Screen LibraryCloud computing for geospatial big data analytics : intelligent edge, fog and mist computing /
This book introduces research findings in cloud, edge, fog, and mist computing and discusses their applications in various fields using geospatial data. It addresses a number of problems of cloud computing and big data, such as scheduling and security issues using different techniques, which researc...
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| Group Author: | ; ; ; |
|---|---|
| Published: |
Springer,
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| Publisher Address: | Cham, Switzerland : |
| Publication Dates: | [2019] |
| Literature type: | Book |
| Language: | English |
| Series: |
Studies in Big Data,
49 |
| Subjects: | |
| Summary: |
This book introduces research findings in cloud, edge, fog, and mist computing and discusses their applications in various fields using geospatial data. It addresses a number of problems of cloud computing and big data, such as scheduling and security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge, and mist computing play a role in addressing these issues. By exploring emerging advances in cloud computing and |
| Carrier Form: | xii, 289 pages : illustrations (some color) ; 24 cm. |
| Bibliography: | Includes bibliographical references. |
| ISBN: |
9783030033583 3030033589 |
| Index Number: | G70 |
| CLC: | P208.2 |
| Call Number: | P208.2/C647 |
| Contents: | Big Data Scientific Workflows in the Cloud: Challenges and Future Prospects -- Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing -- Trust-Based Access control in Cloud Computing using Machine Learning -- Cloud Security Ontology (CSO) -- Cloud Based Supply Chain Networks -- Principles and Practices -- Parallel Computation of a MMDBM algorithm on GPU mining with Big data -- Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities -- A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data -- Geospatial Big Data, Analytics |