Jan 29 – 31, 2018
AGH Computer Science Building D-17
Europe/Zurich timezone

Sync and Share is Dead. Long Live Sync and Share.

Jan 30, 2018, 2:10 PM
AGH Computer Science Building D-17

AGH Computer Science Building D-17

AGH WIET, Department of Computer Science, Building D-17, Street Kawiory 21, Krakow


David Jericho (AARNet)


“Sync and Share is Dead. Long Live Sync and Share." discusses the increasing disinterest users have in simple file storage, Simple storage is a commodity service, with Google, DropBox, and other big players who can legitimately resolve concerns about data centre security, legal control, administration and audit, and standards compliance. The competitive advantage for any given data storage service is the application stack and API enablement on that data set, as well understand the the mobility of users.

Without the development of extended features, file storage becomes a race to the bottom in terms of both price and minimal difficulty of access.

AARNet has a program of development involving deploying the SWAN programmatic notebooks, enabling the Australian NeCTAR cloud compute infrastructure on the storage, video integrations for a national archive of cinema and television media, the raison d'être for S3 gateway services, the backup frameworks, high speed data transfer, and other enablers on CloudStor. We see this program as strategic to the service, as simple storage services will most probably not have a future in the Australian education and research community.

Further, there's a balance to be found between the extremes of the US Department of Energy's Energy Science's Science DMZ concept (which is part of AARNet's CloudStor design), and the increase in edge computing (also part of CloudStor’s design). The goal is to find the balance between bringing data to the user, and bringing getting data to the compute.

The goal of this presentation is to inspire conversation and collaboration around the progress forward with these platforms, and how the research and education communities can put value on top of data stores to avoid irrelevance.

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