ENDECON EN ergy efficient DE sign of CO mmunications N etworks

1. ENDECONENergy efficient DEsign of COmmunications Networks Kick-off meeting 3 October 2012 Patras

2. Research Team B • Communication Networks Laboratory (CNL), Computer Engineering & Informatics Department (CEID), University of Patras, Greece, Emmanouel (Manos) Varvarigos. • Network Architectures and Management Group, Departments of Electrical & Computer Engineering, University of Patras, Greece, Spyros Denazis. • Technology & Computer Architecture Laboratory, Computer Engineering & Informatics Department (CEID), University of Patras, Greece, Themistoklis Haniotakis. Kick-off meeting, 3 October 2012

3. Main Team Objectives • Cross-layer techniques that minimize the energy-consumption of network devices. WP2 – Task 2.3 • Routing algorithms based on the internal network energy consumption. WP3 – Task 3.1 • Energy-aware Routing and Wavelength Assignment in WDM networks. WP3 – Task 3.2 • Algorithms to determine the optimal number/ placement of electronic equipment in optical networks. WP3 – Task 3.2 • Optimization of peer-to-peer systems with respect to energy. WP3 –Task 3.3 • Energy-efficient VLSI designs of network devices. WP3 – Task 3.4 • Energy-efficient design of data-centers and servers. WP5 – Task 5.2 Kick-off meeting, 3 October 2012

4. WP2 – Plan and Key Activities • Cross-layer design of wireless communication networks with energy-optimum consumption. • Participants: RT-A, RT-B, RT-C, RT-D • Work Package Leader: RT-A • Task 2.3: Cross-layer routing techniques for different degrees of channel state information. • Duration: M13 – M36 • The main focus will be on efficiently controlling the available energy on a communication network. • The energy network will efficiently distribute the energy among regenerative and non regenerative nodes. • The communication network will distribute the traffic based on the information of the power network. • Team’s Objective: • we will try to exploit physical layer cooperative transmission techniques to reduce transmission energy at each cooperative node and minimize transmission path length. • In addition, we will try to optimally solve the multicast schedule that minimizes the expected number of transmissions while accounting for the wireless broadcast advantage. Kick-off meeting, 3 October 2012

5. WP3 – Plan and Key Activities • Network planning and operation techniques for optimal energy consumption • Participants: RT-A, RT-B, RT-D • Work Package Leader: RT-B • Duration: M1 – M36 • Feeds: • WP2: Cross-layer design of wireless communication networks with energy-optimum consumption • Tasks: • Task 3.1: Routing algorithms with smart energy management. • Task 3.2: Energy-aware RWA algorithms. • Task 3.3: Optimized peer-to-peer systems according to the quantity and the type of the available energy. • Task 3.4: Low power hardware implementations. Kick-off meeting, 3 October 2012

6. Task 3.1 – Key Activities • Routing algorithms with smart energy management. • Duration: M1 – M36 • The main focus will be the study of novel energy-aware routing algorithms for a given network topology. • The main aspects to be considered, so as the energy problem in wired data networks to be solved, are three: • the type of the energy consumed • the distance the signal has traveled • the energy consumed by the network devices • Some of the new algorithms will attempt to concentrate all the traffic in parts of the network that are close to energy plants to avoid energy transfer to large distances. • In addition, algorithms will be studied whose routing decisions are affected by the type of energy sources (fossil or renewable) used by the devices, in order to take into consideration the reduction of carbon footprint which is the prime objective from an environmental perspective • Team’s Objective: • we will develop algorithms that implement optimal routing methods with cost function based on energy consumption. Kick-off meeting, 3 October 2012

7. Task 3.2 - Key Activities • Energy-aware RWA algorithms. • Duration: M1 – M24 • The main focus will be to study energy-aware RWA algorithms in optical networks. • We will examine the RWA problem so as to exploit the already active fibers and save energy from not used ones, subject to the constraint that all traffic demands are served. • Since energy efficiency and network performance are contradictory objectives, we will also examine the optimal number/placement of electronic equipment (regenerators, transponders, WSS, etc) in single fiber and multi-fiber networks. • Team’s Objective: • We will investigate an algorithm for solving the Energy-Aware Routing and Wavelength Assignment (EA-RWA) problem based on an Integer Linear Programming (ILP) formulation that incorporates energy consumption and physical impairments (through a maximum transmission reach parameters) into RWA. In addition we will try to decompose the problem and use a LP relaxation to address the problem in large scale networks. Kick-off meeting, 3 October 2012

8. Task 3.3 – Key Activities • Optimized peer-to-peer systems according to the quantity and the type of the available energy. • Duration: M7 – M30 • The main focus will be on deploying energy-aware P2P networks. • We will study P2P networks energy reduction considering: • P2P networks’ architecture • P2P networks’ graph distributed creation and update • Distributed routing algorithms. Kick-off meeting, 3 October 2012

9. Task 3.4 – Key Activities • Low power hardware implementations. • Duration: M1 – M36 • The main focus will be on developing efficient hardware that consumes less energy to operate when needed. • We will propose device control mechanisms that • Switch off the devices or parts • Manipulate energy consumption in relation to transmission rates • In addition, we will manage the operation speed proportional to the operational temperature. Kick-off meeting, 3 October 2012

10. WP5 - Plan and Key Activities • Energy optimization techniques for green cognitive infrastructures. • Participants: RT-A, RT-B, RT-D • Work Package Leader: RT-D • Task 5.3: Design of energy-efficient datacenters, servers and base stations. • Duration: M13 – M36 • The main focus will be on investigating the fundamental aspects to achieve energy efficiency in datacenters, servers and base stations. • Measuring techniques based on real time power consumption monitoring • Modeling techniques for energy efficiency as a function of the input load and outdoor conditions • New virtualization strategies, routing, load balancing and cooperation algorithms based on sensor network measurements to keep the energy efficiency of the system at high levels. • Team’s Objective: • We will study algorithms for analyzing energy characteristics of virtual machines and energy aware data consolidation algorithms. • We will investigate the deployment of low-energy and small-size optical interconnects across the different hierarchy levels in Data Center and High-Performance Computing Systems achieve high-performance and reduce power requirements. Kick-off meeting, 3 October 2012

11. Deliverables and Milestones • D.2.3 M36 On the interaction between power grid and communication network. • D.3.1 M36 Routing algorithms with smart energy management. • D.3.2 M24 Energy-aware RWA algorithms. • D.3.3 M30 Optimized peer-to-peer systems according to the quantity and the type of the available energy. • D.3.4 M36 Low power hardware implementations • D.5.3 M36 Energy efficient designs for datacenters and servers Kick-off meeting, 3 October 2012

12. Questions and Q & A • Thank you! Kick-off meeting, 3 October 2012