December 11, 2006
GigaSpaces announced the availability
of GigaSpaces Version 5.2. GigaSpaces 5.2 is an implementation of
Space-based Architecture, a new model enabling end-to-end scalability
for low-latency, high-throughput applications, designed to remove
performance barriers inherent in traditional middleware technologies.
"With GigaSpaces 5.2, we are delivering infrastructure software that allows unlimited scalability while making application development and maintenance simpler and faster than ever," said Nati Shalom, CTO, GigaSpaces. "Because GigaSpaces eliminates the 'tyranny of tiers' that traditional middleware imposes on applications, developers can write highly-distributed, scalable, applications without impacting performance or throughput. GigaSpaces is unique in transferring the burden of application performance and scalability from developers to the Grid infrastructure."
Enhancements to GigaSpaces Version 5.2:
- Write distributed applications as if interacting with a single server, while GigaSpaces handles the dynamic distribution, coordination and synchronization of the messaging, processing and data across the entire network; and,
- Deploy applications and services through a single deployment operation, achieving an SLA-driven solution for the entire application stack. This includes continuous availability, on-demand scalability and self-healing.
- POJO Oriented Services. Developers can develop distributed services and deploy them throughout the network writing simple POJOs.
- Running the business logic where the data is. Providing common infrastructure for real-time analytics and low latency transactional applications.
- POJO driven In-Memory Data Grid. GigaSpaces 5.2's end-to-end POJO support enables developers to continue writing their POJOs and, via a declarative approach, map the existing data model to an optimized data structure. This allows for efficient and granular query support and data distribution, in a similar fashion to models like Hibernate and JPA. In addition, using a built-in Hibernate support, developers can continue to leverage their existing mapping to relational databases, while gaining the performance benefit of In-Memory Data Grids
GigaSpaces Version 5.2 will be available by year end. At this time, fully functional 30-day trials of the Enterprise Edition will be available at the company's web site, http://www.gigaspaces.com. The Caching Edition will also be available for trial. Developers interested in this technology or who are using the Spring framework and wish to see the integration with GigaSpaces may download GigaSpaces Community Edition 5.2. Community Edition enables users to discover GigaSpaces' capabilities on a single node.
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.