Use Case Sample Clauses

Use Case. The purpose of tokens in 'read' and 'bring online' primarily is to steer data streams or better to steer the location of files. The space reservation aspect of tokens is of minor interest. An example is that the same dataset may be needed by the reprocessing system as well as for FTS export or user analysis. It would be envisioned that this file is served to the various competing processes by different locations in the system mainly not to interfere or slowdown expensive reprocessing.

Use Case. In order to evaluate the prototype, a dedicated server was setup in AUTH data center with the following specifications:  Operating System: Windows 2008 Server 64bit  CPU: 2 Xeon CPUs 2.5Ghz  RAM: 4 GB  Hard Disk: 20GB (SAS) plus 60GB (SATA) Remote access and networking were also established and the prototype application was installed and tested continuously during the last stages of development from September 2011 to November 2011. The final test was conducted from the 22nd to the 24th of November 2011. A ping server with high traffic was monitored during this time and 2 URL filters were set a) *xxxxxxxx.xxx/0000* and

Use Case. ‌ In this section, we present a concrete use case with QoS indicators and related target. The use case will exemplify and later be used to validate our method. Thus, here we show the resources provisioned and detail how the application/ system/service is deployed in the modelled cloud. Providers such as Amazon EC2 and Microsoft Azure employ a methodology for provisioning resources in which the clients are responsible for giving a precise estimate of the necessary resources and selecting the request to be contracted themselves [17]. However, it should be remembered that the clients do not always have the technical knowledge to handle the provisioning of resources, and such task could be burdensome for them. For this reason, solutions as the one presented in this paper are necessary. Our solution intents to ensure the maximum use of computational resources, but leading the clients to get the right amount of and pay a fair price for the services to achieve the required QoS. To address how the application/system/service is deployed in the cloud modelled, our use case assumes that the customer indicates the application (service) that they would like to deploy in the cloud modelled. The customer will also set the maximum cost that they would like to pay and the QoS required. From such input, our method will return the range of computational resource that best satisfy the customer require- ments to reach a satisfactory SLA. In our use case, we suppose two clients with two bench- mark applications: Apache [1] and the Smallpt [2] bench- marks. Apache is an I/O bound application based on a repos- itory of files. Smallpt is a CPU bound application based on image rendering. Each one of these applications can have a different behaviour based on a Cloudlet7 length variation. For instance, a minimum workload is generated to establish tasks demanding less computational power, then a maximum of computational power is spend solving bound tasks. It is a dynamic system since the workload is generated following the type of service that the client wants to deploy in the cloud. We are using the most common QoS parameters for SLA, according to [14], in our use case: makespan and cost. They were properly introduced in section III. A further two parameters are also considered: computational capacity of the Virtual Machines (VMs) and the workload. The SLA generator applied here is the same as described in [9], where a Gaussian distribution defines values for the QoS parameters. Tabl...

Use Case. MTQIP shall share MTQIP aggregated data set data with the Anesthesiology Performance Improvement and Reporting Exchange (ASPIRE) for the purpose of perioperative care quality improvement. ASPIRE may use MTQIP data for identification of patient outcomes. In exchange for sharing MTQIP data for the purpose(s) articulated ASPIRE will in turn share ASPIRE data with MTQIP to assist MTQIP to understand the relationship between anesthesia variables and outcome(s) to improve care and will be used in accordance with all uses enumerated in the Agreement. This Amendment, coupled with the underlying terms and conditions of the Agreement, contains and merges all of the terms and conditions between the parties with respect to the subject matter hereof without modifications. Participant: By: Print name: Title: Date of Signature: Address for Notice: Regents of the University of Michigan: By: Print name: _Jeanne Xxxxxxxxxx Title: Chief Compliance Officer Date of Signature: Address for Notice: University of Michigan NCRC MTQIP Building 16, room 139E 0000 Xxxxxxxx Xxxx Xxx Xxxxx, XX 00000-0000

Use Case. Autopilot Drone (AD) Overview

Use Case. For use by Client and in assessing and managing risk with respect to Regulatory Compliance Obligations (as defined in Section 1 of the Additional Terms and Conditions)

Use Case. MTQIP shall share MTQIP aggregated data set data with MSQC for quality improvement. MSQC shall share MSQC aggregated data set data with MTQIP for quality improvement. The MSQC data set contains a comprehensive cadre of perioperative variables for patients who undergo an operative intervention. The MTQIP data set contains perioperative variables for patients who may or may not undergo an operative intervention. MSQC-MTQIP data aggregation allows for identification of potential care pathways for patients at high risk of mortality and/or complications in both operative and non-operative instances. This information can be used to aid clinicians in providing the safest care at the safest time.

Use Case. This language targets residents of certain counties. This language should be used instead of restrictions for residents of a certain state.

Use Case. Upload and Register a File

Use Case. Smart warehouse (SW) Overview Purpose