Amazon, MS, Google Clouds Flop In Stress Tests
Eponymous writes "A seven month study by academics at the University of New South Wales has found that the response times of cloud compute services of Amazon, Google and Microsoft can vary by a factor of twenty depending on the time of day services are accessed. One of the lead researchers behind the stress tests reports that Amazon's EC2, Google's AppLogic and Microsoft's Azure cloud services have limitations in terms of data processing windows, response times and a lack of monitoring and reporting tools."
Anna Liu, Associate Professor in services engineering at the UNSW School of Computer Science told iTnews she was excited by Cloud Computing as it could potentially enable organisations to "outsource a certain amount of their risks and costs and tap into new economies of scale."
Sounds more like she has a degree in buzzword engineering.
So, what exactly does "cloud computing" bring to the table for me?
Not much as far as I can see, other than a new crop of buzzwords.
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IMO the entire cloud thing is nothing more than a hype. Noone ever got asked if he wanted to have all apps running as webservices. Google, MS and others just race each other without really having a look whether the customers will buy. And i don't even want to think of the bad choice of standards they base their services on...
Google AppEngine has data reporting to a ridiculous level. This article doesn't even publish any REAL data.
I really HATE commercicles, small articles which make a claim, and then say, 'stay tuned!'.
Someone fire the author. The last paragraph reads:
"Liu will present the findings and offer developers advice on how to build robust applications to withstand the cloud's limitations at the Australian Architecture Forum in Sydney on Monday, August 24."
Wow, I at least they admit that this article has no REAL data in it, and THAT data will be released on Monday.
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Of course this is not surprising if you assume most of its users are in same timezone and do their work between 9-17. Clouds only work if the work of its clients is distributed over time, you can then aggregate dedicated resources for tasks. A cloud can not (never) properly deal with socalled peak load without making sufficient investments into hardware. Peak load occurs when everybody start using the system at the same time for intensive processing or data transactions. This is more likely to occur if your users are in the same timezone. So if your are looking for a 'good' cloud I suggest also looking at the user list. If the users are sufficiently distributed over different time zones it might scale better (this is of course not the only criteria for a good cloud). I myself prefer 'Thunder clouds' :)
I can't help thinking this is just thin-client + mainframe again, and just like every other time the model has come around, it's being pushed as the future.
The challenges for Wave don't rely on nearly the same challenges. Wave involves ONLY data transfer, not processing, storage, etc.. It's a protocol.
Making the comparison you've made is the same thing as saying HTTP is flawed becouse Joes Web Shack servers are slow.
Doesn't wave create thumbnails for images posted in a conversation?
Sounds like processing and storage to me...
Response times on the service also varied by a factor of twenty depending on the time of day the services were accessed, she said.
Ok, so give me a friggin' number! Did it go from 1 min to 20 minutes? Or from 1 sec to 20 sec. Or 1 hr to 20 hrs? When did you experience these response times? Give me a graph showing the response time as function of time of day and day of week.
I am learning to hate articles that give you a little bit of information and leave out the important data. If Ms. Liu hasn't released the data, then the article should not have been written. Or she should provide it on her web page. Or provide a link to some journal where it's being published. This whole thing stinks of spin and MS FUD.
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It just depends on the application. Webmail is an obvious success; why have every company re-creating this capability when everybody needs and wants the same thing? There is the issue of trust, but then, we do put our money in banks, so that is solvable.
I don't really see how this is similar to the cloud at all.
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You're confusing two definitions of "cloud".
One is the idea of putting everything into a webservice. The other is the idea of utility computing. They often overlap, but plenty of web services run their own datacenters, and there are plenty of applications of utility computing beyond web services.
Specifically, your "scalability issues" are relevant to the "utility computing" part, but not so much to the "web services" part -- unless you were bringing up issues completely irrelevant to this article.
This is my main annoyance with the use of the word "cloud" -- even people with some technical knowledge still get fooled into thinking one kind of "cloud" has anything at all to do with another type of cloud.
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