Resource Management in Distributed Systems de Anwesha Mukherjee

Resource Management in Distributed Systems: Studies in Big Data, cartea 151

Editat de Anwesha Mukherjee, Debashis De, Rajkumar Buyya

en Limba Engleză Hardback – iun 2024

Observăm că volumul Resource Management in Distributed Systems, editat de Anwesha Mukherjee, Debashis De și Rajkumar Buyya, se poziționează ca o referință tehnică esențială pentru infrastructurile de calcul de ultimă generație. Notăm cu interes integrarea unor paradigme emergente, precum dew computing și rețelele 5G, într-un cadru unitar de gestionare a resurselor. Într-o eră în care latența și eficiența energetică sunt critice, această lucrare detaliază implementări practice pentru orchestrarea containerelor și utilizarea tehnologiilor eBPF și XDP ca facilitatori pentru transferul de date ultra-rapid. Suntem de părere că structura volumului este riguros organizată pentru a ghida cititorul de la taxonomii teoretice la strategii optimizate de alocare. Cuprinsul relevă un accent deosebit pe algoritmi hibrizi, precum FSRmSTS (care integrează FCFS, SJF și Round Robin), oferind soluții concrete pentru planificarea sarcinilor în medii IoT și Fog. Dacă Adaptive Resource Management and Scheduling for Cloud Computing de Florin Pop v-a oferit cadrul teoretic și algoritmic fundamental, această apariție din 2024 oferă instrumentele practice și studiile de caz necesare pentru noile arhitecturi eterogene. Această lucrare continuă direcția de cercetare stabilită de Rajkumar Buyya în volume anterioare precum Green Mobile Cloud Computing sau Mobile Edge Computing. În timp ce lucrările precedente se concentrau pe eficiența energetică și latența în rețele mobile, volumul de față extinde analiza către securitatea resurselor și interoperabilitatea în sisteme complexe Cloud-Fog-Edge-Dew. Este un pas evolutiv necesar, tratând nu doar disponibilitatea resurselor, ci și reziliența acestora în fața atacurilor cibernetice prin strategii de separare a victimelor și monitorizare inteligentă bazată pe Swarm Intelligence.

Citește tot Restrânge

Din seria Studies in Big Data

Preț: 1127^.60 lei

Preț vechi: 1409^.50 lei
-20%

Puncte Express: 1691

Carte disponibilă

Livrare economică 07-21 mai

Adaugă în coș

Wish list
Gift list
Am citit!

Adaugă în listă

Specificații

ISBN-13: 9789819726431
ISBN-10: 9819726433
Pagini: 328
Ilustrații: XII, 314 p. 88 illus., 75 illus. in color.
Dimensiuni: 160 x 241 x 23 mm
Greutate: 0.72 kg
Ediția:2024
Editura: Springer
Colecția Studies in Big Data
Seria Studies in Big Data

Locul publicării:Singapore, Singapore

De ce să citești această carte

Recomandăm această carte inginerilor de sistem și cercetătorilor care doresc să implementeze soluții de orchestrare în medii de calcul distribuite. Veți câștiga o înțelegere profundă a algoritmilor de planificare hibrizi și a metodelor de securizare a resurselor în 5G și Edge Computing. Este un ghid practic pentru optimizarea latenței și a consumului de energie în infrastructuri IT complexe, oferind modele de simulare și strategii de alocare validate prin cercetări recente.

Despre autor

Rajkumar Buyya este un expert recunoscut la nivel mondial în sisteme distribuite, fiind director al Cloud Computing and Distributed Systems (CLOUDS) Lab la Universitatea din Melbourne. Anwesha Mukherjee și Debashis De completează echipa editorială cu o expertiză vastă în rețele mobile și IoT. Împreună, acești editori au coordonat numeroase proiecte de cercetare care au definit standardele actuale în cloud computing și edge computing, contribuind semnificativ la literatura tehnică prin volume publicate la edituri de prestigiu precum Springer.

Descriere scurtă

This book focuses on resource management in distributed computing systems. The book presents a collection of original, unpublished, and high-quality research works, which report the latest research advances on resource discovery, allocation, scheduling, etc., in cloud, fog, and edge computing. The topics covered in the book are resource management in cloud computing/edge computing/fog computing/dew computing, resource management in Internet of things, resource allocation, scheduling, monitoring, and orchestration in distributed computing systems, resource management in 5G network and beyond, latency-aware resource management, energy-efficient resource management, interoperability and portability, security and privacy in resource management, reliable resource management, trustworthiness in resource management, fault tolerance in resource management, and simulation related to resource management.

Cuprins

Resource Management in Distributed Computing.- Cloud Computing Resource Management.- Resource Allocation and Placement in Multi-access Edge Computing.- Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions.- Trusted task offloading and resource allocation strategy in MEC environment.- Resource Management in Edge Clouds: Latency-aware Approaches for Big Data Analysis.- FSRmSTS – An Optimized Task Scheduling with a Hybrid Approach: Integrating FCFS, SJF, and RR with Median Standard Time Slice.- Container Orchestration in Heterogeneous Edge Computing Environments.- Resource targeted cybersecurity attacks in cloud computing environments.- Load balancing using Swarm intelligence in cloud Environment.- Interoperability and Portability in Big Data Analysis based Cloud-Fog-Edge-Dew Computing.- Cyber attack victim separation: new dimensions to minimize attack effects by resource management.- eBPF and XDP Technologies as Enablers for Ultra-Fast and Programmable Next-Gen Network Infrastructures.- Deep Reinforcement Learning (DRL)-based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions.

Notă biografică

Anwesha Mukherjee received B.Tech. in Information Technology from Kalyani Govt. Engineering College in 2009. She received M.Tech. in Information Technology from the West Bengal University of Technology in 2011. She stood first class first in M. Tech., and received Inspire Fellowship from the Department of Science & Technology, Govt. of India to pursue her Ph.D. She received Ph.D. in Computer Science and Engineering from the West Bengal University of Technology in 2018. She worked as a Research Associate in the Department of Computer Science and Engineering, IIT Kharagpur. She is currently working as an Assistant Professor in the Department of Computer Science at Mahishadal Raj College, West Bengal, India. She has published more than 75 research papers in International journals, conference proceedings, book chapters, etc., and two edited books. Her research areas include Internet of Things (IoT), fog computing, mobile network, geospatial informatics, and cloud computing.
Debashis De is a Professor in the Department of Computer Science and Engineering at the Maulana Abul Kalam Azad University of Technology, West Bengal, India. He received M.Tech from the University of Calcutta, in 2002 and a Ph.D. from Jadavpur University in 2005. He is a Senior Member-IEEE, Fellow IETE, and Life member CSI. He was awarded the prestigious Boyscast Fellowship by the Department of Science and Technology, Government of India, to work at the Heriot-Watt University, Scotland, UK. He received the Endeavour Fellowship Award from 2008–2009 by DEST Australia to work at the University of Western Australia. He received the Young Scientist award in 2005 at New Delhi and in 2011 in Istanbul, Turkey, from the International Union of Radio Science, Belgium. In 2016 he received the JC Bose research award from IETE, New Delhi. In 2019 he received the Shiksha-Ratna Award from the Govt. of West Bengal. He established the Center of Mobile Cloud Computing (CMCC) for IoT applications. He published in 390 journals and 200 conference papers, Fifteen books, and filed 10 patents and 4 granted. He has projects sponsored by AICTE, UGC, WBDST, DST, WBDST, World Bank, AWS, and MeitY. His h index is 43, the citation is 8700. He supervised 20 Ph.D. students. His research interest is Mobile Cloud Computing, AI, IoT, and Quantum Computing.
Rajkumar Buyya is Redmond Barry Distinguished Professor and Director of the Cloud Computing and Distributed Systems (CLOUDS) Laboratory at the University of Melbourne, Australia. He is also serving as the founding CEO of Manjrasoft, a spin-off company of the University, commercializing its innovations in Cloud Computing. He served as Future Fellow of the Australian Research Council during 2012–2016. He has authored over 625 publications and seven textbooks including "Mastering Cloud Computing" published by McGraw Hill, China Machine Press, and Morgan Kaufmann for Indian, Chinese, and international markets, respectively. He also edited several books including "Cloud Computing: Principles and Paradigms" (Wiley Press, USA, Feb 2011). He is one of the highly cited authors in computer science and software engineering worldwide (h-index=166, g-index=360, 160,000+ citations).

Caracteristici

Presents comprehensive review of resource management Discusses limitations and solutions for a sustainable distributed system Serves as a reference resource for researchers and practitioners in academia and industry