March 05, 2013
March 5 — Jelastic, Inc., today announced the launch of a major new version of its ultra-scalable and interoperable Java and PHP cloud hosting platform. The new version, Jelastic 1.9, features a flexible new pricing model, FTP support, caching in NGINX and the latest versions of software stacks (including TomEE and MariaDB 10.0.0).
Version 1.9 builds on the formidable strengths of the globally available and widely recognized Jelastic PaaS (Platform-as-a-Service) platform. The platform, initially launched in October 2011, has more than 40,000 users, and is being offered by hosting partners in the United States, UK, Brazil, Germany, Sweden, Finland, Russia and Japan. It has won the highest Java prize, the Duke's Choice Award from Oracle, due to its fundamentally new approach to cloud hosting of Java applications.
While other platforms impose limitations on developers by forcing them to code to specific APIs and adapt their applications to various constraints, Jelastic maximizes convenience for its users. Uploading and deploying an app on Jelastic takes only a few minutes, since the platform is standards-based and can run virtually any Java or PHP application without any code changes.
Moreover, Jelastic can automatically scale any application. As soon as an application´s load grows, the platform simply makes additional resources available to it. When the load goes down again, the platform reduces the resources.
"Today Jelastic is introducing a significant update with a revolutionary pricing model which was explicitly designed for production applications and for large scaling," said Jelastic CEO Ruslan Synytsky. "We have added major discounts for reserved resources, as well as discounts for volume usage. These discounts allow developers to host their production apps at a reasonable price. We have also added support of new software stacks such as TomEE 1.5 and MariaDB 10. These projects are extremely innovative, and Jelastic is the only PaaS to drive these kinds of innovations to the community. And we allow developers to test these great products in just a few clicks."
The newly launched Jelastic 1.9 offers the following useful new features and improvements for developers and hosting service providers:
For Java and PHP developers:
For hosting providers:
Jelastic, Inc., based in Palo Alto, Calif., offers a Java and PHP server hosting platform for developers and hosting service providers. Jelastic is the only Platform-as-a-Service (PaaS) offering designed specifically for hosting service providers to deploy and make available to their customers. Jelastic automatically scales Java and PHP applications and allocates server resources, thus delivering true next-generation Java and PHP cloud computing.
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.
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
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.