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

Steven E Royer - One of the best experts on this subject based on the ideXlab platform.

  • hypervisor based facility for communicating between a hardware management console and a logical partition
    2009
    Co-Authors: Gary Dean Anderson, Curtis Shannon Eide, Jonathan L Kaus, Steven E Royer
    Abstract:

    A hypervisor-based facility is provided for communicating between a hardware management console (HMC) and a logical partition of a data processing system. The facility includes: packaging a request or response of a Source Endpoint as cargo in a generic transport primitive, the Source Endpoint being either an HMC or a logical partition of the data processing system; and forwarding the generic transport primitive from the Source Endpoint to a target Endpoint via the hypervisor. The forwarding includes receiving the transport primitive at the hypervisor and forwarding the cargo of the transport primitive to the target Endpoint. The cargo includes the request or response from the Source Endpoint, and the hypervisor forwards the cargo absent inspection or parsing of that cargo. The target Endpoint is the other one of the logical partition or the hardware management console of the data processing system.

Gary Dean Anderson - One of the best experts on this subject based on the ideXlab platform.

  • hypervisor based facility for communicating between a hardware management console and a logical partition
    2009
    Co-Authors: Gary Dean Anderson, Curtis Shannon Eide, Jonathan L Kaus, Steven E Royer
    Abstract:

    A hypervisor-based facility is provided for communicating between a hardware management console (HMC) and a logical partition of a data processing system. The facility includes: packaging a request or response of a Source Endpoint as cargo in a generic transport primitive, the Source Endpoint being either an HMC or a logical partition of the data processing system; and forwarding the generic transport primitive from the Source Endpoint to a target Endpoint via the hypervisor. The forwarding includes receiving the transport primitive at the hypervisor and forwarding the cargo of the transport primitive to the target Endpoint. The cargo includes the request or response from the Source Endpoint, and the hypervisor forwards the cargo absent inspection or parsing of that cargo. The target Endpoint is the other one of the logical partition or the hardware management console of the data processing system.

Curtis Shannon Eide - One of the best experts on this subject based on the ideXlab platform.

  • hypervisor based facility for communicating between a hardware management console and a logical partition
    2009
    Co-Authors: Gary Dean Anderson, Curtis Shannon Eide, Jonathan L Kaus, Steven E Royer
    Abstract:

    A hypervisor-based facility is provided for communicating between a hardware management console (HMC) and a logical partition of a data processing system. The facility includes: packaging a request or response of a Source Endpoint as cargo in a generic transport primitive, the Source Endpoint being either an HMC or a logical partition of the data processing system; and forwarding the generic transport primitive from the Source Endpoint to a target Endpoint via the hypervisor. The forwarding includes receiving the transport primitive at the hypervisor and forwarding the cargo of the transport primitive to the target Endpoint. The cargo includes the request or response from the Source Endpoint, and the hypervisor forwards the cargo absent inspection or parsing of that cargo. The target Endpoint is the other one of the logical partition or the hardware management console of the data processing system.

Jonathan L Kaus - One of the best experts on this subject based on the ideXlab platform.

  • hypervisor based facility for communicating between a hardware management console and a logical partition
    2009
    Co-Authors: Gary Dean Anderson, Curtis Shannon Eide, Jonathan L Kaus, Steven E Royer
    Abstract:

    A hypervisor-based facility is provided for communicating between a hardware management console (HMC) and a logical partition of a data processing system. The facility includes: packaging a request or response of a Source Endpoint as cargo in a generic transport primitive, the Source Endpoint being either an HMC or a logical partition of the data processing system; and forwarding the generic transport primitive from the Source Endpoint to a target Endpoint via the hypervisor. The forwarding includes receiving the transport primitive at the hypervisor and forwarding the cargo of the transport primitive to the target Endpoint. The cargo includes the request or response from the Source Endpoint, and the hypervisor forwards the cargo absent inspection or parsing of that cargo. The target Endpoint is the other one of the logical partition or the hardware management console of the data processing system.

Bin Chen - One of the best experts on this subject based on the ideXlab platform.

  • characteristics of drug combination therapy in oncology by analyzing clinical trial data on clinicaltrials gov
    Pacific Symposium on Biocomputing, 2014
    Co-Authors: Marina Sirota, Atul J Butte, Bin Chen
    Abstract:

    Within the past few decades, drug combination therapy has been intensively studied in oncology and other complex disease areas, especially during the early drug discovery stage, as drug combinations have the potential to improve treatment response, minimize development of resistance or minimize adverse events. In the present, designing combination trials relies mainly on clinical and empirical experience. While empirical experience has indeed crafted efficacious combination therapy clinical trials (combination trials), however, garnering experience with patients can take a lifetime. The preliminary step to eliminating this barrier of time, then, is to understand the current state of combination trials. Thus, we present the first large-scale study of clinical trials (2008-2013) from ClinicalTrials.gov to compare combination trials to non-combination trials, with a focus on oncology. In this work, we developed a classifier to identify combination trials and oncology trials through natural language processing techniques. After clustering trials, we categorized them based on selected characteristics and observed trends present. Among the characteristics studied were primary purpose, funding Source, Endpoint measurement, allocation, and trial phase. We observe a higher prevalence of combination therapy in oncology (25.6% use combination trials) in comparison to other disease trials (6.9%). However, surprisingly the prevalence of combinations does not increase over the years. In addition, the trials supported by the NIH are significantly more likely to use combinations of drugs than those supported by industry. Our preliminary study of current combination trials may facilitate future trial design and move more preclinical combination studies to the clinical trial stage.