February 25, 2013
Feb. 25 – The report “Platform as a Service (PaaS) Market - Global Advancements, Business Models, Technology Road maps, Forecasts & Analysis (2013 – 2018)” defines and segments the global PaaS market with analysis and forecasting of the global revenues. It also identifies drivers and restraints for this market with insights on trends, opportunities, and challenges.
MarketsandMarkets has segmented the global PaaS market by types of solutions, Implementation models, Applications, End Users, and Industry. The solutions segment is comprised of business application platforms, raw computing platforms, social application platforms and web application platforms. Based on the Implementation models, the PaaS market is segmented into three categories: public cloud, private cloud and hybrid cloud. Application Development and Maintenance PaaS (ADM PaaS), Business Process Management PaaS, Application PaaS, Integration PaaS and Other PaaS are the segments categorized based on Applications. Based on the End Users, the PaaS market is segmented as Enterprise PaaS and Small and Medium size Business PaaS. Also the PaaS market is categorized based on the industry segments such as Banking & Financial Sector, Consumer Goods & Retail, Education, Gaming, Healthcare, Logistics & Transportation, Public Sector & Government, Telecommunications & IT, Travel & Hospitality and Others.
Each of these sub-segments is further bifurcated by geographies. The geographies covered are North America (NA), Europe, Asia-Pacific including Japan (Asia Pacific), the Middle East & Africa, and Latin America (LA).
The major forces driving the PaaS market are the key factors in application development process such as agility, scalability, limited need for expertise, easy deployment, and reduced cost and development time.
PaaS has been the smallest market among the cloud computing segments. But now the trend is experiencing a drift where the PaaS market is growing faster in terms of revenue. Although thPaaS market is not as huge as IaaS and SaaS, which are the other two segments in cloud computing, the proportion of this market is very significant. This trend has been adopted by most of the traditional cloud computing and IT solution providers in the market like Amazon, Google, IBM etc. Also many small players specializing in providing PaaS solutions have emerged and made the market so dynamic and competitive. This trend has benefited most of the application users and has increased the demand for PaaS on various sectors.
The global PaaS market is estimated to grow from $1.28 billion in 2013 to $6.94 billion in 2018 at a compound annual growth rate (CAGR) of 32.54% in this period. In terms of geographies, North America continues to be the biggest market for PaaS solutions.
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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 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.