SCAW 2015 - Sensors to Cloud Architectures Workshop
Date2015-02-08
Deadline2014-12-15
VenueSan Francisco Bay Area, California, USA - United States
Keywords
Topics/Call fo Papers
Sensors to Cloud Architectures Workshop (SCAW-2015)
February 8th 2015, Bay Area, California, USA
Held in conjunction with HPCA-21
http://darksilicon.org/hpca/SCAW-2015/
Call for Papers (Click here)
Organizing Chairs:
Ramesh Illikkal Intel ramesh.g.illikkal-AT-intel.com
Ravi Iyer Intel ravishankar.iyer-AT-intel.com
Pei Zhang Carnegie Mellon University peizhang-AT-cmu.edu
Christina Delimitrou Stanford University cdel-AT-stanford.edu
Overview
The computer industry is witnessing a major inflection point ? Internet of Things ? that has implications from end (sensor devices) to end (cloud architectures). Many technologies contribute to this inflection point: Computing platforms are getting smaller (e.g., handheld devices, wearables), richer (e.g., image and language understanding) and broader (i.e., reaching the masses via Internet of Things). Sensors operating in constrained environments connected through intelligent gateways and cloud backend create a very complex environment for the operators, system integrators, and developers of this emerging technology. Discovering and managing sensor devices; collecting, cleaning and storing discoverable data; normalizing, aggregating and analyzing the data for insights and actions; managing the security and privacy of the data, enforcing the access privileges and trusted execution environments ? all these are required to make this revolution happen. The research challenges in IoT platforms are multi-fold: (a) providing rich functionality and wider power/performance range for sensor devices, (b) covering a broad range of applications that can be migrated from cloud to gateways and sensor devices, (c) enabling a scalable and modular cloud architecture that provides the required real-time and uptime capabilities and (d) providing a rich software programming environment that facilitates developing applications on end to end platforms consisting of elements ranging from sensors to gateways to cloud. The goal of this workshop is to bring together academic researchers and industry practitioners to discuss future IoT sensor-to-cloud architectures including sensors, gateways and cloud architectures.
Below is the proposed list of topics for the workshop. Topics include, but are not restricted to, the following:
? Sensors, Actuators, Gateway & Controllers Architectures
- Architectures for wearable and IoT devices
- Heterogeneity in cores, frequency, cache, memory
- Power, performance, energy optimizations
- SoCs, CPU/GPU, CPU/GPGPU architectures
- Ultra-Low power core micro-architectures
- Fabrics/Network-on-chip, cache/memory hierarchies
- HW support for heterogeneity, programmability, modularity
- Simulation/Emulation methodologies
- Protocols and abstraction layers (MQTT, CoAP, REST, …)
? Cloud Architecture
- Data Center architectures for IoT; customization and specialization
- Edge/Fog computing ? Dynamic cloud-gateway-device offloads
- Design patterns and application programming frameworks
- Service creation and orchestration
- IaaS, PaaS, SaaS and DaaS
- Deployment models - Cloud, Private, Hybrid
? Emerging Workloads and Use Cases
- New wearable and IoT use cases and workloads
- Speech/Image recognition and understanding, cognitive computing
- Personal assistants, predictive/prescriptive analytics
- Machine learning algorithms & applications, graph processing, deep neural networks
- Descriptive, predictive and prescriptive analytics
- Workload analysis for power/performance/energy optimization and acceleration
- Batch, streaming and distributed analytics
- Workload/Algorithm partitioning between heterogeneous cores and accelerators
- Performance monitoring and simulation
? Novel Accelerator Designs
- Specialized accelerator architectures and designs
- Machine learning, neural network and graph processing accelerators
- Domain-Specific programmable/configurable accelerators
- Accelerator interfaces for programmability
- Development environments for accelerator design
Submission Guidelines: Interested authors are encouraged to submit extended abstracts (1 - 2 pages) or short papers (6 pages) by email to the organizing chairs. The deadline for submission is December 15th, 2014. Final (short) papers will be due on Jan 23rd, 2015 and will be printed in a workshop proceedings made available to the workshop attendees.
Important Dates:
Abstract/Paper submission: December 15 2014 23:59 PST
Author Notification: January 02 2015
Final Paper Submission: January 23 2015
Workshop: February 08 2015
February 8th 2015, Bay Area, California, USA
Held in conjunction with HPCA-21
http://darksilicon.org/hpca/SCAW-2015/
Call for Papers (Click here)
Organizing Chairs:
Ramesh Illikkal Intel ramesh.g.illikkal-AT-intel.com
Ravi Iyer Intel ravishankar.iyer-AT-intel.com
Pei Zhang Carnegie Mellon University peizhang-AT-cmu.edu
Christina Delimitrou Stanford University cdel-AT-stanford.edu
Overview
The computer industry is witnessing a major inflection point ? Internet of Things ? that has implications from end (sensor devices) to end (cloud architectures). Many technologies contribute to this inflection point: Computing platforms are getting smaller (e.g., handheld devices, wearables), richer (e.g., image and language understanding) and broader (i.e., reaching the masses via Internet of Things). Sensors operating in constrained environments connected through intelligent gateways and cloud backend create a very complex environment for the operators, system integrators, and developers of this emerging technology. Discovering and managing sensor devices; collecting, cleaning and storing discoverable data; normalizing, aggregating and analyzing the data for insights and actions; managing the security and privacy of the data, enforcing the access privileges and trusted execution environments ? all these are required to make this revolution happen. The research challenges in IoT platforms are multi-fold: (a) providing rich functionality and wider power/performance range for sensor devices, (b) covering a broad range of applications that can be migrated from cloud to gateways and sensor devices, (c) enabling a scalable and modular cloud architecture that provides the required real-time and uptime capabilities and (d) providing a rich software programming environment that facilitates developing applications on end to end platforms consisting of elements ranging from sensors to gateways to cloud. The goal of this workshop is to bring together academic researchers and industry practitioners to discuss future IoT sensor-to-cloud architectures including sensors, gateways and cloud architectures.
Below is the proposed list of topics for the workshop. Topics include, but are not restricted to, the following:
? Sensors, Actuators, Gateway & Controllers Architectures
- Architectures for wearable and IoT devices
- Heterogeneity in cores, frequency, cache, memory
- Power, performance, energy optimizations
- SoCs, CPU/GPU, CPU/GPGPU architectures
- Ultra-Low power core micro-architectures
- Fabrics/Network-on-chip, cache/memory hierarchies
- HW support for heterogeneity, programmability, modularity
- Simulation/Emulation methodologies
- Protocols and abstraction layers (MQTT, CoAP, REST, …)
? Cloud Architecture
- Data Center architectures for IoT; customization and specialization
- Edge/Fog computing ? Dynamic cloud-gateway-device offloads
- Design patterns and application programming frameworks
- Service creation and orchestration
- IaaS, PaaS, SaaS and DaaS
- Deployment models - Cloud, Private, Hybrid
? Emerging Workloads and Use Cases
- New wearable and IoT use cases and workloads
- Speech/Image recognition and understanding, cognitive computing
- Personal assistants, predictive/prescriptive analytics
- Machine learning algorithms & applications, graph processing, deep neural networks
- Descriptive, predictive and prescriptive analytics
- Workload analysis for power/performance/energy optimization and acceleration
- Batch, streaming and distributed analytics
- Workload/Algorithm partitioning between heterogeneous cores and accelerators
- Performance monitoring and simulation
? Novel Accelerator Designs
- Specialized accelerator architectures and designs
- Machine learning, neural network and graph processing accelerators
- Domain-Specific programmable/configurable accelerators
- Accelerator interfaces for programmability
- Development environments for accelerator design
Submission Guidelines: Interested authors are encouraged to submit extended abstracts (1 - 2 pages) or short papers (6 pages) by email to the organizing chairs. The deadline for submission is December 15th, 2014. Final (short) papers will be due on Jan 23rd, 2015 and will be printed in a workshop proceedings made available to the workshop attendees.
Important Dates:
Abstract/Paper submission: December 15 2014 23:59 PST
Author Notification: January 02 2015
Final Paper Submission: January 23 2015
Workshop: February 08 2015
Other CFPs
- 2015 4th International Conference on Knowledge Discovery
- 2015 2nd International Conference on Optoelectronics and Image Processing
- Machine Learning Journal Special issue on Dynamic Networks & Knowledge Discovery
- International Conference on Information and Intelligent Systems
- International Conference on Mobile Technology and Innovative Systems
Last modified: 2014-12-09 16:42:16