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

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

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

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

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

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

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

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