October 10, 2008
As we saw in the first installment, there is no denying the connection between grid computing and cloud computing. The question going forward, however, is twofold: (1) How has the evolution from the former to the latter influenced the capabilities of dynamic datacenter solutions; and (2) How tightly are these companies willing to latch onto the cloud computing bandwagon?
The brief answer? The advent of cloud computing has drastically affected the product offerings and solutions by grid computing veterans. Everything is about flexibility, mobility, virtualization and, overall, being on-demand. As for the second prong, well, that’s not such an affirmative answer. After seeing how quickly a nebulous term can lose favor among the user community, vendors are (wisely, it would seem) betting on the delivery model but not necessarily the terminology.
Cloud, Utility, Whatever
Univa UD’s plan with its Reliance product is to help customers take advantage of their existing infrastructures by providing, among other things, application awareness, quality-of-service guarantees and automated SLAs. As noted earlier, its datacenter automation strategy no longer includes United Devices’ staple Grid MP middleware. Far from a rip-and-replace situation, the company is partnering with other vendors to ensure that previous datacenter investments are not wasted but, instead, optimized.
Univa UD is marketing Reliance as an appliance for both in-house use and for service providers looking to build their cloud or utility infrastructures. According to Alex Brown, general manager of Univa UD’s Data Center Business Division, the company has customers using it in both scenarios. A large telecom provider, he says, is using Reliance as a piece of its utility services model. The provider already has invested huge sums of money in its utility infrastructure, and Reliance will work alongside Opsware and SMART to provide maximum flexibility. On the internal side, Brown points to a customer looking to get rid of departmental resources by morphing its current infrastructure into a service-oriented one. Because it is relatively easy to make this switch in-house, Brown says products like Reliance could be called -- if you you’re down with the cloud lingo -- a “cloud in a box.”
Of course, not everybody is down with calling everything “cloud computing” -- including Brown. Although he certainly sees Reliance as a cloud-enabling appliance, he recognizes that preferred labels differ from customer to customer, and there is no need to alienate. “I’ve been trying to avoid, necessarily, labeling us with that term [cloud computing], because at the end of the day, what Reliance will enable some people are going to call cloud, [while] others are going to call it something else -- grid or utility or whatever.” However, (at the risk of “splitting hairs”) he adds that “cloud” tends to be more application-specific, whereas “utility” connotes a shared infrastructure.
Another reason for Univa UD to be careful about applying the cloud label is the fact that Reliance is not a cloud. Gordon Jackson, technical director for the company’s Data Center Business Division, notes that Reliance simply enables cloud services, it does not provide cloud services. For example, he says, Reliance could provide the intelligence for Amazon’s cloud infrastructure, but certainly would not be considered the cloud in that situation. People are started to get the nuance between these two roles, he says, but there still is some confusion, so there is no need to slap on the cloud label -- at least “until the 20-odd definitions of cloud out there result in one or two concrete, or more concrete, definitions.”
Additionally, both Jackson and Brown agree that most organizations -- including Univa UD’s customers -- will get comfortable with internal service delivery before they start accessing services externally, so there is no need to add to the confusion between whether an internal cloud really is a cloud. Whatever you call it, Brown says, the technology will become ubiquitous because the economics are just too compelling, and that -- not a buzzword -- is what Univa UD is banking on.
Let’s Just Call it all ‘Dynamic Application Service Management’
DataSynapse is a little more welcoming of the cloud computing buzz than are some of its competitors, but that doesn’t mean it expects the term to last forever. With that in mind, says Ivan Casanova, vice president of product marketing, the company has developed its own term to encompass the whole cloud/utility computing landscape: Dynamic Application Service Management (DASM).
Casanova says the company is thinking about cloud and utility computing from two perspectives: cloud computing for the corporate datacenter and infrastructure for external cloud providers (for which he says DataSynapse already has four or five customers). Cloud or utility, internal or external, DataSynapse is putting it all under the service-based DASM banner, which Casanova says is “all about providing automated provisioning of applications for the application development teams who are responsible for building the apps that run on these clouds, and providing infrastructure teams with automated and dynamic service level capabilities.”
The DASM vision isn’t just about hosting, serving and scaling applications, says Casanova, but rather about the entire application lifecycle. Thus, DASM encompasses the entire DataSynapse product portfolio, with GridServer handling scalability, FabricServer handling packacing, provisioning, etc., and VersaVision taking care of monitoring, management and the dashboard functionality. “As the mainstream IT press starts to evangelize cloud and utility models, which really is code for ‘shared and dynamic infrastructure,’ we already have products and technologies that have been proven in the marketplace to do that,” he says.
DataSynapse’s reputation for managing large-scale computing environments has some service providers coming to it, but Casanova says the company also is selling directly to them. According to Casanova, the sales pitch goes something like this: “We’re working with a number of your competitors, here’s the value that we provide, it’s intrinsic to what they’re doing, and we have very unique and compelling capabilities in this space. If you really, truly want to be a cloud provider to corporate IT shops in any way, shape or form, then you need this type of infrastructure.”
In terms of selling in-house, Casanova sees the cloud computing movement as a “big wave” that will help DataSynapse sell outside its financial services stronghold, but believes his company’s pedigree selling grids to demanding financial institutions is a major proof-point. On top of that, working with the service providers also serves as a touch-point for new customers, some of whom, like SMBs, DataSynapse never would target. “Being the ‘Intel Inside’ model of a cloud provider lets us touch a bunch of customers that maybe we don’t have the bandwidth or the focus to get to.”
As for the term “cloud computing,” Casanova doesn’t know how long its shelf life will be, but says that the movement from static to dynamic application development isn’t going anywhere. That sea change is akin to what’s happening in the shift from physical to virtual environments, he analogizes, and today the terms just happen to be cloud and utility.
The Application Matters
While the basic tools to build cloud or utility infrastructures exist within Platform Computing current portfolio, CEO Songnian Zhou more integration work still is needed to create full-fledged cloud infrastructures. Platform’s Enterprise Grid Orchestrator (EGO) abstracts applications from resources and orchestrates delivery based on policy, and its VM Orchestrator (VMO) orchestrates workloads that can be hosted in virtual environments. VMO sits next to Platform’s LSF and Symphony products in the architecture, and all three are underpinned by EGO. This solution set allows for separate application classes with dynamic underlying resources, Zhou says, but further work is needed to enable J2EE or locally developed applications. The same holds true for use cases, ranging from self-service VM provisioning to “full-fledged, dynamic, policy-based orchestration,” where the infrastructure shifts resources as needed without user intervention. The architecture is the same, he points out, but the tools vary.
Platform is in discussions with various partners and customers, Zhou says, and hopes to have some real cloud-like infrastructures in place within the next six months. Within the next two or three years, the company hopes to have a set of products available to address broad customer needs.
The reason for the time between now and more general-purpose utility solutions, he says, is because the community seems to be ignoring a “great chasm” between two distinct types of applications: (1) the Web 2.0 applications that companies like Amazon and Google are running and that are the basis for their infrastructures; and (2) the large majority of enterprise applications that predate these infrastructures and won’t run well in them. “That’s where, in my opinion, the approach and paradigm of cloud [computing] -- call it internal cloud, call it enterprise grid, call it whatever you want -- applies,” says Zhou. Over time, the internal and external paradigms will combine, with companies like Platform helping enterprises bring more applications into the cloud internally, and new applications will run in external clouds.
“If you want me to be completely honest, in the classical definition of cloud, we don’t do that,” Zhou explains. “We didn’t build that Web 2.0 infrastructure that Google and Amazon did. In the classical, true cloud, that’s what they do for those applications.” On the contrary, he says, Platform is an enterprise application vendor, “but, clearly, the methodology and thinking and vision and paradigm do apply.”
One Zhou isn’t too keen on talking about, though, is the terminology of what Platform is doing. The company has customer talking about building internal clouds, he says, but Platform remains very results-oriented -- due in part to fear of a grid hype replay. Right now, he added, CIOs are bending over backward trying to explain to their bosses why the external cloud computing they’ve heard so much about is not appropriate. Just as the term “grid computing” lost its luster, Zhou says he doesn’t want to go full force into cloud because “I know in a year or two it’s going to fade away.”
He also sees the same lesson shaping up in the transition from grid computing to cloud computing. Vendors need to be very pragmatic and make the solution about the customer’s applications, and customers need to look at all available paradigms and only make changes if they can ensure value. “The biggest risk we have is to hype it up and overpromise, then under-deliver and lose our credibility,” he says. “We all got hurt on that one.”
'I Second that Stance'
Oracle has announced plans with Intel to allow for shared infrastructures -- both internal and external -- running Oracle products, and even has made some available via Amazon EC2. Cloud plans for its Coherence data grid solution are less clear, but that doesn’t mean Vice President of Fusion Middleware Cameron Purdy doesn’t have thoughts on the current push toward cloud computing. And his concerns echo those espoused by Platform’s Zhou.
“Like a lot of big shifts in our industry, I think, quite often, what ends up happening is quite different than what people initially expect to happen,” he explains. “I think it’s pretty safe to say that the first wave that you see is typically companies repositioning legacy products as the new thing, and I think cloud computing is no different. Long term, I think what will emerge will be far different than what people are discussing today.”
He adds that at the end of the day, it’s way more about delivering tangible business benefits than about delivering a catchy name. “[W]e’re either going to create additional value for our customers, or there will be no such market emerging in the long run.”
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.