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Titlebook: New Frontiers in Information and Software as Services; Service and Applicat Divyakant Agrawal,K. Sel?uk Candan,Wen-Syan Li Conference proce

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21#
發(fā)表于 2025-3-25 05:46:16 | 只看該作者
22#
發(fā)表于 2025-3-25 10:21:05 | 只看該作者
Study of Software as a Service Support Platform for Small and Medium Businessesinfrastructure and application sharing architecture so as to get great benefit from the economy of scale. In this paper, we describe the evolution of the small and medium businesses (SMB) oriented SaaS ecosystem and its key challenges. On particular problem we focus on is how to leverage massive mul
23#
發(fā)表于 2025-3-25 13:10:00 | 只看該作者
Design Patterns for Cloud Servicesences between delivering software as services in the cloud for millions to use through their occasionally disconnected clients, versus distributing software as bits for millions to run on their PCs. In particular, cloud services need new design patterns and programming models for their partitioned d
24#
發(fā)表于 2025-3-25 17:59:38 | 只看該作者
Secure Data Management Service on Cloud Computing Infrastructures The service provides data management for its customers and thus obviates the need for the service user to purchase expensive hardware and software, deal with software upgrades and hire professionals for administrative and maintenance tasks. Since using an external database service promises reliable
25#
發(fā)表于 2025-3-25 20:33:56 | 只看該作者
26#
發(fā)表于 2025-3-26 00:40:00 | 只看該作者
Runtime Web-Service Workflow Optimizationl tools for staging successful networked business to business (B2B) or business to customer (B2C) transactions..One of the important online interaction quality metrics is perceived response time. The ability to sustain a high throughput and provide fast service effectively means more business and as
27#
發(fā)表于 2025-3-26 05:39:18 | 只看該作者
28#
發(fā)表于 2025-3-26 10:45:43 | 只看該作者
Data-Utility Sensitive Query Processing on Server Clusters to Support Scalable Data Analysis Serviceeasy to parallelize has resulted in increasing popularity of batch-oriented, highly-parallelizable cluster frameworks to support data analysis services. These frameworks, however, are known to have shortcomings for certain application domains. For example, in many data analysis applications, the uti
29#
發(fā)表于 2025-3-26 13:55:08 | 只看該作者
30#
發(fā)表于 2025-3-26 19:59:16 | 只看該作者
The HiBench Benchmark Suite: Characterization of the MapReduce-Based Data Analysisharacterization of Hadoop, an open-source implementation of MapReduce. We first introduce HiBench, a new benchmark suite for Hadoop. It consists of a set of Hadoop programs, including both synthetic micro-benchmarks and real-world Hadoop applications. We then evaluate and characterize the Hadoop fra
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