Group membership management framework for decentralized collaborative systems

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 dis-tributed 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 de-centralized 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 lim-ited trust between peers. The indexing scheme is optimized for read-intensive scenarios by offering fast queries - look-ups in precomputed indices. The in-dex precomputation increases the complexity of update operations, but their performance is arguably sufficient for large organizations, as shown by con-ducted tests. We believe that our framework is a major contribution towards decentralized, cross-organizational collaboration.