About: Host (network) is a research topic. Over the lifetime, 45141 publications have been published within this topic receiving 606033 citations. The topic is also known as: host & box.
TL;DR: In this article, the authors propose a data replication system having a redundant configuration including dual Fiber Channel fabric links interconnecting each of the components of two data storage sites, wherein each site comprises a host computer and associated data storage array, with redundant array controllers and adapters.
Abstract: A data replication system having a redundant configuration including dual Fiber Channel fabric links interconnecting each of the components of two data storage sites, wherein each site comprises a host computer and associated data storage array, with redundant array controllers and adapters. The system includes the capability of simultaneous bi-directional remote data replication which permits the system to operate in an ‘extended cluster’ mode, as if each of the remote storage arrays were local relative to the respective remote host. The system further includes the concept of ‘home’ and ‘alternate’ storage nodes, which provide for automatic node failover from a primary to a designated alternate node, without necessitating re-booting of the remote node. Write data transfers are potentially host retry-able at both sites; upon failure of controllers at one site, the host re-issues the same write on other site.
TL;DR: In this paper, a method for evaluating historical metrics in selecting a physical host for execution of a virtual machine includes receiving, by an analysis engine in communication with the host recommendation service, a plurality of metrics associated with the virtual machine.
Abstract: A method for evaluating historical metrics in selecting a physical host for execution of a virtual machine includes receiving, by a host recommendation service, an identification of a virtual machine and a request for an identification of a physical host on which to execute the virtual machine. The method includes retrieving, by an analysis engine in communication with the host recommendation service, a plurality of metrics for each of a plurality of physical hosts available for executing the virtual machine, the plurality of metrics including a first metric identifying a current level of load on each of the plurality of physical hosts and including a second metric identifying a level of load on each of the plurality of physical hosts during a time period prior to the current time period. The method includes retrieving, by the analysis engine, a plurality of metrics associated with the virtual machine, the plurality of metrics including at least one metric identifying a level of load placed on a physical host by the virtual machine during a time period prior to the current time period. The method includes determining, by the analysis engine, a level of priority associated with at least one of the first metric identifying a current level of load on each of the plurality of physical hosts and the second metric identifying a level of load on each of the plurality of physical hosts during a time period prior to the current time period. The method includes assigning, by the analysis engine, a score to each of the plurality of physical hosts, responsive to the retrieved pluralities of metrics and to the determined level of priority. The method includes transmitting, by the host recommendation service, an identification of one of the plurality of physical hosts on which to execute the virtual machine.
TL;DR: In this article, the authors propose a zero-copy I/O sending and receiving optimization for virtualized computer system environments running one or more virtual machines that obviate the extra host operating system (0/S) copying steps required for sending and receive packets of data over a network connection.
Abstract: Techniques for virtualized computer system environments running one or more virtual machines that obviate the extra host operating system (0/S) copying steps required for sending and receiving packets of data over a network connection, thus eliminating major performance problems in virtualized environment. Such techniques include methods for emulating network I/O hardware device acceleration-assist technology providing zero-copy I/O sending and receiving optimizations. Implementation of these techniques require a host 0/S to perform actions including, but not limited to: checking of the address translations (ensuring availability and data residency in physical memory), checking whether the destination of a network packet is local (to another virtual machine within the computing system), or across an external network; and, if local, checking whether either the sending destination VM, receiving VM process, or both, supports emulated hardware accelerated-assist on the same physical system. This optimization, in particular, provides a further optimization in that the packet data checksumming operations may be omitted when sending packets between virtual machines in the same physical system.
TL;DR: In this paper, a host device is coupled to a peripheral device such as a multi media card or the like, where the peripheral device includes a solid state data storage segment and the host device has means for initiating a defragmentation function, such as registers for comparing a current performance measure against a threshold performance metric.
Abstract: A host device is coupled to a peripheral device such as a multi media card or the like, where the peripheral device includes a solid state data storage segment. The peripheral device has means for initiating a defragmentation function, such as registers for comparing a current performance measure against a threshold performance metric, or block validity parameters received form the host device for the data storage segment of the peripheral device. Once met, the means for initiating cause a defragmentation function to execute on the data storage segment. A logical layer of the data storage segment is accessed by the host device and a physical layer of the data storage segment is accessed by the peripheral device. The defragmentation program may be resident on either the host or peripheral device. Defragmentation may be enabled to execute automatically once initiated, such as by a continuous or periodic background scan of current performance of the data storage segment.
TL;DR: In this paper, consumers can centrally store, manage and distribute information using an information account stored in a central data repository, which is accessible from any client device, without the need to permanently store or install proprietary software thereon.
Abstract: Consumers may centrally store, manage and distribute information using an information account stored in a central data repository. The information account is accessible from any client device, without the need to permanently store or install proprietary software thereon. The information account comprises a plurality of consumer information elements stored in a tagged data format. A host server hosts a database management system for accessing the information account. A client-side application may manage communications with host server. Alternatively, the client device may interact with a vendor server that executes a server-side application for managing communications with the host server. In response to a request from the consumer, the host server may filter selected consumer information elements from the information account and transmit the filtered consumer information elements to the client-side or server-side application. The filtered consumer information elements may then be automatically integrated into a vendor business process on behalf of the consumer, if desired.