A5079860813- Cloud Computing and Resource Management
- Parallel Computing and Optimization Techniques
- Low-power high-performance VLSI design
- Distributed and Parallel Computing Systems
- IoT and Edge/Fog Computing
- Advanced Data Storage Technologies
- Stochastic Gradient Optimization Techniques
- Interconnection Networks and Systems
- Software-Defined Networks and 5G
- Advanced Memory and Neural Computing
- Caching and Content Delivery
- Ferroelectric and Negative Capacitance Devices
- Distributed systems and fault tolerance
- Blockchain Technology Applications and Security
- Advancements in Semiconductor Devices and Circuit Design
- Cloud Data Security Solutions
University of Thessaly
2016-2023
Centre for Research and Technology Hellas
2017
The explosive growth of Internet-connected devices will soon result in a flood generated data, which increase the demand for network bandwidth as well compute power to process data. Consequently, there is need more energy efficient servers empower traditional centralized Cloud data-centers emerging decentralized at Edges Cloud. In this paper, we present our approach, aims developing new class micro-servers - UniServer that exceed conservative and performance scaling boundaries by introducing...
Energy efficiency is a major concern for cloud computing, with CPUs accounting significant fraction of datacenter nodes power consumption. CPU manufacturers introduce voltage margins to guarantee correct operation. However, these are unnecessarily wide real-world execution scenarios, and translate increased In this paper, we investigate how such can be exploited by infrastructure operators, selectively undervolting nodes, at the controlled risk inducing failures activating service-level...
Energy reduction is a key objective in cloud computing, and DRAM memories are responsible for an important amount of the energy consumption data center nodes. Vendors adopt very conservative margins operating parameters, such as refresh rate supply voltage, to guarantee correct operation even under worst process variation conditions. In this paper, we investigate exploitation improve efficiency nodes, without triggering penalties due service level agreement (SLA) violations. We introduce...
Energy consumption is a primary concern for modern computer systems. Conservative approaches, such as DVFS, which have been used in the past to optimize performance / power tradeoff reached their limits. Heterogeneity promising approach: devices with different characteristics, each performance- and energy-efficient specific computational patterns are combined same system. Approximate computing another more disruptive solution: many applications can tolerate controlled quality loss exchange...