Scipediacontent: Scipediacontent moved page Draft Content 941797262 to Shaikh et al 2018a

2021-02-01T22:31:00Z

Scipediacontent moved page Draft Content 941797262 to Shaikh et al 2018a

Scipediacontent: Created page with " == Abstract == Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Many Internet of Things (IoT) a..."

2021-02-01T22:30:56Z

Created page with " == Abstract == Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Many Internet of Things (IoT) a..."

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== Abstract ==

Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Many Internet of Things (IoT) applications today involve data capture from sensors that are close to the phenomenon being measured, with such data subsequently being transmitted to Cloud data centers for analysis and storage. Increasing availability of storage and processing devices closer to the data capture device, perhaps over a one-hop network connection or even directly connected to the IoT device itself, requires more efficient allocation of processing across such edge devices and data centers. We refer to these as "vertical workflows" – i.e. workflows which are enacted across resources that can vary in: (i) type and behaviour; (ii) processing and storage capacity; (iii) latency and security profiles. Understanding how a workflow pipeline can be enacted across these resource types is outlined, motivated through two scenarios. The overall objective considered is the completion of the workflow within some deadline constraint, but with flexibility on where data processing is carried out.

== Original document ==

The different versions of the original document can be found in:

* [http://orca.cf.ac.uk/114143/1/1Pfbdogv8mrGTjBBA0yqw3.pdf http://orca.cf.ac.uk/114143/1/1Pfbdogv8mrGTjBBA0yqw3.pdf]

* [http://orca.cf.ac.uk/114143 http://orca.cf.ac.uk/114143],
: [https://dblp.uni-trier.de/db/conf/ficloud/ficloud2018.html#RanaSAAB18 https://dblp.uni-trier.de/db/conf/ficloud/ficloud2018.html#RanaSAAB18],
: [http://orca-mwe.cf.ac.uk/114143 http://orca-mwe.cf.ac.uk/114143],
: [https://academic.microsoft.com/#/detail/2890976218 https://academic.microsoft.com/#/detail/2890976218]

* [http://xplorestaging.ieee.org/ielx7/8457543/8457977/08458035.pdf?arnumber=8458035 http://xplorestaging.ieee.org/ielx7/8457543/8457977/08458035.pdf?arnumber=8458035],
: [http://dx.doi.org/10.1109/ficloud.2018.00058 http://dx.doi.org/10.1109/ficloud.2018.00058]

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Shaikh et al 2018a - Revision history

Scipediacontent: Scipediacontent moved page Draft Content 941797262 to Shaikh et al 2018a

Scipediacontent: Created page with " == Abstract == Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Many Internet of Things (IoT) a..."