December 04, 2006
According to TheInfoPro's Wave 2
Networking Study, 26 percent of enterprises interviewed have already
adopted the use of 10 Gigabit Ethernet (10GbE) in their core networks.
The study also reveals that this figure is set to grow by over 30
percent by the end of 2007, placing it at the top of the TheInfoPro's
Technology Heat Index of Data Network Infrastructure technologies. The
findings are derived from 126 hour-long interviews with TheInfoPro's
TIPNetwork of pre-screened networking professionals from Fortune 1000
and Mid-sized enterprises that provide expert commentary for TIP's
To view a rich media presentation of findings visit: http://www.brainshark.com/theinfopro/TIP_Networking_W2_Preview.
"Enterprises have been gaining the benefits of data center consolidation and server virtualization for some time now. In many cases, their core network becomes an impediment to the overall performance of the enterprise business applications," stated Bill Trussell, managing director of TheInfoPro's Networking Sector. "With so many organizations depending heavily on their core applications, achieving peak performance to those infrastructure elements becomes paramount," Trussell indicated. "Some enterprises have found upgrading their core networking to be relatively straightforward using their incumbent networking supplier while others are taking the opportunity to evaluate solutions offered by other technology companies," adds Trussell.
Enterprise networking and companies including Nortel, Cisco, 3Com, HP, Enterasys, Juniper Networks, Extreme Networks, F5 Networks, Foundry, and Force10 Networks stand to gain from this growing trend.
TheInfoPro's Wave 2 Networking Study details technology adoption trends and timeframes, management techniques and trends, vendor performance data as well as management strategies for the networking sector.
Additional Networking companies covered in the Wave 2 Networking Study include AT&T, Aruba, AudioCodes, Avaya, Aventail, BellSouth, Check Point, Citrix, Dell, Fortinet, IBM, Inter-Tel, INX, Level 3, Motorola, Packeteer, Qwest, Riverbed, ShoreTel, Skype, SonicWALL, Time Warner, and Verizon.
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 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.