CCL: Cloud backup in computational chemistry
- From: Abhik Seal <abhik1368.(~).gmail.com>
- Subject: CCL: Cloud backup in computational chemistry
- Date: Tue, 1 Mar 2022 17:06:24 -0600
One way Would be to reduce the file size such that you don’t need
high
amount of space and also reduces cost . Python blosc is a high performance
compressor . Blosc works well for compressing numerical arrays that
contains data with relatively low entropy, like sparse data, time series,
grids with regular-spaced values, etc.
Another one is feather format in Apache arrow . Hope you get some ideas .
Abhij
On Tue, Mar 1, 2022 at 3:47 PM Detlev Conrad Mielczarek detlevcm#,#
googlemail.com <owner-chemistry^ccl.net> wrote:
>
> Sent to CCL by: Detlev Conrad Mielczarek [detlevcm]![googlemail.com]
> Please note, RAID is NOT a backup.
>
> The topic is fairly complex if done rigorously. Look up "bit rot"
- data
> life is finite too.
> Look up the risk of data corruption on a RAID system - or loss with say
> malware or error.
>
> The topic is not simple - unfortunately.
> And then there is data lifetime on disks which is not necessarily a
> resolved question.
> Tape is considered the best for long term storage at current - maybe
> archive quality DVDs.
>
> Detlev
>
>
>
> Sent from my BlackBerry
>
>
>
> Original Message
>
>
> > From: owner-chemistry[*]ccl.net
> Sent: 1 March 2022 21:19
> To: detlevcm[*]googlemail.com
> Reply to: chemistry[*]ccl.net
> Subject: CCL: Cloud backup in computational chemistry
>
>
> Rather than cloud, may I suggest a 2 TB Raid system? They can be had for
> less than $200, and RAID 1 would provide adequate long-term stability.
>
>
> Dan Strahs
>
>
>
>
> > From: owner-chemistry+dstrahs==pace.edu##ccl.net
> <http://pace.edu#%23ccl.net>
<owner-chemistry+dstrahs==pace.edu##ccl.net
> <http://pace.edu#%23ccl.net>> on behalf of Rassolov,
Vitaly RASSOLOV~!~
> mailbox.sc.edu<owner-chemistry##ccl.net>
> Sent: Tuesday, March 1, 2022 9:35 AM
> To: Strahs, Dr. Daniel Bernard
> Subject: CCL: Cloud backup in computational chemistry
>
> Open Science Framework https://www.cos.io stores data at $4000/TB,
> guaranteed for 50 years. I don't have any personal experience with it, and
> it seems pricey for an individual. If your institution is affiliated with
> the OSF, perhaps the price is different.
>
> Center for Open Science
> At the Center for Open Science, our mission is to increase openness,
> integrity, and reproducibility of scholarly research. Promoting these
> practices within the research funding and publishing communities
> accelerates scientific progress
> www.cos.io
>
>
>
>
> Vitaly Rassolov
> Department of Chemistry and Biochemistry
> University of South Carolina
> 631 Sumter St, Columbia SC 29208
>
> https://sc.edu/study/colleges_schools/chemistry_and_biochemistry/our_people/directory/rassolov_vitaly.php
>
> > From: owner-chemistry+rassolov==mail.chem.sc.edu=ccl.net
> <owner-chemistry+rassolov==mail.chem.sc.edu=ccl.net> on behalf of
Andrew
> DeYoung andrewdaviddeyoung#%#gmail.com<owner-chemistry=ccl.net>
> Sent: Monday, February 28, 2022 4:48 PM
> To: Rassolov, Vitaly <RASSOLOV=mailbox.sc.edu>
> Subject: CCL: Cloud backup in computational chemistry
>
> Hi,
>
>
> I have ~1.5 TB of analysis data on my home computer related to my PhD
> work, which I completed last year. I would like to put this data in
> long-term storage in the cloud. I will retain a backup on an external hard
> drive, which I will keep at home. But I'm looking for an additional backup
> in another location (the other location being, ideally, the cloud). These
> files are not themselves MD trajectories from my PhD, but rather are output
> and analyses related to the trajectories. (The trajectories themselves are
> tens of TB and are being retained, for now, by my university.)
>
>
> Does anyone have experience with archiving scientific data on cloud
> storage services such as AWS S3, AWS S3 Glacier, Microsoft Azure, or
> iDrive?
>
>
> I realize this is the Computational Chemistry List, not the Information
> Technology List, but I'd be grateful for any insight you may have from the
> perspective of a computational chemist.
>
>
> I will be paying for this myself, so the service needs to be reasonably
> priced for a single user for ~5-10 TB or less. It's not immediately clear
> to me whether all of these services are really available to individuals.
>
>
> I don't need fancy features like automatic backup, delta copying, and so
> forth; I just need a place to safely store some files. I use Linux for
> running computation, but I'm not an IT expert by any means; I am willing to
> learn, though, especially when good documentation is available! And,
> clearly, transferring ~1.5 TB to the cloud is itself a nontrivial task, but
> I'm willing to see what the options are.
>
>
> Here are some links to some seemingly popular services in my country (US),
> but perhaps there are others more particularly suited for scientific data:
>
>
> AWS Amazon S3: https://aws.amazon.com/s3/
> AWS Amazon S3 Glacier: https://aws.amazon.com/s3/storage-classes/glacier/
> Microsoft Azure: https://azure.microsoft.com/en-us/services/#storage
>
> iDrive: https://www.idrive.com/
>
>
> Thank you for your time!
>
>
> Best,
> Andrew
>
> Andrew DeYoung, PhD
> Department of Chemistry
> Carnegie Mellon University
>
>
>
> -= This is automatically added to each message by the mailing script =->
>
> --
Cheers,
Abhik Seal Ph.D. (Cheminformatics)