August 24, 2012
Back in July, cloud hosting providers went to Boston to attend the eighth annual HostingCon convention. Participants would learn about partnerships, handling compliance issues and a number of other important cloud topics. They also, according to ScienceLogic, reported their biggest fears.
ScienceLogic is a Virginia-based company that aims to assist cloud providers with monitoring and management services. They decided to survey HostingCon2012 attendees, asking questions about competition, stack usage and potential threats to the industry.
While 39 percent of respondents were primarily concerned with Google, Amazon and Facebook as potential disruptors, slightly more believed pricing wars were dangerous to the hosting market.
The survey authors believe this is due to a majority of providers not differentiating their services. Essentially, if the market is full of the same product, the cheapest price will most likely succeed. However, if the providers were to offer unique and beneficial services like mobile access to management tools, etc., success would be measured by user experience. The report went on to show that Amazon's built-in SaaS tools enabling advertising, sales and other features, are important aspects of the service.
After expressing their fears, the providers offered some insight regarding how the hosting market currently operates. When asked how they differentiate their service from the competition, 59 percent said through management and support. The second highest response was pricing at 34 percent. Similar to management and support, customer control and tools pulled in 32 percent, while 22 percent mentioned applications. The question allowed for multiple answers, which explains why the math appears slightly fuzzy at first glance.
From a bird's eye view, the ScienceLogic survey reflects a disparity between cloud service providers and potential adopters. While hosting companies are primarily concerned with pricing wars and industry goliaths, potential cloud users typically hesitate over other issues. These include data security, lock in, cost efficiency and SLA uptime.
Pricing may appear more attractive towards helping cloud user's operational budget. On the other hand, if client data is compromised, or an outage occurs when they try to access the service it will surely reduce confidence in the relationship.
It might behoove hosting providers to operate their datacenters with added focus in removing the barriers to cloud adoption. Proudly displaying a proven five nine (99.999%) SLA or offering migration assistance may be far more effective than better pricing.
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
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.