Aella Credit Case Study Aella Credit gains a competitive edge, improves identity verification, and grows from 5, tocustomers in several months. The organization provides access to credit to customers across Nigeria through an online loan-processing platform. Aella Credit uses AWS to support its loan-processing software and takes advantage of Amazon Rekognition for identity verification.
Over the years, the rovers beam back troves of exciting data including high-resolution images about the Red Planet. Now, Amazon Simple Workflow Service Amazon SWF joins some of the key computing technologies behind these missions, in enabling NASA scientists to reliably drive mission critical operations and efficiently process the growing knowledge we gather about our universe.
These missions continuously generate large volumes of data that must be processed, analyzed, and stored efficiently and reliably. The data processing pipelines for tactical operations and scientific analysis involve large scale ordered execution of steps with ample opportunity for parallelization across multiple machines.
Examples include generation of stereoscopic data from pairs of images, stitching of multi-gigapixel panoramas to immerse the scientist into the Martian terrain, and tiling of these gigapixel images so that the data can be loaded on demand.
There is a global community of operators and scientists who rely on such data. This community is frequently on a tight tactical operations timeline, as short as only a few hours.
To meet these needs, JPL engineers set a goal of processing and disseminating Mars images within minutes. It provides support for provisioning, storage, monitoring, and task orchestration of data processing jobs in the cloud.
However, there was a key missing piece: While queues provide an effective approach to distribute massively parallel jobs, engineers quickly ran into shortcomings.
The inability to express ordering and dependencies within queues made them unfit for complex workflows. JPL engineers also had to deal with duplication of messages when using queues. For example, when stitching images together, a duplicate task to stich an image would result in expensive redundant processing the result of which would drive further expensive computation as the pipeline proceeds to completion in futility.
JPL also has numerous use cases that go beyond brute data processing and require mechanisms to drive control flow.
While engineers were able to implement their data driven flows easily with MapReduce, they found it difficult to express every step in the pipeline within the semantics of the framework. Particularly, as the complexity of data processing increased, they faced difficulties in representing dependencies between processing steps and in handling distributed computation failures.
JPL engineers identified the need for an orchestration service with the following characteristics: To support mission critical operations Scalable: To facilitate parallel execution simultaneously from hundreds of Amazon EC2 instances Consistent: A scheduled task must be executed once with very high probability Expressive: Simple expression of complex workflows to expedite development Flexible:Case Study for Bank ATM Queuing Model S.
K. Dhar1, Tanzina Rahman2 (1,2 Department of EEE, University of Information Technology & Sciences(UITS), Bangladesh) Abstract: Queuing is the common activity of customers or people to avail the desired service, which . about crash locations can help in the identification and study of “secondary” crashes, i.e., those that occur in work-zone queues.
Case Study of Ostrich Bakery Oladejo M.O.1, Agashua N. U.2, 3Tamber J. A. to the study of queues. Real-world queuing problems queuing models () serves as a sample to deal with the waiting time and queue length of the customers‟ in the Ostrich Bakery. Using models derived by Ikpotokin based. Case Study for Bank ATM Queuing Model S. K. Dhar1, Tanzina Rahman2 (1,2 Department of EEE, University of Information Technology & Sciences(UITS), Bangladesh) Abstract: Queuing is the common activity of customers or people to avail the desired service, which . The number of finished parts has reduced 40 per cent. The average wait time has increased by almost 2 minutes while the average system total time has gone up by approximately 5 minutes. However the drill press utilization is per cent. This is due to the building up of queues on account of 3 .
Such a study is critical given that the American Traffic Safety Services Association (ATSSA) reported that 37% of work-zone fatalities occur in secondary crashes. Case Study Sample About Queues. Topics: Average, Arithmetic mean Pages: 7 ( words) Published: January 25, Background The manager of the Winter, Donna Shader, is considering how to restructure the front desk to reach an optimum level of staff efficiency and guest service.
Stack and queues are two important data structures used in computer programs. A data structure is used to organize data so that data can be easily accessed and .
Early application case studies The Babbage test system was used to study representative applications and kernels in various scientific fields to gain experience with the challenges and strategies needed to optimize code performance on the MIC architecture.
The study reveals that the traffic intensity (ρ) is Since we obtained the value of the traffic intensity, otherwise known as the utilization factor to be less the one (i.e. ρ.