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+file:: [AbdelBaky et al_2017_Computing in the Continuum.pdf](file://C:\Users\david\Zotero\/storage/33BF2A43/AbdelBaky et al_2017_Computing in the Continuum.pdf)
+file-path:: file://C:\Users\david\Zotero\/storage/33BF2A43/AbdelBaky et al_2017_Computing in the Continuum.pdf
+
+- traditional approaches that rely on moving data to remote data centers for processing are no longer feasible. 
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+  hl-color:: purple
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+- new approaches that effectively leverage distributed computational infrastructure and services are necessary. 
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+- realizing 
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+- uid ecosystem where distributed resources and services are programmatically aggregated ondemand to support emerging data-driven application workflows.
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+- federating infrastructure, programming applications and services, and composing dynamic workflows, which are capable of reacting in real-time to unpredictable data sizes, availabilities, locations, and rates.
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+- computing in the continuum, i.e., realizing a fluid ecosystem where distributed resources and services are programmatically aggregated on-demand to support emerging data-driven application workflows
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+- Data-driven Applications
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+- data-driven programming model for analyzing requests from streaming-based workflows at runtime and deciding how to process the data
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+- 1) discovering and composing heterogeneous computational services 
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+- (2) performing in-transit processing by utilizing resources at the edge, at the core, and along the data path, and exploiting network resource capabilities
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+- ynamically composes services, executes the workflow, and adapts the composition in real-time accordingly. 
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+- data streams are evaluated at runtime to decide how and where to process their data
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+- geographically distributed resources based on user objectives, service availability, and data locality
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+- Data-driven Programming Models:
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+- enhance user’s privacy and security and prevent exposing other users’ information
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+- we plan to explore the impact of in-transit staging, caching, approximation, and compression/decompression services on the workflow execution
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+- opportunistically modify already created workflows over time to improve the utilization of the infrastructure or take advantage of recently discovered services.
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+- In-transit Computing
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+- Workflow Management
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+- Programmable Distributed Infrastructure
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+- quantifying these compositions and modeling their performance and behavior at any given tim
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+- metrics 
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