Welcome!

.NET Authors: Lori MacVittie, Yeshim Deniz, Ivan Antsipau, Liz McMillan, Michael Bushong

News Feed Item

Belo Sun Increases Measured and Indicated Resources to 4.1 Million Ounces of Gold Plus Inferred Resources of 2.8 Million Ounces of Gold at Its Volta Grande Gold Project, Brazil

TORONTO, ONTARIO -- (Marketwire) -- 12/18/12 -- Belo Sun Mining Corp. (TSX:BSX) (the "Company" or "Belo Sun") has completed an updated, independently audited mineral resource statement for its 100% owned Volta Grande gold project in Para State, Brazil. This updated mineral resource statement includes results from 273 additional drill holes (covering 75,482 metres), for which the results were received prior to October 30, 2012. These drill holes were completed subsequent to the mineral resource statement announced in April 2012.

These results were audited by SRK Consulting (Canada) Inc and SRK Consultores do Brasil Ltda. and in their memo they commented, "It is interesting to note that this additional drilling represents an increase of approximately 40 percent of the drilling database, and yields approximately 44 percent more Measured and Indicated gold ounces and 20 percent more Inferred ounces. The closer spaced boreholes drilled during that period increased the confidence in the geological interpretation and the continuity of grade and thus delivered a positive impact to the mineral resource evaluation."

Comparison Between July 2012 Technical Report and December 2012 Mineral Resource Statement


----------------------------------------------------------------------------
----------------------------------------------------------------------------
                              July 2012                 December 2012       
                      Quantity  Grade  Contained  Quantity  Grade  Contained
                                            Gold                        Gold
Classification           ('000  (gpt)      ('000     ('000  (gpt)      ('000
                       Tonnes)   Gold       (oz)   Tonnes)   Gold       (oz)
----------------------------------------------------------------------------
Measured                34,281   1.71      1,887    42,422   1.73      2,356
                                                                            
Indicated               18,170   1.65        966    31,360   1.73      1,746
                                                                            
Measured + Indicated    52,451   1.69      2,852    73,782   1.73      4,103
                                                                            
Inferred                39,990   1.81      2,322    44,246   1.96      2,788
----------------------------------------------------------------------------

---------------------------------------------------
---------------------------------------------------
                         Percentage Difference     
                      Quantity   Grade   Contained 
                                              Gold 
Classification           ('000   (gpt)             
                       Tonnes)    Gold        (oz) 
---------------------------------------------------
Measured                    24%      1%         25%
                                                   
Indicated                   73%      5%         81%
                                                   
Measured + Indicated        41%      2%         44%
                                                   
Inferred                    11%      8%         20%
---------------------------------------------------

The results represent an important upgrade of Belo Sun's estimated mineral resources for the Volta Grande Project as follows (see Table below for resource estimate details):


--  Measured and Indicated Pit Constrained Mineral Resources of 4.1 Million
    Ounces of gold at an average grade of 1.73 g/t Au, which represents an
    increase of 44% in these resource categories (from 2.8 Million Ounces)
    and further improvement in average gold grade for these categories (from
    1.69 g/t Au). 
--  Inferred Pit Constrained Mineral Resources of 2.6 Million Ounces of gold
    at an average grade of 1.89 g/t Au, which represents a 16% increase in
    the estimated inferred resources (from 2.2 Million Ounces at 1.75 g/t
    Au). 
--  Underground resources of 21,000 ounces of gold at an average grade of
    3.26 g/t Au in the Indicated category and 229,000 ounces at an average
    grade of 3.37 g/t Au in the Inferred category. 

Helio Diniz, Vice President Exploration of the Company, commented: "This is another outstanding achievement by Belo Sun's exploration team. The results have expanded and upgraded the mineral resources at the Volta Grande Gold Deposit. Moreover, the deposits remain open for further expansion, further supporting the concept that the Volta Grande deposits are part of an extensive mineralized system. We have no doubt that this will be one of the largest gold deposits discovered in Brazil."

This mineral resource estimate will be the basis for the preliminary feasibility studies being carried out by AMEC Minproc Engenharia e Consultoria Limitada, which are expected to be completed in Q1 2013. The mineral resource model was constructed by Belo Sun and was audited by SRK Consulting (Canada) Inc. (SRK) using the same audit methodology as for the previous audited mineral resource statement.

The audited mineral resource statement is reported in compliance with National Instrument 43- 101 guidelines; the corresponding Technical Report will be filed under the Company's profile on SEDAR in due course. The mineral resource model was completed by the Belo Sun team under supervision of David Gower, P.Geo, and Carlos Costa, P.Geo. each of whom is a Qualified Person as defined by National Instrument 43-101. The mineral resource model was audited by Dr. Oy Leuangthong, P.Eng, and Dr. Lars Weiershauser, P.Geo of SRK who are Independent Qualified Persons as defined by National Instrument 43-101.

Some of the more relevant parameters utilized in the current resource estimate are listed below:


       --------------------------------------------------------------
       Parameter                Units                                
       --------------------------------------------------------------
       --------------------------------------------------------------
       Gold Price              US$/Oz                          $1,400
       Cut Off Grade           g/t Au               0.5 (OP) 2.0 (UG)
       Block Dimensions        meters       12.5 (L) x 5 (W) x 10 (H)
       Composite length        meters                             1.0
                                                                     
----------------------------------------------------------------------------
                          Ouro Verde   Grota Seca   South Block        Total
----------------------------------------------------------------------------
----------------------------------------------------------------------------
Composites   No.              11,438       15,602           431       27,471
----------------------------------------------------------------------------
Holes        No.                 259          467            62          788
----------------------------------------------------------------------------
Drilling     meters        69,474.02   109,884.36     14,274.64   193,633.02
----------------------------------------------------------------------------

The Company is continuing the drilling program to upgrade and expand mineral resources further, as both deposits remain open at depth and along strike.

The Audited Mineral Resource Statement (1) for Volta Grande is presented below


----------------------------------------------------------------------------
VOLTA GRANDE RESOURCES ESTIMATE (DEC                     MEASURED +         
 2012)                                MEASURED INDICATED  INDICATED INFERRED
----------------------------------------------------------------------------
                                                                            
Ouro Verde Pit       Tonnes ('000s)     20,789    17,034     37,823   18,640
Constrained          Grade (g/t Au)       1.85      1.69       1.78     1.71
                     Ounces ('000s)      1,237       926      2,162    1,025
                                                                            
Grota Seca Pit       Tonnes ('000s)     21,629    14,133     35,762   18,124
Constrained          Grade (g/t Au)       1.61      1.77       1.67     1.83
                     Ounces ('000s)      1,120       804      1,924    1,066
                                                                            
South Block Pit      Tonnes ('000s)                                    5,368
Constrained          Grade (g/t Au)                                     2.73
                     Ounces ('000s)                                      471
                                                                            
----------------------------------------------------------------------------
Total Pit            Tonnes ('000s)     42,418    31,167     73,585   42,132
Constrained          Grade (g/t Au)       1.73      1.73       1.73     1.89
                     Ounces ('000s)      2,356     1,730      4,086    2,562
----------------------------------------------------------------------------
                                                                            
Ouro Verde           Tonnes ('000s)                   38         38      954
Underground          Grade (g/t Au)                 2.78       2.78     2.94
                     Ounces ('000s)                    3          3       90
                                                                            
Grota Seca           Tonnes ('000s)                  161        161      752
Underground          Grade (g/t Au)                 3.37       3.37     3.64
                     Ounces ('000s)                   17         17       88
                                                                            
South Block          Tonnes ('000s)                                      408
Underground          Grade (g/t Au)                                     3.89
                     Ounces ('000s)                                       51
                                                                            
----------------------------------------------------------------------------
Total                Tonnes ('000s)                  199        199    2,114
Underground          Grade (g/t Au)                 3.26       3.26     3.37
                     Ounces ('000s)                   21         21      229
----------------------------------------------------------------------------
                                                                            
----------------------------------------------------------------------------
                     Tonnes ('000s)     42,418    31,366     73,784   44,246
TOTAL                Grade (g/t Au)       1.73      1.74       1.73     1.96
                     Ounces ('000s)      2,356     1,751      4,107    2,791
----------------------------------------------------------------------------
                                                                            
 (1)  Audited mineral resource statement prepared by SRK Consulting (Canada)
      Inc. The effective date of the audited mineral resource statement is  
      December 18, 2012. Mineral resources are not mineral reserves and do  
      not have demonstrated economic viability. All figures have been       
      rounded to reflect the relative accuracy of the estimates.            
      Open pit mineral resources are reported at a cut-off grade of 0.5 g/t 
      gold, and underground mineral resources are reported at a cut-off     
      grade of 2.0 g/t gold. Cut-off grades are based on a number of        
      parameters and assumptions including gold price of US$1,400 per troy  
      ounce, 94% metallurgical gold recovery for weathered and unweathered  
      rock, open pit mining costs of US$1.41/tonne, process costs of        
      US$11.98/ tonne, General & Administrative costs of US$2.89/tonne and  
      selling costs (refining, transport, insurance and environment) of     
      US$13.82 per troy ounce.                                              
      The quantity and grade of the reported inferred mineral resources are 
      uncertain in nature and there has been insufficient exploration to    
      define the inferred mineral resources as indicated or measured mineral
      resources and it is uncertain if further exploration will result in   
      upgrading them to an indicated or measured mineral resource category. 
      The mineral resources have been classified according to the Canadian  
      Institute of Mining, Metallurgy and Petroleum Definition Standards for
      Mineral Resources and Mineral Reserves (November 2010).               

Certain mineral resource estimation parameters:


(a) The gold mineralization envelopes were modelled into wireframe solids   
    using a 0.5 g/t Au cut-off grade in fresh and saprolite rocks utilizing 
    vertical and horizontal sections. 3D shells were generated by linking   
    the sections.                                                           
(b) A specific gravity of 2.75 was used for the Grota Seca (GS) and the Ouro
    Verde (OV) deposits and 2.77 for the South Block and 1.36 for the       
    saprolite in both deposits.                                             
(c) Estimations are based on original samples capped at 9 - 40 g/t Au       
    depending on the resource domain.                                       
(d) The database for the Ouro Verde Deposit includes 45 historical core     
    boreholes (8,190 metres) and 214 boreholes (61,284 metres) completed and
    assayed by Belo Sun since April 2010.                                   
(e) The mineralized zones at the Ouro Verde deposit extend for about 2,400  
    metres along strike. Eight gold mineralization domains were modelled in 
    fresh rock, and one saprolite domain was modelled. The gold             
    mineralization thickness ranges from 2 to 55 metres. The maximum allowed
    internal dilution is approximately 3 metres.                            
(f) The database for the Grota Seca Deposit comprises 11 reverse circulation
    and 129 historical core boreholes (24,730 metres) and 48 reverse        
    circulation and 279 core boreholes (85,155 metres) completed and assayed
    by Belo Sun since April 2010.                                           
(g) The mineralized zones at the Grota Seca deposit extend 2,900 metres     
    along strike. Seven gold mineralization domains were modelled in fresh  
    rock, and one saprolite domain was modelled. The gold mineralization    
    thickness ranges from 2 to 70 metres. The maximum allowed internal      
    dilution is approximately 3 metres.                                     
(h) The database for the South Block Deposits comprises 22 historical core  
    boreholes (3,370 metres and 40 core boreholes (10,905 metres) completed 
    and assayed by Belo Sun since April 2010.                               
(i) The mineralized zones at the South Block Deposits extend discontinuously
    for about 1,900 metres along strike. Three gold mineralization domains  
    were modelled in fresh rock, and one saprolite domain was modelled. The 
    gold mineralization thickness ranges from 2 to 16 metres. The maximum   
    allowed internal dilution is approximately 3 metres.                    
(j) Block model gold grades were estimated using ordinary kriging informed  
    by 1.0 m capped composites. All estimations are based on a percent block
    model with unitary dimension of 12.5 m E, 5.0 m N and 10 m elevation    
    rotated -17 degrees clockwise in the Ouro Verde and Grota Seca deposits
    and -25 degrees in the South Block.                                    
(k) "Open-pit" mineral resources are reported at a cut-off grade of 0.5 g/t 
    Au. "Underground" mineral resources (outside pit shell) are reported at 
    a cut-off grade of 2.0 g/t Au.                                          
(l) Measured mineral resources include all mineralized blocks within one    
    time of the variogram range and informed from a minimum of 3 boreholes  
    in 3 octants.                                                           
(m) Indicated mineral resources include all mineralized blocks within one   
    time of the variogram range and informed from a minimum of 2 boreholes  
    using an elliptical search.                                             
(n) Inferred mineral resources include all mineralized blocks estimated     
    during the first and second estimation runs using full variogram ranges 
    and blocks estimated within two times of the variogram range and        
    informed from a minimum of 2 boreholes.                                 

Quality Assurance and Quality Control

The scientific and technical information in this press release has been reviewed and approved by Dr. Jean-Francois Couture, P.Geo (APGO#0196) and Dr. Oy Leuangthong, P.Eng (PEO#90563867) of SRK, Carlos Cravo, P.Geo, Project Manager for Belo Sun and David Gower, P.Geo., an advisor to Belo Sun, who are Qualified Persons as defined by National Instrument 43-101. Dr. Couture and Dr. Leuangthong are independent from Belo Sun. The exploration program is directly supervised by Mr. Carlos Cravo, P.Geo., Belo Sun's Project Manager. Belo Sun's procedures for handling drill core comprise initial description and logging into a Microsoft Access database. Mineralized, suspected mineralized or unmineralized intervals in the drill holes are described in detail and marked for sampling. Core is then cut in half with the right-hand portion of the core put into plastic sample bags and sealed. The left-hand portion is returned to the core box and is stored for future reference or study. Assay standard and "Blank" samples are inserted every 20th sample. These samples are then delivered to ACME Labs sample preparation facility at the Project site. The assay samples are then fine-crushed to better than 80% passing 10 mesh screens, with an assay pulp split of up to 1,000 grams pulverized to better than 85% passing 200 mesh screen. Samples are assayed at ACME Labs in Santiago, Chile, using a 50 gram fire assay procedure with atomic absorption spectrometry finish. Belo Sun implements analytical quality control measures that include the use of control samples (blanks reference material, duplicates). Those procedures were audited by SRK and found to be consistent with generally recognized international industry best practices for pre-development exploration projects.

Cautionary Statement on Forward Looking Information

This press release contains "forward-looking information" within the meaning of applicable Canadian securities legislation. Forward-looking information includes, without limitation, statements regarding the impact of drill results and this mineral resources estimate on the Company, the projected economics of the project, and the Company's understanding of the project; statements with respect to the development potential and timetable of the project; the estimation of mineral resources; realization of mineral resource estimates; the timing and amount of estimated future exploration; costs of future activities; capital and operating expenditures; success of exploration activities; currency exchange rates; government regulation of mining operations; and environmental risks. Generally, forward-looking information can be identified by the use of forward-looking terminology such as "plans", "expects" or "does not expect", "is expected", "budget", "scheduled", "estimates", "forecasts", "intends", "anticipates" or "does not anticipate", or "believes", or variations of such words and phrases or state that certain actions, events or results "may", "could", "would", "might" or "will be taken", "occur" or "be achieved". Forward-looking information is subject to known and unknown risks, uncertainties and other factors that may cause the actual results, level of activity, performance or achievements of the Company to be materially different from those expressed or implied by such forward-looking information, including risks inherent in the mining industry and risks described in the public disclosure of the Company which is available under the profile of the Company on SEDAR at www.sedar.com and on the Company's website at www.belosun.com. Although the Company has attempted to identify important factors that could cause actual results to differ materially from those contained in forward-looking information, there may be other factors that cause results not to be as anticipated, estimated or intended. There can be no assurance that such information will prove to be accurate, as actual results and future events could differ materially from those anticipated in such statements. Accordingly, readers should not place undue reliance on forward-looking information. The Company does not undertake to update any forward-looking information, except in accordance with applicable securities laws.

Contacts:
Belo Sun Mining Corp.
Mark Eaton
President and CEO
(416) 309-2137
www.belosun.com

More Stories By Marketwired .

Copyright © 2009 Marketwired. All rights reserved. All the news releases provided by Marketwired are copyrighted. Any forms of copying other than an individual user's personal reference without express written permission is prohibited. Further distribution of these materials is strictly forbidden, including but not limited to, posting, emailing, faxing, archiving in a public database, redistributing via a computer network or in a printed form.

@ThingsExpo Stories
The Internet of Things (IoT) is going to require a new way of thinking and of developing software for speed, security and innovation. This requires IT leaders to balance business as usual while anticipating for the next market and technology trends. Cloud provides the right IT asset portfolio to help today’s IT leaders manage the old and prepare for the new. Today the cloud conversation is evolving from private and public to hybrid. This session will provide use cases and insights to reinforce the value of the network in helping organizations to maximize their company’s cloud experience.
Cultural, regulatory, environmental, political and economic (CREPE) conditions over the past decade are creating cross-industry solution spaces that require processes and technologies from both the Internet of Things (IoT), and Data Management and Analytics (DMA). These solution spaces are evolving into Sensor Analytics Ecosystems (SAE) that represent significant new opportunities for organizations of all types. Public Utilities throughout the world, providing electricity, natural gas and water, are pursuing SmartGrid initiatives that represent one of the more mature examples of SAE. We have spoken with, or attended presentations from, utilities in the United States, South America, Asia and Europe. This session will provide a look at the CREPE drivers for SmartGrids and the solution spaces used by SmartGrids today and planned for the near future. All organizations can learn from SmartGrid’s use of Predictive Maintenance, Demand Prediction, Cloud, Big Data and Customer-facing Dashboards...
All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
Noted IoT expert and researcher Joseph di Paolantonio (pictured below) has joined the @ThingsExpo faculty. Joseph, who describes himself as an “Independent Thinker” from DataArchon, will speak on the topic of “Smart Grids & Managing Big Utilities.” Over his career, Joseph di Paolantonio has worked in the energy, renewables, aerospace, telecommunications, and information technology industries. His expertise is in data analysis, system engineering, Bayesian statistics, data warehouses, business intelligence, data mining, predictive methods, and very large databases (VLDB). Prior to DataArchon, he served as a VP and Principal Analyst with Constellation Group. He is a member of the Boulder (Colo.) Brain Trust, an organization with a mission “to benefit the Business Intelligence and data management industry by providing pro bono exchange of information between vendors and independent analysts on new trends and technologies and to provide vendors with constructive feedback on their of...
Software AG helps organizations transform into Digital Enterprises, so they can differentiate from competitors and better engage customers, partners and employees. Using the Software AG Suite, companies can close the gap between business and IT to create digital systems of differentiation that drive front-line agility. We offer four on-ramps to the Digital Enterprise: alignment through collaborative process analysis; transformation through portfolio management; agility through process automation and integration; and visibility through intelligent business operations and big data.
There will be 50 billion Internet connected devices by 2020. Today, every manufacturer has a propriety protocol and an app. How do we securely integrate these "things" into our lives and businesses in a way that we can easily control and manage? Even better, how do we integrate these "things" so that they control and manage each other so our lives become more convenient or our businesses become more profitable and/or safe? We have heard that the best interface is no interface. In his session at Internet of @ThingsExpo, Chris Matthieu, Co-Founder & CTO at Octoblu, Inc., will discuss how these devices generate enough data to learn our behaviors and simplify/improve our lives. What if we could connect everything to everything? I'm not only talking about connecting things to things but also systems, cloud services, and people. Add in a little machine learning and artificial intelligence and now we have something interesting...
Last week, while in San Francisco, I used the Uber app and service four times. All four experiences were great, although one of the drivers stopped for 30 seconds and then left as I was walking up to the car. He must have realized I was a blogger. None the less, the next car was just a minute away and I suffered no pain. In this article, my colleague, Ved Sen, Global Head, Advisory Services Social, Mobile and Sensors at Cognizant shares his experiences and insights.
We are reaching the end of the beginning with WebRTC and real systems using this technology have begun to appear. One challenge that faces every WebRTC deployment (in some form or another) is identity management. For example, if you have an existing service – possibly built on a variety of different PaaS/SaaS offerings – and you want to add real-time communications you are faced with a challenge relating to user management, authentication, authorization, and validation. Service providers will want to use their existing identities, but these will have credentials already that are (hopefully) irreversibly encoded. In his session at Internet of @ThingsExpo, Peter Dunkley, Technical Director at Acision, will look at how this identity problem can be solved and discuss ways to use existing web identities for real-time communication.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. It also ensured scalability and better service for customers, including MUY! Companies, one of the country's largest franchise restaurant companies with 232 Pizza Hut locations. This is one example of WebRTC adoption today, but the potential is limitless when powered by IoT. Attendees will learn real-world benefits of WebRTC and explore future possibilities, as WebRTC and IoT intersect to improve customer service.
From telemedicine to smart cars, digital homes and industrial monitoring, the explosive growth of IoT has created exciting new business opportunities for real time calls and messaging. In his session at Internet of @ThingsExpo, Ivelin Ivanov, CEO and Co-Founder of Telestax, will share some of the new revenue sources that IoT created for Restcomm – the open source telephony platform from Telestax. Ivelin Ivanov is a technology entrepreneur who founded Mobicents, an Open Source VoIP Platform, to help create, deploy, and manage applications integrating voice, video and data. He is the co-founder of TeleStax, an Open Source Cloud Communications company that helps the shift from legacy IN/SS7 telco networks to IP-based cloud comms. An early investor in multiple start-ups, he still finds time to code for his companies and contribute to open source projects.
The Internet of Things (IoT) promises to create new business models as significant as those that were inspired by the Internet and the smartphone 20 and 10 years ago. What business, social and practical implications will this phenomenon bring? That's the subject of "Monetizing the Internet of Things: Perspectives from the Front Lines," an e-book released today and available free of charge from Aria Systems, the leading innovator in recurring revenue management.
The Internet of Things will put IT to its ultimate test by creating infinite new opportunities to digitize products and services, generate and analyze new data to improve customer satisfaction, and discover new ways to gain a competitive advantage across nearly every industry. In order to help corporate business units to capitalize on the rapidly evolving IoT opportunities, IT must stand up to a new set of challenges.
There’s Big Data, then there’s really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at 6th Big Data Expo®, Hannah Smalltree, Director at Treasure Data, to discuss how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines.
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...
Innodisk is a service-driven provider of industrial embedded flash and DRAM storage products and technologies, with a focus on the enterprise, industrial, aerospace, and defense industries. Innodisk is dedicated to serving their customers and business partners. Quality is vitally important when it comes to industrial embedded flash and DRAM storage products. That’s why Innodisk manufactures all of their products in their own purpose-built memory production facility. In fact, they designed and built their production center to maximize manufacturing efficiency and guarantee the highest quality of our products.
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. Over the summer Gartner released its much anticipated annual Hype Cycle report and the big news is that Internet of Things has now replaced Big Data as the most hyped technology. Indeed, we're hearing more and more about this fascinating new technological paradigm. Every other IT news item seems to be about IoT and its implications on the future of digital business.