A Real Time Optimizing Mobile Operating System: An Interactive Context

Language: English

Published by LAP LAMBERT Academic Publishing Aug 2026, 2026

6630413288 / 9786630413281

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This item is printed on demand - Print on Demand Titel. Neuware -Predicting the execution time of workflow tasks in a cloud environment is vital for optimizing resource utilization and meeting service level agreements (SLAs). In this study, we propose a Two-Stage Machine Learning Approach for Workflow Task Execution Time Prediction. In the first stage, we employ a task classifica-tion model to categorize tasks into groups based on their expected execution times (e.g., short, medium, long). The proposed two-stage approach aims to enhance prediction accuracy and interpretability by leveraging both classification and re-gression techniques. We evaluate the performance of the model using historical data, considering metrics such as accuracy, Mean Absolute Error, and Root Mean Squared Error. Finally, we discuss the deployment and monitoring of the model in a cloud environment, emphasizing its adaptability to evolving infrastructure and workload patterns. Many methods, including resource provisioning and scheduling, depend on predict-ing the workflow activities' performance for changing input data. On the other hand, producing such estimates in the cloud is challenging. 72 pp. Englisch.…

Seller Inventory # 9786630413281

Title
A Real Time Optimizing Mobile Operating System: An Interactive Context
Author
Ganesh Misal
Publisher
LAP LAMBERT Academic Publishing Aug 2026
Publication year
2026
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6630413288
ISBN 13
9786630413281
Item weight
125 grams
Dimensions
220x150x5 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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