According to IDC projections1, there will be 200 billion Internet-connected devices by 2020. And approximately all of them will be collecting data … and collecting it in quantities that are described in non-dictionary terms like umpteen zillions, mega bajillions, and a helluva lot.
Regardless how you quantify these mind-reeling numbers, one thing is clear: cloud computing cannot be the sole manager of all that information.
A new compute paradigm is emerging to address this—enabling scalable, high-performance compute at the edge with workload consolidation. Accelerated by massive growth in IoT and new technologies, this concept represents the tip of the iceberg in moving toward fully autonomous operations and software-defined systems.
Tech.Decoded sat down with Hubert Belser, Principal Engineer with 20+ years’ experience in Edge Computing and Workload Consolidation, to discuss this very topic, including:
- How latency, bandwidth, and storage costs come into play with edge computing
- How regulatory and security requirements are increasing the need for localized computing
- How this new paradigm changes the current one, and what developers’ biggest challenges are
- What Intel brings to the table for end-to-end compute, and what we’ll see in the future for edge computing
- Intel® System Studio Workload Consolidation Reference Implementation
- Workload Consolidation in Industrial IoT Solutions