1. Edge and Cloud Computing Breakout Session CSR PI Meeting, June 2, 2017
Krishna Kant
Temple University
11/7/2018

2. Key Questions What are the emerging research problems?
What are the maturing research problems?
What are the research problems that need larger collaborative teams to make progress
What will future computing system look like and how will they be used
11/7/2018

3. High Level Issues Architecture Distributed Computing Issues
HW features, virtualization/containerization, hierarchy, mobility support, …
Performance, energy, reliability, resource sharing/mgmt., …
Distributed Computing Issues
Consensus, fault tolerance, verification, scalability, location, locality, distribution of intelligence, …
Applications
Computing/storage, Smart critical infrastructure, disaster response, human augmentation, augmented reality, …
Business models and economics
Ownership/control, accessibility, who pays?, charging, liability
Managing Services
Service provisioning/composition, auto-configuration, config verification, testing, and diagnosis.
Cross cutting
Security, privacy, access control, big data and analytics
11/7/2018

4. Emerging Research Areas
Emerging areas
Incentivization (P2P model?)
Energy Usage
Host level security, privacy & trust
Issues with dynamism
Fault tolerance & reliability
Heterogeneity and Interoperability
No common app layers, resources, capabilities
Scalability
Cloud and edge management
Infra deployment, ownership, economics
Industry perspective
Edge + cloud – are they complementary
11/7/2018

5. Research Needing Collaborations
Applied
Large scale testbeds
Industry involvement
Fundamental research
Domain/app-specific designs (needs cross disciplinary research)
End to end systems
Usability
Challenges
Incentives for collaborative research
11/7/2018

6. Future Systems Application centric systems
Consideration of human-in-the-loop issues
Autonomy, robustness, human behavior
Policies and mechanisms
Competing objectives for owners/providers for cloud, edge, & device level services.
Data is currency, insight is the objective
Security & privacy
Integrated sensing and actuation.
11/7/2018

7. Cloud & Edge Computing – Summary
Emerging Research areas
Business models and incentivization
Infra deployment, ownership, economics, creating virtuous cycle of innovation/deployment
How do you deal with dynamism, heterogeneity and Interoperability
No common app layers, resources, capabilities
Scalable mgmt. and operation of Cloud and edge
Supporting real-time, safety-critical cyberphysical systems
11/7/2018

8. Cloud & Edge Computing – Summary
Collaborative research
Domain/app-specific designs (needs cross disciplinary research)
Building end to end systems – cloud, edge, fog, device
Usability – configuration, policies, adaptation, …
Future Systems
Must be application centric & consider human-in-the-loop issues
Autonomy, robustness, human behavior
Policies and mechanisms
Competing objectives for owners/providers for cloud, edge, & device level services.
Must be inherently data driven
Adaptive behavior based on insights from the data
Security & privacy must be built in from ground up
11/7/2018