The rapid advancement in wireless and mobile technology has resulted in a large number of Internet users. Nowadays, people are busy accessing various applications most of the time. The users can access various cloud-based applications and services, on a pay-per-use basis. Nowadays, edge, fog, dew computing, and cloud computing have come into the picture to provide faster service to users. However, resource discovery, allocation, and scheduling become challenging, when the number of users is high and changes rapidly. Resource management includes resource discovery, allocation, resource classification, organization, resource scheduling, resource clustering, resource orchestration, resource monitoring, interoperability, portability, security, privacy, fault tolerance, energy efficiency in resource management, etc.

Cloud computing is one of the most significant areas of computing and information systems. Cloud computing permits users to execute exhaustive computations outside resource-constrained devices. Cloud computing provides infrastructure-as-a-service, platform-as-a-service, and software-as-a-service, on a pay-per-use basis. However, efficient resource management for cloud computing is one of the challenging issues.

The book aims to focus on resource management in cloud computing. The objective of the book is to present a collection of original, unpublished, and high-quality research papers, which report the latest research advances on resource discovery, allocation, scheduling, etc., in the cloud, fog, edge, and dew computing.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

The topics of interest include but are not limited to.

• Resource discovery in cloud computing/ edge computing/ fog computing/ dew computing

• Resource classification in cloud computing/ edge computing/ fog computing/ dew computing

• Resource organization cloud computing/ edge computing/ fog computing/ dew computing

• Resource clustering cloud computing/ edge computing/ fog computing/ dew computing

• Resource allocation cloud computing/ edge computing/ fog computing/ dew computing

• Resource scheduling cloud computing/ edge computing/ fog computing/ dew computing

• Interoperability and portability

• Security and privacy in resource management

• Latency-aware resource management

• Fault tolerance in resource management

• Energy-efficient resource management

• Resource monitoring in cloud computing/ edge computing/ fog computing/ dew computing

• Resource orchestration in cloud computing/ edge computing/ fog computing/ dew computing

• Simulation related to resource management

Submission link: https://easychair.org/conferences/?conf=naturecloud2022

Editors

• Dr. Anwesha Mukherjee, Assistant Professor, Department of Computer Science, Mahishadal Raj College (Vidyasagar University), Mahishadal, West Bengal, 721628, India.

• Prof. Debashis De, Professor, Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, BF-142, Sector-I, Salt Lake, Kolkata-700064, India.

• Prof. Rajkumar Buyya, Redmond Barry Distinguished Professor and Director, Cloud Computing and Distributed Systems (CLOUDS) Laboratory, University of Melbourne, Australia.

Important Dates

Abstract submission: 28th February 2023

Acceptance notification: 15th March 2023

Full chapter submission: 30th April 2023

Final acceptance notification: 30th June 2023

Submission of final (camera ready) chapters: 30th July 2023

Expected publication: October 2023

Contact

buyyacloud@gmail.com