November 30, 2010
Investor Dan Gordon produced a thoughtful piece this week on the future of the internet or, more specifically, the looming possibility of the long-heralded “world computer.” We are, as Gordon suggests, in the midst of a “transition from isolated computers that send data to one another over networks to a highly integrated worldwide computing fabric that distributes computation, storage, and data movement seamlessly, dynamically, and automatically without (much regard) to geography.”
In his musings on how long the full transition to a world computer will take and how the process will unfold, Gordon puts forth some rather interesting ideas, not the least of which is the fact that an explosion in cloud computing is central. Interestingly, he also suggests that as clouds grow to encompass more of our computing tasks, both personal and large-scale, geography is going to be more important than ever.
“There will be regional clouds based on minimum latencies and possibly some kinds of regional specialization. So, we might have an East Coast North America cloud with some specializations in financial and security ops…There might be a supply-chain cloud based in Taiwan or China. There might be an entertainment/media cloud based in LA.”
Further on the speculative front, Gordon says that for now, many customers outside of early adopters in cloud are not seeing the full value of cloud because the solution is not yet complete—or completely presented. There will need to be some niche from which all other appliances feed and that cloud appliance will branch out to bring cloud to a wider number of users if it can be demonstrated as the total package or complete solution.
As someone who places bets in technology for a living, Gordon’s ideas about the more rapid than expected “cloud-i-zation” provide a glimpse into the future from the perspective of someone whose livelihood depends on outpacing the earliest adopters. This is a short must-read for the week.
Full story at Internet Evolution
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.
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.