February 25, 2013
ORLANDO, Fla., Feb. 25 – Multiple employees of Jitscale, the international outsourcing partner for business-critical IT platforms, have obtained Certificate of Cloud Security Knowledge (CCSK), the first certification program in the industry for secure cloud computing. The certification recognizes professionals with a responsibility related to cloud computing who have demonstrated in-depth knowledge of the security threats and best practices for securing the cloud. Currently, additional Jitscale employees are working on obtaining the certificate. Based in the Netherlands, Jitscale serves customers in the United States from offices in Orlando, Fla.
The CCSK certification is an initiative of the Cloud Security Alliance. This is a not-for-profit organization whose mission is twofold: promote the use of best practices for providing security assurance within Cloud Computing, and provide education on the use of Cloud Computing to help secure all other forms of computing. The Cloud Security Alliance is led by a broad coalition of industry practitioners, corporations, associations and other key stakeholders.
“Growth is a key driver for our organization, both on a personal and on a business level”, says Anne Janse, security officer at Jitscale, who recently obtained the CCSK certification. “This means that we strive to grow as a company, but also as a group of individuals. Through education and training we seek to get the most out of our employees and by doing so further develop our services and optimize client satisfaction.”
Jitscale recognizes the importance of investing in educating and training its employees to guarantee the quality of its services. In this light, Jitscale also achieved the ISO 9001:2008 and 14001:2004 certificates, in September 2012. Furthermore, Jitscale has CISSP certified engineers (Certified Information Systems Security Professional) among its staff. The CISSP certification is a globally recognized performance standard that demonstrates the knowledge of an individual in the field of information security.
Jitscale is an IT management organization that specializes in designing, managing and optimizing business-critical IT platforms. Jitscale has an independent view on technology and infrastructure and combines this with 24/7 management, thus positioning itself as an outsourcing partner of new technologies for multinationals as well as SMEs. Jitscale serves its customers from offices in the Netherlands, the United Kingdom and the United States.
Jitscale provides fully managed and tailored services, perfectly suited to customer needs and supported by a comprehensive service level agreement.
Jitscale has received an ISO/IEC 27001, 14001 and 9001 certification for all its global services and offers its services on physical, cloud and hybrid infrastructures through the Jitscale Management Layer (JML). Jitscale uses the JML to automate manual management tasks to reduce incidents and turnaround times and to improve quality, dynamic scaling and increase cloud over cloud opportunities.
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 |
he 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.
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.