January 17, 2013
LONDON, Jan. 17 – Ovum has published three “Trends to watch reports” on Cloud computing and reveals that 2013 will see cloud computing continue to grow rapidly.
2013 Trends to Watch: Private and Public Clouds report, drills downs into not only private and public cloud trends, but also infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) trends, meanwhile, 2013 Trends to Watch: Cloud Services report, looks at cloud computing from the point of view of IT service providers. Finally, 2013 Trends to Watch: Cloud Computing report, looks at the way cloud service providers and consumers adapt to cloud computing both on their own and as part of increasingly sophisticated cloud ecosystems.
In the “2013 Trends to Watch: Cloud Computing” report, Laurent Lachal, Senior Analyst, Ovum Software notes that “Cloud computing promises to tackles two hitherto irreconcilable IT challenges: the need to reduce costs and the need to boost innovation”.
Lachal says: “It takes a lot of effort from vendors and enterprises to actually make it work, and they will succeed in making it work in 2013, both on their own and as part of increasingly complex ecosystems.”
Indeed, cloud computing in all its guises (public, private, and hybrid) is building momentum, evolving fast and becoming increasingly “enterprise-grade”. Yet, it is early days for vendors and enterprises.
Lachal adds: “Cloud computing has barely reached the adolescence phase and it will take at least another five years for cloud computing to mature into adulthood.
2013 will also see the emergence of cloud computing ecosystem. Public clouds are increasingly approached not only as technology delivery platforms but also as “ecosystem hubs” for cloud service providers and consumers.
Lachal comments: “They offer a new way to accelerate participation in the rapidly evolving social networking and mobile solution ecosystems of the Internet age. Some industry sectors are benefiting from the “data centre as a hub”, an increasingly cloud computing-centric ecosystem of partners that assembles in a key location or data centre such as around financial exchanges, web and online services, or media content.”
Data will be the new cloud computing oil in 2013.
Cloud computing services, and the (social, mobile) applications that cloud platforms underpin, generate a lot of data, which in turn requires cloud services and applications to make sense of it.
This trend connects with and fuels other industry trends such as the Internet of things (machine-to-machine communication and data processing, cloud computing-based smart cities, TVs or cars projects), open government data, consumerisation of IT (with a variety of cross-device content centric public clouds, such as the one provided by Apple), and, last but not least, Big Data.
The market’s attention, under the Big Data banner, is currently mostly focused on technology issues, but from 2013 onward from a cloud computing perspective there will be growing interest in the cultural shift required by vendors and enterprises to turn data into a resource to manage and monetize, starting with data abstraction (from underlying IT systems), sharing (within and outside the enterprise), and valuation (via a model from companies such as Accenture).
“Some vendors played the cloud data card early , but the cloud data production, brokerage, and consumption ecosystem is still in the making and will continue to evolve over the next five years,” concludes Lachal.
Jointly awarded IIAR Global Analyst Firm of the Year 2012, Ovum provides clients with independent and objective analysis that enables them to make better business and technology decisions. Its research draws upon over 400,000 interviews each year with business and technology, telecoms and sourcing decision-makers, giving Ovum and its clients unparalleled insight, not only into business requirements but also the technology that organizations must support. Ovum is an Informa business.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.