Benjamin Mandler

Scalable communication middleware for permissioned distributed ledgers

Distributed Ledger Technology (DLT) is rapidly emerging as a new paradigm for automating complex business processes in secure and decentralised fashion. Currently, however, its wider adoption is hampered by scalability problems [3] rooted in an inherent tension between stringent consistency, security, and robustness requirements on one hand, and growing application demand coupled with high performance expectations on the other. For example, popular peer-to-peer DLTs based on proof-of-work consensus [4] can only improve the transaction throughput by degrading their security and consistency guarantees, which is unacceptable in the enterprise and mission-critical settings.

NIMBLE collaborative platform: Microservice architectural approach to federated IoT

This paper presents our architectural approach to building a collaborative Industry 4.0 platform that enables IoT-based real-time monitoring, optimization and negotiation in manufacturing supply chains. The platform is called NIMBLE and is currently being developed in a European research project. The presented approach utilizes microservice technology, and implements the core business functionality of the platform through a composition of decentralized, scalable services. The communication among services, and with platform users, manufacturers, suppliers, sensors and Web resources, is supported through simple protocols and lightweight mechanisms. Core business services of the implemented architecture are released as open source software, enabling multiple prospective platform-providers to establish B2B marketplaces for collaboration within their own industrial sector or region. To demonstrate microservices in practice, we present two scenarios, both related to manufacturing of wooden home buildings: one is IoT-based data sharing in a supply chain, and the other deals with product driven logistics planning. The further development of the platform will be driven by the requirements of at least four different use cases throughout Europe, and by incorporating advanced business models to support the growth of powerful network effects of the platform.

Design and implementation of a scalable membership service for supercomputer resiliency-aware runtime

As HPC systems and applications get bigger and more complex, we are approaching an era in which resiliency and run-time elasticity concerns become paramount. We offer a building block for an alternative resiliency approach in which computations will be able to make progress while components fail, in addition to enabling a dynamic set of nodes throughout a computation lifetime. The core of our solution is a hierarchical scalable membership service providing eventual consistency semantics. An attribute replication service is used for hierarchy organization, and is exposed to external applications. Our solution is based on P2P technologies and provides resiliency and elastic runtime support at ultra large scales. Resulting middleware is general purpose while exploiting HPC platform unique features and architecture. We have implemented and tested this system on BlueGene/P with Linux, and using worst-case analysis, evaluated the service scalability as effective for up to 1M nodes.

Poster: scalable infrastructure to support supercomputer resiliency-aware applications and load balancing

High performance computing systems display increasing complexity and component counts. This trend exposes weaknesses in the underlying clustering infrastructure needed for continuous availability, maximizing utilization, and efficient administration of such systems. To mitigate the problem, we present a highly scalable clustering infrastructure, based on peer-to-peer technologies, for supporting resiliency-aware applications as well as efficient monitoring and load balancing. Supported services include Membership, Publish-subscribe messaging, Convergecast, Attribute replication and a DHT. We present a preliminary evaluation taken from an IBM BlueGene/P, demonstrating scalability up to ~ 256K nodes.