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 com
CLOUD COMPUTING: data-intensive computing and scheduling
โ Scribed by Magoules, Frederic. Pan Jie. Teng Fei
- Publisher
- Crc Press
- Year
- 2019
- Tongue
- English
- Leaves
- 230
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Table of Contents
Overview of Cloud Computing. Resource Scheduling for Cloud Computing. Game Theoretical Allocation in a Cloud Datacenter. Multidimensional Data Analysis in a Cloud Datacenter. Data-Intensive Applications with MapReduce. Large-Scale Multidimensional Data Aggregation. Multidimensional Data Analysis Optimization. Real-Time Scheduling with MapReduce. Future for Cloud Computing. Bibliography. Index.
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