Big Data and Cloud Computing de Neelanarayanan Venkataraman

Big Data and Cloud Computing: Lecture Notes in Electrical Engineering, cartea 1021

Editat de Neelanarayanan Venkataraman, Lipo Wang, Xavier Fernando, Ahmed F. Zobaa

en Limba Engleză Paperback – 11 iun 2024

Pentru a parcurge eficient acest volum, cititorul are nevoie de un nivel de experiență intermediar-avansat în arhitecturi distribuite și de o înțelegere solidă a infrastructurii IT. Big Data and Cloud Computing nu este un manual introductiv, ci o culegere tehnică ce presupune familiaritatea cu modelarea datelor și conceptele fundamentale de rețelistică. Putem afirma că lucrarea reprezintă o resursă critică pentru cei care navighează prin provocările actuale ale ecosistemelor cloud, oferind soluții documentate pentru optimizarea proceselor de calcul la scară largă.

Notăm cu interes organizarea riguroasă a materialului, structurat în cinci secțiuni tematice care reflectă fluxul logic al implementării tehnologiilor moderne. Cartea debutează cu arhitectura sistemelor, explorează procesarea prin MapReduce și se concentrează pe aspecte esențiale de securitate și virtualizare. Această progresie permite specialiștilor să identifice rapid studii de caz relevante pentru infrastructuri specifice. Cititorul care a aplicat ideile din Disruptive Technologies for Big Data and Cloud Applications va găsi aici o continuare firească, centrată pe cele mai recente progrese de cercetare din cadrul conferinței ICBCC 2022, completând viziunea teoretică cu implementări practice recente.

Spre deosebire de alte volume din serie, acest titlu pune un accent deosebit pe sinergia dintre mediul academic și cel industrial. Analizele incluse în secțiunea de servicii și aplicații demonstrează cum tehnologiile multidisciplinare pot fi integrate pentru a rezolva probleme de scalabilitate. Este o documentație tehnică robustă, publicată sub egida Springer, care servește drept punct de referință pentru generația următoare de practicieni IT.

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Specificații

ISBN-13: 9789819910533
ISBN-10: 9819910536
Pagini: 400
Ilustrații: X, 388 p. 203 illus., 158 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.68 kg
Ediția:2023
Editura: Springer
Colecția Lecture Notes in Electrical Engineering
Seria Lecture Notes in Electrical Engineering

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm acest volum inginerilor de date și arhitecților cloud care doresc să acceseze cercetări de ultimă oră din domeniu. Cititorul câștigă o perspectivă actualizată asupra securității și virtualizării, beneficiind de soluții tehnice validate la nivel internațional. Este un instrument esențial pentru cei care vor să înțeleagă direcțiile de dezvoltare ale tehnologiilor MapReduce și arhitecturilor de date complexe.

Despre autor

Volumul este coordonat de un colectiv de editori de renume internațional, printre care se numără Neelanarayanan Venkataraman, Lipo Wang, Xavier Fernando și Ahmed F. Zobaa. Aceștia reunesc expertize diverse din domeniul ingineriei electrice și al științei calculatoarelor. Coordonatorii au selectat lucrări de înaltă calitate prezentate la ICBCC 2022, asigurând un standard academic ridicat și o relevanță practică imediată pentru industria IT globală.

Cuprins

1. Architecture.- 2. MapReduce.- 3. Security and Privacy.- 4. Services and Applications.- 5. Virtualization.

Notă biografică

Neelanarayanan Venkataraman received his Master of Science in Computer Science from Madurai Kamaraj University, India, in 1995 and his Ph.D. from IT University of Copenhagen, Denmark, in 2012. Currently, he is Professor at VIT University, Chennai, India. Before joining VIT University, he worked as Scientist at the Centre for Advanced Computing (CDAC), India, and as Lecturer at Madurai Kamaraj University, India, and its affiliated institutions. His areas of research include distributed computing such as grid and cloud computing, context-aware computing, network management and security, XML-based security technologies, and e-communities. He has initiated several international research collaborations with universities in Europe, Australia, and South Korea as Research Group Coordinator and Chief Investigator at VIT University. He was instrumental in initiating joint research collaboration between VIT University and industries such as CDAC, SET, and DLink. He served as Head of the department in Cyber-Physical Systems between 2019 and 2023. As head of the department, he was responsible for the design and development of curriculum and syllabi for undergraduate and postgraduate specialization programs. He was instrumental in setting cyber-physical systems lab and an industry 4.0 lab at VIT University, Chennai.

Lipo Wang received a bachelor’s degree from the National University of Defense Technology (China) and a Ph.D. from Louisiana State University (USA). He is presently on the faculty of the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His research interest is artificial intelligence with applications to image/video processing, biomedical engineering, communications, control, and power systems. He has 350+ publications, a US patent in neural networks, and a patent in systems to his credit. He has co-authored 2 monographs and (co-)edited 15 books. He was Keynote Speaker for 36 international conferences. He is/was Associate Editor/Editorial Board Member of 30 international journals, including 4 IEEE Transactions, and Guest Editor for 15 journal special issues. He was a member of the Board of Governors of the International Neural Network Society, IEEE Computational Intelligence Society (CIS), and the IEEE Biometrics Council.

Xavier Fernando is a Professor at the Department of Electrical and Computer Engineering, Ryerson University, Toronto, Canada. He has (co-)authored over 200 research articles, and two books (one translated into Mandarin), and holds a few patents and non-disclosure agreements. He is the Director of Ryerson Communications Lab. He was an IEEE Communications Society Distinguished Lecturer and delivered close to over 50 invited talks and keynote presentations all over the world. His research interests are in signal processing for optical/wireless communication systems. He mainly focuses on physical and MAC layer issues. He has a special interest in underground communications systems of cognitive radio systems, visible light communications, and wireless positioning systems.

Ahmed F. Zobaa received his B.Sc. (Hons), M.Sc., and Ph.D. degrees in Electrical Power & Machines from Cairo University, Egypt, in 1992, 1997, and 2002, respectively. He received his Postgraduate Certificate in Academic Practice from the University of Exeter, the UK, in 2010. He received the Doctoral of Science from Brunel University London, the UK, in 2017. Currently, he is Reader in electrical and power engineering. His main areas of expertise include power quality, (marine) renewable energy, smart grids, energy efficiency, and lighting applications.

Textul de pe ultima copertă

The book presents papers from the 7th International Conference on Big Data and Cloud Computing Challenges (ICBCC 2022). The book includes high-quality, original research on various aspects of big data and cloud computing, offering perspectives from the industrial and research communities on addressing the current challenges in the field. This book discusses key issues and highlights recent advances in a single broad topic applicable to different sub-fields by exploring various multidisciplinary technologies. This book supports the transfer of vital knowledge to next-generation researchers, students, and practitioners in academia and industry.

Caracteristici

Includes peer-reviewed research papers presented at ICBCC 2022 Discusses new findings in big data and cloud computing Serves as a reference resource for researchers and practitioners in academia and industry