December 05, 2005
Fortinet enhanced and expanded its
security management functionality to provide comprehensive reporting,
vulnerability scanning and other features that let IT organizations
obtain increased visibility into their networks and address
governmental regulatory compliance requirements.
Fortinet announced FortiAnalyzer 3.0, a firmware
release for the product formerly known as FortiLog, whose name
change better reflects the product line's significant increase in
functionality. Fortinet also announced two new appliances in the
FortiAnalyzer family -- the 100A and 2000 models -- targeted at
small/medium business (SMB) and large enterprise deployments,
respectively. The FortiAnalyzer 3.0 firmware will run on the new
appliance models as well as Fortinet's existing FortiLog-400 and -800
FortiAnalyzer systems are purpose built appliances that provide
valuable intelligence and simplify and centralize the collection and
analysis of log and event data from Fortinet's FortiGate security
appliances, delivering highly relevant network reports, valuable
intelligence on network usage and assistance with meeting regulatory
"Regulatory obligations have forced many of our customers to face
the time consuming and often frustrating task of trying to collect and
make sense of vast amounts of security event data from multiple devices
spread across their distributed networks," said Chris Ralph, senior
information security consultant for Global Data Systems, a Fortinet
Partner and global provider of advanced IT solutions. "Fortinet's
FortiAnalyzer systems help ease this burden by delivering a centralized
view of security activity across FortiGate security appliances --
helping to improve network security and maximize IT resources."
The new FortiAnalyzer appliances deliver scalable capacity,
performance and enhanced 3.0 firmware features, providing
administrators with a single source for gathering, correlating,
analyzing and storing event data from dispersed FortiGate security
appliances across their network security infrastructure.
The FortiAnalyzer-2000 system provides capacity and performance to
meet the varied security analyzing, logging and reporting needs of
medium to large enterprises. It includes four gigabit Ethernet ports
and the highest amount of CPU performance and RAM of all FortiAnalyzer
systems to deliver larger networks with a comprehensive view of network
usage and security information. The FortiAnalyzer-2000 system has
storage capacities of up to 2.4TB through options for up to six 120 or
400GB hot-swappable hard disk drives and supports logging for up to
700 FortiGate security appliances, depending on configuration.
The FortiAnalyzer-100A system is suited to meet the security
analyzing, logging and reporting needs for small to mid-sized
enterprises. It includes four 10/100 Ethernet ports, and supports
logging for up to 100 FortiGate security appliances. The
FortiAnalyzer-100A system has storage capacity of 120GB.
All FortiAnalyzer systems securely aggregate and analyze log data
from multiple FortiGate integrated network security appliances to
provide network administrators with a centralized graphical view of
network usage and security information. A convenient, built-in report
generator lets administrators quickly gain useful analysis on key
events to support security response, network planning, acceptable use
enforcement and compliance with governmental regulations regarding
privacy and disclosure of security breaches. FortiAnalyzer systems
accept and process a full range of log records provided by FortiGate
security appliances -- including traffic, event, virus, attack, content
filtering, and email filtering data. Additionally, they support
configurable RAID-based storage, provide syslog support for third-party
networking and security systems and include a vulnerability scanner
that is platform independent.
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.