Intensive Scheduling PDF Download
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Author | : David S. Hottenstein |
Publisher | : Corwin |
Total Pages | : 128 |
Release | : 1998-01-21 |
Genre | : Education |
ISBN | : |
Download Intensive Scheduling Book in PDF, ePub and Kindle
Who benefits if your school changes to intensive scheduling? Your teachers will have fewer students to deal with, and they'll feel less stressed. Your students will have fewer teachers to deal with, and they'll be able to focus more clearly on each subject. And you, your staff, and your students can work together to build a true learning organization. Set important goals for everyone involved: Implement a professional development program to give teachers ongoing preparation and maximize teaching effectiveness. Raise standards for your school's curriculum, and reap the benefits of regular assessments. Find out how to balance what students need to know with the skills they need to learn.
Author | : Daniel Oliveira |
Publisher | : Springer Nature |
Total Pages | : 161 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 3031018729 |
Download Data-Intensive Workflow Management Book in PDF, ePub and Kindle
Workflows may be defined as abstractions used to model the coherent flow of activities in the context of an in silico scientific experiment. They are employed in many domains of science such as bioinformatics, astronomy, and engineering. Such workflows usually present a considerable number of activities and activations (i.e., tasks associated with activities) and may need a long time for execution. Due to the continuous need to store and process data efficiently (making them data-intensive workflows), high-performance computing environments allied to parallelization techniques are used to run these workflows. At the beginning of the 2010s, cloud technologies emerged as a promising environment to run scientific workflows. By using clouds, scientists have expanded beyond single parallel computers to hundreds or even thousands of virtual machines. More recently, Data-Intensive Scalable Computing (DISC) frameworks (e.g., Apache Spark and Hadoop) and environments emerged and are being used to execute data-intensive workflows. DISC environments are composed of processors and disks in large-commodity computing clusters connected using high-speed communications switches and networks. The main advantage of DISC frameworks is that they support and grant efficient in-memory data management for large-scale applications, such as data-intensive workflows. However, the execution of workflows in cloud and DISC environments raise many challenges such as scheduling workflow activities and activations, managing produced data, collecting provenance data, etc. Several existing approaches deal with the challenges mentioned earlier. This way, there is a real need for understanding how to manage these workflows and various big data platforms that have been developed and introduced. As such, this book can help researchers understand how linking workflow management with Data-Intensive Scalable Computing can help in understanding and analyzing scientific big data. In this book, we aim to identify and distill the body of work on workflow management in clouds and DISC environments. We start by discussing the basic principles of data-intensive scientific workflows. Next, we present two workflows that are executed in a single site and multi-site clouds taking advantage of provenance. Afterward, we go towards workflow management in DISC environments, and we present, in detail, solutions that enable the optimized execution of the workflow using frameworks such as Apache Spark and its extensions.
Author | : Rebecca Zumeta Edmonds |
Publisher | : Guilford Publications |
Total Pages | : 186 |
Release | : 2019-05-23 |
Genre | : Education |
ISBN | : 1462539319 |
Download Essentials of Intensive Intervention Book in PDF, ePub and Kindle
Few evidence-based resources exist for supporting elementary and secondary students who require intensive intervention--typically Tier 3 within a multi-tiered system of support (MTSS). Filling a gap in the field, this book brings together leading experts to present data-based individualization (DBI), a systematic approach to providing intensive intervention which is applicable to reading, math, and behavior. Key components of the DBI process are explained in detail, including screening, progress monitoring, and the use and ongoing adaptation of validated interventions. The book also addresses ways to ensure successful, sustained implementation and provides application exercises and FAQs. Readers are guided to access and utilize numerous free online DBI resources--tool charts, planning materials, sample activities, downloadable forms, and more.
Author | : Frederic Magoules |
Publisher | : CRC Press |
Total Pages | : 231 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 1466507837 |
Download Cloud Computing Book in PDF, ePub and Kindle
As more and more data is generated at a faster-than-ever rate, processing large volumes of data is becoming a challenge for data analysis software. Addressing performance issues, Cloud Computing: Data-Intensive Computing and Scheduling explores the evolution of classical techniques and describes completely new methods and innovative algorithms. The
Author | : John M. Frick |
Publisher | : |
Total Pages | : 156 |
Release | : 1998 |
Genre | : Block scheduling (Education) |
ISBN | : |
Download Intensive Scheduling Book in PDF, ePub and Kindle
Author | : Rod Bisi |
Publisher | : |
Total Pages | : 100 |
Release | : 1997 |
Genre | : Educational change |
ISBN | : |
Download Teachers' Feelings Toward Intensive Scheduling Book in PDF, ePub and Kindle
Author | : Liu Wenyin |
Publisher | : Springer Science & Business Media |
Total Pages | : 614 |
Release | : 2009-10-26 |
Genre | : Business & Economics |
ISBN | : 3642052495 |
Download Web Information Systems and Mining Book in PDF, ePub and Kindle
Researchers and professionals
Author | : Visha Ann Ritter |
Publisher | : |
Total Pages | : 128 |
Release | : 1995 |
Genre | : Schedules, School |
ISBN | : |
Download An Assessment of Intensive Scheduling Book in PDF, ePub and Kindle
Author | : Karen A. Rapp |
Publisher | : |
Total Pages | : 60 |
Release | : 1996 |
Genre | : |
ISBN | : |
Download Intensive Scheduling Book in PDF, ePub and Kindle
Author | : Joanna Kołodziej |
Publisher | : Springer |
Total Pages | : 171 |
Release | : 2018-01-30 |
Genre | : Technology & Engineering |
ISBN | : 3319737678 |
Download Modeling and Simulation in HPC and Cloud Systems Book in PDF, ePub and Kindle
This book consists of eight chapters, five of which provide a summary of the tutorials and workshops organised as part of the cHiPSet Summer School: High-Performance Modelling and Simulation for Big Data Applications Cost Action on “New Trends in Modelling and Simulation in HPC Systems,” which was held in Bucharest (Romania) on September 21–23, 2016. As such it offers a solid foundation for the development of new-generation data-intensive intelligent systems. Modelling and simulation (MS) in the big data era is widely considered the essential tool in science and engineering to substantiate the prediction and analysis of complex systems and natural phenomena. MS offers suitable abstractions to manage the complexity of analysing big data in various scientific and engineering domains. Unfortunately, big data problems are not always easily amenable to efficient MS over HPC (high performance computing). Further, MS communities may lack the detailed expertise required to exploit the full potential of HPC solutions, and HPC architects may not be fully aware of specific MS requirements. The main goal of the Summer School was to improve the participants’ practical skills and knowledge of the novel HPC-driven models and technologies for big data applications. The trainers, who are also the authors of this book, explained how to design, construct, and utilise the complex MS tools that capture many of the HPC modelling needs, from scalability to fault tolerance and beyond. In the final three chapters, the book presents the first outcomes of the school: new ideas and novel results of the research on security aspects in clouds, first prototypes of the complex virtual models of data in big data streams and a data-intensive computing framework for opportunistic networks. It is a valuable reference resource for those wanting to start working in HPC and big data systems, as well as for advanced researchers and practitioners.