5th International Green Computing Conference

Special sessions: In addition to the regular track, contributions are sought for the following planned special sessions:

1.  SS1: Enabling Big Data in Smart Grids through Better Communications Network Design (BigDataSGNet) (Organizer: Vinod Namboodiri, Wichita State University)

This special session will address various design aspects of communication networks to facilitate the Big Data paradigm in smart grids. Electric utilities are increasingly interested in creating value from the Big Data paradigm by collecting large amounts of data on the state of the power grid and electricity consumption patterns of end-user loads. A big challenge for smart grid application scenarios, and the information sharing framework that enables them, will be handling the massive amount of data that is expected to be collected from various sources and sent through communications networks to grid operators. For example, by current standards, each smart meter sends reports every 15-60 minutes to a grid operator. When the numbers of such distributed monitoring entities are scaled up to many thousands, the resulting data volume will stress network capacities, especially in limited-bandwidth last-mile networks that are common in metering scenarios at the power distribution level. A similar challenge exists for synchrophasor data collected for monitoring the state of the grid. Future applications are expected to require data to be collected at a finer granularity, thus adding to the challenge. This session will encompass a broad range of topics related to enabling large-scale data collection, sharing, management, and storage in smart grids as it relates to communication network design. Its objective is to facilitate exchange of valuable information and ideas among academic researchers, industry practitioners, and other entities interested in data-intensive aspects of smart grids and associated communications network challenges.

2.   SS2: Energy Efficient Big Data Computing (Organizer: Lu Peng, Louisiana State University)

As part of the IEEE International Green Computing conference, a special session on energy efficient big data computing will be organized. Topics are included but not limited to:

                                                i.           Power-efficient architecture design for Big Data computing;

                                              ii.            Power management for Big Data computing;

                                              iii.            Energy-efficient scheduling for Big Data computing;

                                              iv.            Energy-efficient storage design for Big Data.

                                               v.            Power-aware algorithms for Big Data.

                                              vi.            Metrics and modeling to evaluate energy efficiency for Big Data.

 3.   SS3: Data Centers in the Smart Grid (Organizer: Ayse Coskun, Boston University)

As part of the IEEE International Green Computing conference, a special session on Data Centers in the Smart Grid will be organized. Matching the electricity supply and demand in the power grid in real-time is becoming more difficult with the increasing focus on adopting green yet intermittent renewable energy sources. Smart grid brings new power market mechanisms and provider-side programs, through which the independent service operators (ISOs) can offer incentives to participants for reducing their load at peak times or for following dynamic power regulation requests. Such programs help both the ISOs in managing the grid and the participant in reducing the electricity costs. Data centers, which now consume over 3% of the US electricity cumulatively, offer unique opportunities for participation in the emerging power market programs. This is because data centers face severe sustainability challenges themselves and are willing to develop mechanisms for reducing electricity cost, and also, they contain the necessary flexibility for power regulation through many available control knobs in the center. This special session discusses how to design the requisite science and technology base for enabling data centers participate in emerging provider-side programs and power markets, and also provides the latest research results on potential energy cost savings of data center integration in the smart grid.

4.  SS4: Lifetime reliability - from device to circuit to system level (Organizer: Cristinel Ababei, Marquette University)

As part of the IEEE International Green Computing conference, a special session on “Lifetime reliability - from device to circuit to system level” will be organized. Continuous downscaling of CMOS technologies lead to increasingly adverse aging mechanisms that cause performance degradation and eventual device and system failure. Increased power densities in modern chip multiprocessors result into increased temperatures that exacerbate these failure mechanisms. These issue affect lifetime reliability across multiple levels of abstractions and domain areas. Poor device reliability can lead to problems at circuit and system levels. Unreliable computing systems affect the dependability of large scale systems such as data centers and even of the electric grid, which relies increasingly on computing systems and real-time communication networks. Using lifetime reliability as the underlying design concern, this special session seeks papers that cover this entire spectrum, with an emphasis on how lower-level techniques and results could be exploited/utilized at upper-levels and how they tie into the idea of green/sustainable computing.

5.    SS5: Energy-Efficient Communication (Organizer: Aaron Carpenter, Binghamton University)

Whether it is in chip multiprocessors or large-scale servers, communication is increasingly becoming critical to the energy consumption and performance of the entire system.  To ensure the power/energy requirements do not become overwhelming, it is imperative that designers reduce the overheads of all communication by creating efficient interconnects, both on- and off-chip. At the same time, slower communication leads directly to wasted energy as cores wait for incoming data, increasing both dynamic and leakage power.  These types of trade-offs in the interconnect substrates are essential to the future of energy-efficient computing.  In this special session, we will discuss energy efficient communication designs ranging from on-chip networks to large scale, inter-machine interconnects.

6.  SS6: Power-Efficient Embedded Memory and Emerging Memory Technologies (Organizer: Na Gong, North Dakota State University)

As embedded memory take over more and more die area, power consumption continues to be a challenge for SRAM designers. This issue is expected to aggravate with continuous technology scaling, especially in battery-powered computing devices, such as laptop computers, smart phones, and medical sensors. Therefore, energy-efficiency embedded memory design are paramount for the next generation of computing systems. At the same time, while conventional CMOS technology is approaching its physical limit, it is desirable to explore emerging memory technologies. Accordingly, new device/circuit/architecture techniques are required to achieve future on-chip, high-density, high-speed, low-power memory. In this special session we invite contributions for the power-efficient, reliable and sustainable memory for various application devices from large-scale computing machinery to hand-held devices. Contributions may encompass various levels of design such as architecture, circuit as well as device.

7.   SS7: Green Building Energy Analytics (Organizer: Nirmalya Roy, University of Maryland, Baltimore County)

IGCC 2014 "Green Building Energy Analytics" track aims to showcase the latest developments and technical solutions in areas related to green building technologies and platforms, green computing and communications, energy efficient low power hardware and software design, low power communication protocols, and test-beds, and other important advances. Papers are invited in the following areas, but not limited to:

- Green building technologies

- Building Experimental test-beds and results

- Building occupancy based energy management

- Wireless sensor networks and sensing applications for green building

- Data analytics and optimization in computing, communications, and smart grids

- Energy efficient hardware, software, devices and design

- Novel Demand Response for seamless integration of building green technologies with evolving smart grid

- Energy education in green buildings