The Distributed Systems Research Laboratory, part of the Technical University of Cluj-Napoca, has extensive experience in many fields of the distributed systems related research areas: ENERGY EFFICIENCY IN LARGE SCALE DISTRIBUTED SYSTEMS Data center energy usage assessment using our Greenness Level Assessment tool and various Green Performance Indicators and metrics (PUE, DH-UR, etc.) Nonlinear programming optimization for increasing energy efficiency of IT systems. Workload consolidation for energy consumption reduction using our Green Cloud Scheduling Technology for open clouds. Delay tolerant workload scheduling for minimizing energy costs. Optimization of IT resources energy consumption through Dynamic Power Management BIG DATA ANALYTICS Technological support for creating and storing, and managing the use of big data streams. Integration of new big data technologies into existing data platform and improve data life-cycle management functions. - Service delivery of customized insights and information through advanced analytics out of big data sets to drive business growth. Building and deploying big data applications and advanced analytics to improve business results. Data disambiguation, noise elimination and predictive analytics based on time series analysis and clustering techniques. Implementation of decision making support tools tailored to various organizational and system goals based on reinforcement learning, deep learning, decision trees, neural networks, and genetic algorithms. IOT AND BLOCKCHAIN TECHNOLOGY Distributed shared ledger implementation, smart contracts, Ethereum technology, distributed peer to peer control, distribute consensus (proof of work and prof of stake). Applicability in domains such as management of smart grids and demand-response programs, ecosystem management and payment of ecosystem services trading, circular economy and smart manufacturing. AMBIENT ASSISTED LIVING (AAL) Study and develop techniques and methods to enhance the