November 07, 2012
AUSTIN, Texas, Nov. 7 – Caringo, the leading provider of object storage software, today announced seamless integration of its core technology, CAStor, as an enterprise ready object store for Apache CloudStack 4.0, a project currently undergoing incubation with the Apache Software Foundation. The integration brings CAStor's unique ability to provide secure, multi-tenant storage that easily scales from terabytes to petabytes with robust customizable level of 9s data durability without backups or RAID. The integration has been submitted to the Apache Software Foundation as part of the Apache CloudStack 4.0 release and is available for immediate download.
Citrix CloudPlatform, powered by Apache CloudStack, provides the most robust open source software platform for highly scalable and reliable cloud computing environments and is currently deployed in some of the world's largest enterprises. The addition of Caringo object storage powered by CAStor enables these organizations to benefit from:
Unrivaled data durability without backups and RAID through Elastic Content protection that enables the ability to set the level of 9s per object and optimize for access or footprint.
More than 'simple' storage, providing customizable metadata, WORM and auditable per-file authenticity enabling granular control and compliance use cases.
Rapid performance regardless of file size, number of files or capacity, enabled by CAStor's highly efficient symmetric architecture that is market proven and field hardened over the last six years and in use by over 500 customers.
Content portability, through CAStor's universally unique, non-hash based id that stores metadata with the content for true content mobility with the ability to evolve server and storage hardware for decades to come, while maintaining the integrity of information.
"When architecting a complete cloud solution, object storage is critical," said Kevin Kluge, VP of Products at Citrix. "Object storage combines elements of web serving and traditional storage in a highly scalable solution that can quickly recover from any failure, making it ideal as the main storage target for unstructured data stored by Apache CloudStack. We are pleased that Caringo has submitted its CloudStack integration to the Apache Software Foundation as it gives all Apache CloudStack users open access to one of the most robust and scalable object storage engines on the market."
The combined solution is ideal for providing a complete cloud service, including compute and storage, secure within a user's data center for private use or to offer as a public service. The use of CAStor as the main content store also includes servicing with no downtime and zero provisioning for real-time expansion and true 7x24 operations making 'just-in-time' delivery of storage-as-a-service possible while maintaining high performance and quality of service.
"Content storage results in the largest data center footprint in any cloud service which is why administrators need to think about how they will refresh their hardware over time in addition to scalability," said Mark Goros, CEO of Caringo. "What our software does is decouple content from hardware, solving scale and hardware obsolescence issues while providing the ability to optimize storage infrastructure for footprint or access based upon the required level of 9s data durability. We are pleased to bring our software to CloudStack users and are committed to continuing to fulfill our mutual customers' most pressing storage needs."
Available now with a free, full featured 12 TB license
The integration is available for immediate download from the Apache Software Foundation under an ASL license. In addition, for a limited time, Caringo is offering a free, full featured 12 TB license for CAStor so that organizations can experience the benefits or using the market-leading object storage engine with CloudStack 4.0.
Caringo software gives enterprises everything they need to deliver private cloud storage or cloud storage as a service. The solution combines efficient object storage technology with elastic content protection, intelligent and automatic distribution and centralized management under a global namespace on your choice of commodity hardware. The result is a secure and compliant unified pool of storage that can expand or contract capacity and object count to meet any operational or business requirements – all at cloud economics and secure in your datacenter.
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 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.