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1. |
Record Nr. |
UNISA996465842303316 |
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Titolo |
Job Scheduling Strategies for Parallel Processing [[electronic resource] ] : 14th International Workshop, JSSPP 2009, Rome, Italy, May 29, 2009, Revised Papers / / edited by Eitan Frachtenberg, Uwe Schwiegelshohn |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009 |
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ISBN |
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Edizione |
[1st ed. 2009.] |
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Descrizione fisica |
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1 online resource (X, 301 p.) |
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Collana |
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Theoretical Computer Science and General Issues, , 2512-2029 ; ; 5798 |
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Classificazione |
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Disciplina |
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Soggetti |
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Operating systems (Computers) |
Software engineering |
Microprocessors |
Computer architecture |
Computers |
Logic design |
Operating Systems |
Software Engineering |
Processor Architectures |
Hardware Performance and Reliability |
Logic Design |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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Dynamic Resource-Critical Workflow Scheduling in Heterogeneous Environments -- Decentralized Grid Scheduling with Evolutionary Fuzzy Systems -- Analyzing the EGEE Production Grid Workload: Application to Jobs Submission Optimization -- The Resource Usage Aware Backfilling -- The Gain of Overbooking -- Modeling Parallel System Workloads with Temporal Locality -- Scheduling Restartable Jobs with Short Test Runs -- Effects of Topology-Aware Allocation Policies on Scheduling Performance -- Contention-Aware Scheduling with Task Duplication -- Job Admission and Resource Allocation in Distributed |
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Streaming Systems -- Scalability Analysis of Job Scheduling Using Virtual Nodes -- Competitive Two-Level Adaptive Scheduling Using Resource Augmentation -- Job Scheduling with Lookahead Group Matchmaking for Time/Space Sharing on Multi-core Parallel Machines -- Adaptive Scheduling for QoS Virtual Machines under Different Resource Allocation – Performance Effects and Predictability -- Limits of Work-Stealing Scheduling. |
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Sommario/riassunto |
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This book constitutes the revised papers of the 14th International Workshop on Job Scheduling Strategies for Parallel Processing, JSSPP 2009, which was held in Rome, Italy, in May 2009. The 15 revised papers presented were carefully reviewed and selected from 25 submissions. The papers cover all current issues of job scheduling strategies for parallel processing; this year the conference had an increasing trend towards heterogeneous and multi-core architectures. |
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2. |
Record Nr. |
UNINA9910627240503321 |
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Titolo |
Artificial Intelligence and Machine Learning for Healthcare : Vol. 2: Emerging Methodologies and Trends / / edited by Chee Peng Lim, Ashlesha Vaidya, Yen-Wei Chen, Vaishnavi Jain, Lakhmi C. Jain |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
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ISBN |
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Edizione |
[1st ed. 2023.] |
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Descrizione fisica |
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1 online resource (282 pages) |
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Collana |
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Intelligent Systems Reference Library, , 1868-4408 ; ; 229 |
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Disciplina |
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Soggetti |
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Medical informatics |
Artificial intelligence |
Health Informatics |
Artificial Intelligence |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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Artificial Intelligence for the future of medicine -- A Survival Analysis |
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Guide in Oncology -- Social Media Sentiment Analysis related to COVID-19 Vaccinations -- Healthcare support using data mining: A case study on stroke prediction. . |
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Sommario/riassunto |
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In line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. |
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