toolkit that can handle mixed batch and Remote Desktop Session requests, and have implemented our proposed resource allocation service into the toolkit. We present some results from experiments done using the toolkit. Our proposed architecture for resource allo-cation services addresses the needs of emerging utility computing systems and captures the key concepts and guidelines for building such services in these environments

Bikash Agarwalla - One of the best experts on this subject based on the ideXlab platform.

  • Raj Kumar HP Labs
    2015
    Co-Authors: Bikash Agarwalla, Sujoy Basu, Klara Nahrstedt
    Abstract:

    Emerging large scale utility computing systems like Grids promise computing and storage to be provided to end users as a utility. Sys-tem management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads. In this paper, we present a model based architecture for resource allocation services for Utility Grids. The proposed service is built in the context of interactive Remote Desktop Session workloads and takes application performance QoS models into consideration. The key design guidelines are hierarchical request structure, application performance models, Remote Desktop Session performance models, site admission control, multi-variable resource assignment system, and runtime Session admission control. We have also built a simula-tion toolkit that can handle mixed batch and Remote Desktop Session requests, and have implemented our proposed resource allocation service into the toolkit. We present some results from experiments done using the toolkit. Our proposed architecture for resource allo-cation services addresses the needs of emerging utility computing systems and captures the key concepts and guidelines for building such services in these environments

Vykopal Jan - One of the best experts on this subject based on the ideXlab platform.

  • Flow-based detection of RDP brute-force attacks
    Univerzita obrany, 2013
    Co-Authors: Vizváry Martin, Vykopal Jan
    Abstract:

    This paper describes a design and evaluation of a network-based detection of brute-force attacks on authentication of Microsoft Windows RDP. The network flow data provides sufficient information about communication of two nodes in network, even though the RDP communication is encrypted. An analysis was based on the network flow data collected in the Masaryk University network and host-based data from logs of a server with opened Remote Desktop Connection. These data helped us to improve the flow detection using the information gathered from the server event log. Despite the fact that RDP is encrypted, flow data gives us a sufficient amount of information to determine whether the connection is an authentication or regular Remote Desktop Session. We implemented the attacks detection as a plugin for the widely used NfSen collector. The plugin is involved in the active defense of the network of Masaryk University

Sujoy Basu - One of the best experts on this subject based on the ideXlab platform.

  • Raj Kumar HP Labs
    2015
    Co-Authors: Bikash Agarwalla, Sujoy Basu, Klara Nahrstedt
    Abstract:

    Emerging large scale utility computing systems like Grids promise computing and storage to be provided to end users as a utility. Sys-tem management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads. In this paper, we present a model based architecture for resource allocation services for Utility Grids. The proposed service is built in the context of interactive Remote Desktop Session workloads and takes application performance QoS models into consideration. The key design guidelines are hierarchical request structure, application performance models, Remote Desktop Session performance models, site admission control, multi-variable resource assignment system, and runtime Session admission control. We have also built a simula-tion toolkit that can handle mixed batch and Remote Desktop Session requests, and have implemented our proposed resource allocation service into the toolkit. We present some results from experiments done using the toolkit. Our proposed architecture for resource allo-cation services addresses the needs of emerging utility computing systems and captures the key concepts and guidelines for building such services in these environments

Vizváry Martin - One of the best experts on this subject based on the ideXlab platform.

  • Flow-based detection of RDP brute-force attacks
    Univerzita obrany, 2013
    Co-Authors: Vizváry Martin, Vykopal Jan
    Abstract:

    This paper describes a design and evaluation of a network-based detection of brute-force attacks on authentication of Microsoft Windows RDP. The network flow data provides sufficient information about communication of two nodes in network, even though the RDP communication is encrypted. An analysis was based on the network flow data collected in the Masaryk University network and host-based data from logs of a server with opened Remote Desktop Connection. These data helped us to improve the flow detection using the information gathered from the server event log. Despite the fact that RDP is encrypted, flow data gives us a sufficient amount of information to determine whether the connection is an authentication or regular Remote Desktop Session. We implemented the attacks detection as a plugin for the widely used NfSen collector. The plugin is involved in the active defense of the network of Masaryk University