By Wenhong Dr. Tian, Yong Dr. Zhao
Optimized Cloud source administration and Scheduling identifies study instructions and applied sciences that might facilitate effective administration and scheduling of computing assets in cloud facts facilities helping clinical, business, company, and purchaser functions. It serves as a useful reference for structures architects, practitioners, builders, researchers and graduate point students.
- Explains tips on how to optimally version and time table computing assets in cloud computing
- Provides extensive caliber research of alternative load-balance and energy-efficient scheduling algorithms for cloud facts facilities and Hadoop clusters
- Introduces real-world functions, together with company, clinical and similar case studies
- Discusses various cloud structures with actual test-bed and simulation tools
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Additional info for Optimized cloud resource management and scheduling : theory and practice
Example text
The data model includes rows, columns, and corresponding timestamps, with all of the data stored in the cells. BigTable contents are divided by rows, and many rows form a tablet, which is saved to a server node. Similar to the aforementioned systems, BigTable is also a joint design of client and server, making performance meet the needs of applications. The BigTable system relies on the underlying structure of a cluster system, a distributed cluster task scheduler, and the GFS, as well as a distributed lock service Chubby.
When it is running, the system provides an efficient workflow engine for scheduling and load balancing, and it can interact with resource management systems, such as PBS and Condor, to execute the tasks. Pregel is a distributed programming framework for graph algorithms that can be used in graph traversal, shortest path, and PageRank computing. It adopts the iterative computing model: In each round, every vertex processes the messages that are received in the last round, sends messages to other vertices, and updates status and topology (outgoing edges, incoming edges).
Other cities, such as Tianjin, Guangzhou, Wuhan, Xi’an, Chongqing, and Chengdu, have also introduced corresponding Cloud computing development plans or have set up Cloud computing alliances to carry out research, development, and trials of Cloud computing. But the popularity of Cloud computing in China is still largely limited by infrastructure and a lack of large-scale industrial applications, so Cloud computing has not yet gained its footing. The popularity of the Internet of Things and Cloud computing technology relate to the idea that they are humanity’s great vision, so that it can achieve large-scale, ubiquitous, and collaborative information collection, processing, and application.