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Titlebook: Distributed Computing and Internet Technology; 13th International C Padmanabhan Krishnan,P. Radha Krishna,Laxmi Parida Conference proceedin

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41#
發(fā)表于 2025-3-28 16:44:37 | 只看該作者
42#
發(fā)表于 2025-3-28 21:05:37 | 只看該作者
Scalable IQRA_IG Algorithm: An Iterative MapReduce Approach for Reduct Computationovide efficient selection of attributes for the model without loss of information. Quick Reduct Algorithm is a key Reduct computation approach in Complete Symbolic Decision Systems. Authors have earlier implemented a scalable approach for Quick Reduct Algorithm as In-place MapReduce based Quick Redu
43#
發(fā)表于 2025-3-29 02:39:01 | 只看該作者
Simulation of MapReduce Across Geographically Distributed Datacentres Using CloudSimcessing data locally at each datacentre and aggregating the outputs at a single datacentre. Both involve expensive data transfers over wide area networks (WAN). In this work, we analyzed different models proposed for distributed MapReduce in various papers and selected a feasible model to simulate M
44#
發(fā)表于 2025-3-29 04:17:39 | 只看該作者
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發(fā)表于 2025-3-29 09:33:56 | 只看該作者
CO2 Penalty and Disaster Aware Data Center and Service Placement for Cost Minimizationrld, data centers should be placed in such a manner that there should be no data loss or service disruption, the costs incurred are minimum possible amounts, latency is minimized and it operates in a “green” way, i.e., minimal CO. emissions and runs on green energy. The service/content within a data
46#
發(fā)表于 2025-3-29 12:33:41 | 只看該作者
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發(fā)表于 2025-3-29 19:20:37 | 只看該作者
48#
發(fā)表于 2025-3-29 20:40:09 | 只看該作者
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發(fā)表于 2025-3-30 01:12:25 | 只看該作者
50#
發(fā)表于 2025-3-30 05:10:19 | 只看該作者
Analyzing Protocol Security Through Information-Flow Controlecifications do not facilitate/force the designer to make explicit goals, intentional assumptions or the preceding history across interactions among the stakeholders. This has resulted in gaps in specifications which in turn have led to problems such as: (i) inefficient/non-optimal protocol designs,
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