Network management

About: Network management is a research topic. Over the lifetime, 17859 publications have been published within this topic receiving 234520 citations. The topic is also known as: computer network management & NM.

Blockchain and Machine Learning for Communications and Networking Systems

Abstract: Recently, with the rapid development of information and communication technologies, the infrastructures, resources, end devices, and applications in communications and networking systems are becoming much more complex and heterogeneous. In addition, the large volume of data and massive end devices may bring serious security, privacy, services provisioning, and network management challenges. In order to achieve decentralized, secure, intelligent, and efficient network operation and management, the joint consideration of blockchain and machine learning (ML) may bring significant benefits and have attracted great interests from both academia and industry. On one hand, blockchain can significantly facilitate training data and ML model sharing, decentralized intelligence, security, privacy, and trusted decision-making of ML. On the other hand, ML will have significant impacts on the development of blockchain in communications and networking systems, including energy and resource efficiency, scalability, security, privacy, and intelligent smart contracts. However, some essential open issues and challenges that remain to be addressed before the widespread deployment of the integration of blockchain and ML, including resource management, data processing, scalable operation, and security issues. In this paper, we present a survey on the existing works for blockchain and ML technologies. We identify several important aspects of integrating blockchain and ML, including overview, benefits, and applications. Then we discuss some open issues, challenges, and broader perspectives that need to be addressed to jointly consider blockchain and ML for communications and networking systems.

Inside the Matrix: Integrating the Paradigms of Intergovernmental and Network Management

Abstract: The basic research concepts of intergovernmental and network management are examined with regard to blending the two into a unified theory of collaborative management. A substantial literature in both fields has emerged and is ripe for conceptually enhancing interorganizational management in the public sector. The collaborative management concepts forwarded emanate from the authors' comprehensive study of collaborative public management in 237 cities. The major concerns that are found to be ready for knowledge unification include: (1) multiple network complexity and the emergence of governance through policy networks, (2) strategic behavior and its implementation through networks, (3) the role of government institutions in network governance, and (4) the use of myriad policy instruments and multiorganizational activity. Each of these research arenas are representative of the kind of knowledge base that can be blended and extended to help public managers understand how to operate in the vertical/h...