Group Membership Management Framework for Decentralized Collaborative Systems
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Published:2022-11-08
Issue:4
Volume:23
Page:
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ISSN:2300-7036
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Container-title:Computer Science
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language:
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Short-container-title:csci
Author:
Opiola Lukasz,Jarosz Kamil,Dutka Łukasz,Słota Renata G.,Kitowski Jacek
Abstract
Scientific and commercial endeavors could benefit from cross-organizational, decentralized collaboration, which becomes the key to innovation. This work addresses one of its challenges, namely efficient access control to assets for distributed data processing among autonomous data centers. We propose a group membership management framework dedicated for realizing access control in decentralized environments. Its novelty lies in a synergy of two concepts: a decentralized knowledge base and an incremental indexing scheme, both assuming a P2P architecture, where each peer retains autonomy and has full control over the choice of peers it cooperates with. The extent of exchanged information is reduced to the minimum required for user collaboration and assumes limited trust between peers. The indexing scheme is optimized for read-intensive scenarios by offering fast queries -- look-ups in precomputed indices. The index precomputation increases the complexity of update operations, but their performance is arguably sufficient for large organizations, as shown by conducted tests. We believe that our framework is a major contribution towards decentralized, cross-organizational collaboration.
Publisher
AGHU University of Science and Technology Press
Subject
Artificial Intelligence,Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Computer Vision and Pattern Recognition,Modeling and Simulation,Computer Science (miscellaneous)
Cited by
1 articles.
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1. Achieving Decentralized Authority for Collaborative Data Sharing with Consensus;2023 IEEE 19th International Conference on e-Science (e-Science);2023-10-09