By Chang-Jie Guo, Wei Sun, Zhong-Bo Jiang, Ying Huang, Bo Gao, Zhi-Hu Wang (auth.), Divyakant Agrawal, K. Selçuk Candan, Wen-Syan Li (eds.)
The expanding charges of constructing and holding infrastructures for providing prone to shoppers have ended in the emergence of cloud dependent 3rd get together provider services renting networks, computation energy, garage, or even complete software program program suites. however, provider consumers call for aggressive pricing, carrier point agreements, and elevated flexibility and scalability. provider shoppers additionally anticipate technique and information defense, 24/7 provider availability, and compliance with privateness regulations.
This booklet makes a speciality of such demanding situations linked to the layout, implementation, deployment, and administration of information and software program as a provider. The 12 papers offered during this quantity have been contributed by way of leaders in academia and undefined, and have been reviewed and supervised by means of a professional editorial board. They describe state of the art methods in components like provider layout, provider safety, provider optimization, and repair migration.
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Additional info for New Frontiers in Information and Software as Services: Service and Application Design Challenges in the Cloud
Each group of the intermediate map output are then processed by a reduce function in parallel to generate the aggregated final results. Design Patterns for Cloud Services 43 At a high level, a MapReduce program essentially performs a group-byaggregation in parallel over a cluster of servers, as illustrated in Fig. 8. The application has one input that can be trivially partitioned. In the first stage a map function, which dictates how the grouping is performed, is applied to the partitioned input by different machines in parallel.
Physically, objects in Dynamo are dynamically assigned to different storage nodes using consistent hashing . , the largest hash value wraps around to the smallest hash value). Each storage node is also hashed to a value in the space, which represents its position on the ring. A specific object is assigned to a storage node by first hashing its key to yield its position on the ring, and then walking the ring clockwise to find the first node with a position larger than the object’s position. Therefore a storage node is responsible for the region in the ring between it and its predecessor in the ring; consequently the departure or arrival of a node only affects its immediate neighbors and other nodes remain unaffected.
For example, to improve the configuration and customization capability for reporting function of the application, the actions need to be identified to support “Add/Change dataset”, “Add/Change query rules” and “Add/Change report style (chart, table, graph)”. If we go through every configuration and customization perspectives according to figure 3, we can generate a long list of actions which implies very complex design challenges for the SaaS application. -J. Guo et al. It is critical to have well designed principals and approach to tackle all the actions in a unified and consistent way.