Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
PROBLEM TO BE SOLVED: To provide a method, apparatus and system for dynamically adjusting transcoding parameters to increase the benefits of transcoding. SOLUTION: Methods of adaptation are designed to cope with the variability of network characteristics and of the size of transcoded images. This invention also provides a method and apparatus to enable the transcoding proxy to adjust a quality-size tradeoff on a per-image and/or a per-client basis. An adaptive transcoder chooses different parameters for each object, and provides performance improvement. The invention further provides a general framework for making policy decision taking into account available bandwidth, content and type of image, and user preferences. The invention also includes methods for generating feedback about the choice of optimal transcoding parameters to the user. COPYRIGHT: (C)2009,JPO&INPIT
Abstract:
PROBLEM TO BE SOLVED: To provide a method and device and system for dynamically adjusting an exchange coding parameter for increasing the merits of exchange coding. SOLUTION: An appropriating method is designated for processing network characteristics and the variety of the size of an image to be exchange-coded. Also, the trade-off of quality and size can be adjusted for each image or client 230 by an exchange coded proxy. An appropriate exchange coder selects a different parameter for each object for improving performance. Moreover, policy decision is operated by a general frame work under the consideration of valid band width, image contents and type, and user selection. Also, feedback related with the selection of the optimal coding parameter is generated for a user.
Abstract:
The present invention provides methods, devices and systems for dynamically adjusting transcoding parameters so as to increase the benefits of transcoding. Methods of adaptation are designed to cope with the variability of network characteristics and of the size of transcoded images. The invention also provides a method and apparatus to enable the transcoding proxy to adjust a quality-size tradeoff on a per-image and/or a per-client basis. The adaptive transcoder chooses different parameters for each object, and provides performance improvements. The invention further provides a general framework for making policy decisions taking into account available bandwidth, content and type of image, and user preferences. The invention also includes methods for generating feedback about the choice of optimal transcoding parameters to the user.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
The present invention provides methods, devices and systems for dynamically adjusting transcoding parameters so as to increase the benefits of transcoding. Methods of adaptation are designed to cope with the variability of network characteristics and of the size of transcoded images. The invention also provides a method and apparatus to enable the transcoding proxy to adjust a quality-size tradeoff on a per-image and/or a per-client basis. The adaptive transcoder chooses different parameters for each object, and provides performance improvements. The invention further provides a general framework for making policy decisions taking into account available bandwidth, content and type of image, and user preferences. The invention also includes methods for generating feedback about the choice of optimal transcoding parameters to the user.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
Automated or autonomic techniques for managing deployment of one or more resources in a computing environment based on varying workload levels. The automated techniques may comprise predicting a future workload level based on data associated with the computing environment. Then, an estimation is performed to determine whether a current resource deployment is insufficient, sufficient, or overly sufficient to satisfy the future workload level. Then, one or more actions are caused to be taken when the current resource deployment is estimated to be insufficient or overly sufficient to satisfy the future workload level. Actions may comprise resource provisioning, resource tuning and/or admission control.
Abstract:
The invention provides a solution for passively monitoring a computer system. In an embodiment, a virtual server 330 is accessed by an indexing agent 342 that is contained in an indexing appliance 340. The virtual server is located on a physical server 310 and is one of a plurality of virtual system instances on a common physical server. The indexing appliance is separate from the virtual server and, as such, the indexing agent is not executed within the virtual server, itself. The indexing agent retrieves a virtual image 332 of the virtual server which may include instructing a virtualization hypervisor (232) of the virtual server to perform a checkpoint operation or snapshot of the virtual image. The indexing agent indexes the virtual image to extract features 334 indicative of changes in the virtual server. These features are analyzed to perform passive monitoring of the virtual server. Since the indexing appliance is separate from the virtual server for which passive monitoring is being performed, the indexing agent can perform the retrieving and the indexing without utilizing agents executing within the virtual server.