Sensor to Cloud Architectures Workshop

Final Submission Deadline
January 8, 2016

Submitted by Govind Sreekar Shenoy

Sensor to Cloud Architectures Workshop (SCAW-2016)
in conjunction with HPCA 2016
Barcelona, Spain
March 13, 2016
Paper submission deadline: January 8, 2016 (23:59 PST)
Author notification: January 18, 2016
Final paper submission: February 19, 2016
Workshop: March 13, 2016

The computer industry is witnessing an inflection point – ‘Internet of things
combined with Cloud Analytics’ – which has implications from end (sensor
devices) to end (cloud architectures). Many technologies come together
contributing to this major inflection point: Computing platforms 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 creates a very complex environment for the
operators, system integrators, and developers of this new 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:
– providing rich functionality and wider power/performance range for sensor devices
– attempting to cover a broad range of applications that can be migrated
from cloud to gateways and sensor devices
– enabling a scalable and modular cloud architecture that provides the
required real-time and uptime capabilities
– providing a rich software programming environment that eases the challenge
of 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.

Topics of interest include, but are not restricted to, the following:

1) 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, …)

2) Cloud Architecture:
– Data Center Architectures for IoT
– Edge/Fog computing, Dynamic Cloud-gateway-device offloads
– Workload partitioning between heterogeneous cores and accelerators
– BigData Frameworks (Hadoop, Spark, Flink, …)
– Heterogeneous Datacenters (FPGA, GPU, Accelerators)
– Machine Learning Algorithms & Applications, Graph processing,
Deep Neural Networks
– Batch, streaming and distributed Analytics
– Design Patterns and Application Programming frameworks

3) Emerging Workloads and Use cases:
– Wearable and IOT use cases and workloads
– Speech/Image recognition and understanding, Cognitive computing
– Personal Assistants, Predictive/Prescriptive Analytics, Robotics
– Workload Analysis for power/performance/energy optimization and
– Performance Monitoring and Simulation, Architecture analysis

4) 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

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 January 8, 2016.

Ramesh Illikkal, Intel
Ravi Iyer, Intel
Murali Emani, University of Edinburgh
Govind Sreekar Shenoy, University of Edinburgh