Click here to close now.


Microsoft Cloud Authors: Andreas Grabner, Elizabeth White, Jim Kaskade, Pat Romanski, David Bermingham

Related Topics: Microsoft Cloud

Microsoft Cloud: Article

How to Write High-Performance C# Code

Optimize early and often

Writing code that runs quickly is sometimes at odds with writing code quickly. C.A.R. Hoare, computer science luminary and discoverer of the QuickSort algorithm, famously proclaimed, "Premature optimization is the root of all evil." The extreme programming design principle of "You Aren't Gonna Need It" (YAGNI) argues against implementing any features, including performance optimizations, until they're needed.

Writing unnecessary code is undoubtedly bad for work efficiency. However, it's important to realize that different situations have different needs. Code for vehicular real-time control systems has inherent up-front responsibilities for stability and performance that aren't present in, say, a small one-off departmental application. Therefore, it's more important in such code to optimize early and often.

Performance tuning for real-world applications often involves activities geared towards finding bottlenecks: in code, in the network transport layer, and at transaction boundaries. However, these techniques alone cannot solve the dreaded problem of uniformly slow code, which surfaces when large bottlenecks have been resolved but the code still exhibits inadequate performance. This is code that has been written without attention to correct usage, often by junior programmers, in the same style across whole modules or applications. Unfortunately, the best solution for this problem is to make sure that all programmers on a project follow correct coding practice when writing the code the first time; coding guidelines and good shared libraries help enormously.

This article presents helpful tips for writing in-process .NET managed code that performs well. It's assumed that basic programming skills such as factoring control structures, pulling work outside of loops whenever possible, caching variables for reuse, use of the switch statement, and the like are known to the average reader.

All code examples referred to in this article can be downloaded from the .NET Developer's Journal Web site, at The code comes with a Windows Forms application that can be used to easily view the code and run all the tests on your own machine. You'll need the .NET Runtime 1.1 to run the code.

While testing tools such as NUnit and the upcoming VS.NET 2005 Team System can help you find bottlenecks, when tuning small sections of code, there's still no substitute for the micro-benchmark. This is because most generic testing frameworks depend on things like delegates, attributes, and/or interface method calls to do testing, and the code usually is not written with benchmarking primarily in mind. This can be very significant if you're interested in measuring the execution time of a batch of code down to the microsecond or even nanosecond level.

A micro-benchmark consists of a tight loop isolating the code that's being tested for performance, with a time reading before and after. When the test has finished, the start time is subtracted from the end time, and this duration is divided by the number of iterations to get the per-iteration time cost. The following code shows a simple micro-benchmark construct:


int loopCount = 1000000000;
long startTime, endTime;
double nanoseconds;

startTime = DateTime.Now.Ticks * 100;
for(int x = 0; x < loopCount; x++) {
    // put the code to be tested here
endTime = DateTime.Now.Ticks * 100;
nanoseconds = ((double)(endTime - startTime)) / ((double)loopCount);
Console.WriteLine(nanoseconds.ToString("F") + " ns per operation");

When performing a simple micro-benchmark, it's important to remember a couple of things. First, small fluctuations (noise) are normal, so to obtain the most accurate results, each test should be run several times. In particular, the first set of tests executed after program initialization may be skewed due to the lazy acquisition of resources by the .NET runtime. Also, if your results are very inconsistent, you may not have penetrated the "noise floor" of the measurement. The best solution for this is to increase the number of loops and/or tests. Another thing to remember is that looping itself introduces overhead, and for the most accurate readings, you should subtract this from the result. On a P4-M 2-GHz laptop, the per-loop overhead for a for loop with an int counter in release mode is around 1 nanosecond.

I'd never advocate running each code fragment from a long program through micro-benchmarks, but benchmarking is a good way to become familiar with the relative costs of different types of expressions. True knowledge of the performance of your code is built on actual observations. As time goes on, you'll find yourself needing such tests less and less, and you'll keep track in the back of your head of the relative performance of the statements you're writing.

Another important tool is ildasm.exe, the IL disassembler. With it, you can inspect the IL of your release builds to see if your assumptions are correct about what's going on under the covers. IL is not hard to read for a person familiar with the .NET framework; if you're interested in learning more, I suggest starting with Serge Lidin's book on the subject.

A great free tool for decompiling IL to C# or VB source, Reflector, is found at; it's incredibly useful for viewing code that ships with the .NET Framework, for those of you less familiar with IL.

The CLR Profiler, available as a free download from Microsoft's Web site, allows you to track memory allocation and garbage collection activity, among other useful features. Also, the MSDN Web site has excellent coverage of performance metrics tools such as WMI and performance counters.

Working with Objects and Value Types
Objects: A Double Whammy
Objects are expensive to use, partly because of the overhead involved in allocating memory from the heap (which is actually well-optimized in .NET) and partly because every created object must eventually be destroyed. The destruction of an object may take longer than its creation and initialization, especially if the class contains a custom finalization routine. Also, the garbage collector runs in an indeterministic way; there's no guarantee that an object's memory will be immediately reclaimed when it goes out of scope, and until it's collected, this wasted memory can adversely affect performance.

The Garbage Collector in a Nutshell
It's necessary to understand garbage collection to appreciate the full impact of using objects. The single most important fact to know about the garbage collector is that it divides objects into three "generations": 0, 1, and 2. Every object starts out in generation 0; if it survives (if at least one reference is maintained) long enough, it goes to 1; much later, it transitions to 2. The cost of collecting an object increases with each generation. For this reason, it's important to avoid creating unnecessary objects, and to destroy each reference as quickly as possible. The objects that are left will often be long-lived and won't be destroyed until application shutdown.

Lazy Instantiation/Initialization
The Singleton design pattern is often used to provide a single global instance of a class. Sometimes it's the case that a particular singleton won't be needed during an application run. It's generally good practice to delay the creation of any object until it's needed, unless there's a specific need to the contrary - for instance, to pre-cache slow-initializing objects such as database connections. The "double-checked locking" pattern is useful in these situations, as a way to avoid synchronization and still ensure that a needed action is only performed once. Lazy initialization is a technique that can enhance the performance of an entire application through object reduction.

Avoiding Use of Class Destructors
Class destructors (implemented as the Finalize() method in VB.NET) cause extra overhead for the garbage collector, because it must track which objects have been finalized before their memory can be reclaimed. I've never had a need for finalizers in a purely managed application.

Casting and Boxing/Unboxing Overhead
Casting is the dynamic conversion of a type at runtime to another, and boxing is the creation of a reference wrapper for a value type (unboxing being the conversion back to the wrapped value type). The overhead of both is most heavily felt in collections classes, as they all - with the exception of certain specialized ones like StringDictionary - store each value as an Object. For instance, when you store an Int32 in an ArrayList, it is first boxed (wrapped in an object) when it is inserted; each time the value is read, it is unboxed before it is returned to the calling code.

This will be fixed in the next version of .NET with the introduction of generics, but for now you can avoid it by creating strongly typed collections and by typing variables and parameters as strongly as possible. If you're unsure about whether or not boxing/unboxing is taking place, you can check the IL of your code for appearances of the box and unbox keywords.

Trusting the Garbage Collector
Programmers new to .NET sometimes worry about memory allocation to the point that they explicitly invoke System.GC.Collect(). Garbage collection is a fairly expensive process, and it usually works best when left to its own devices. The .NET garbage collection scheme can intentionally delay reclamation of objects until memory is available, and in particular longer-lived objects (those that make it to generation 1 or 2) may not be reclaimed for an extended period. Even a simple "Hello, world!" console application may allocate 15 MB or more of memory for its "working set." My advice: don't call GC.Collect() unless you really know what you're doing.

Properties, Methods, and Delegates
Avoiding Overuse of Property Getters and Setters
Most people don't realize that property getters and setters are similar to methods when it comes to overhead; it's mainly syntax that differentiates them. A non-virtual property getter or setter that contains no instructions other than the field access will be inlined by the compiler, but in many other cases, this isn't possible. You should carefully consider your use of properties; from inside a class, access fields directly (if possible), and never blindly call properties repeatedly without storing the value in a variable. All that said, this doesn't mean that you should use public fields! Example 1 demonstrates the performance of properties and field access in several common situations.

About Delegates
Delegates are slower to execute than interface methods. Delegates are often used to introduce a level of indirection in code, but in almost all cases interfaces allow a cleaner design. Of course, it's impossible to completely shun delegates; the entire event-handling paradigm in .NET is based on them. Example 2 compares the performance of delegates and direct method calls.

Minimizing Method Calls
The .NET compiler is capable of performing many optimizations for release builds. One of them is called "method inlining." If method A calls method B and certain other conditions are met, such as the code in method B being small enough, the code from B will be copied into A during compilation. However, .NET won't or can't inline certain types of methods, such as virtual methods or methods over a certain size. Each method invocation/property access entails significant overhead, such as the allocation of a stack frame, etc. Of course, you should never repeatedly call a method for the same result on purpose, but you should also be mindful of the impact of method calls in general.

Using the 'Sealed' Keyword
Wherever extensibility is not required, you should use the sealed keyword. This makes your design easier to understand, as someone can tell at a glance if a certain class or method isn't meant to be extended or overridden. It also increases the chances that the compiler will inline code.

Working with Collections
Avoid Overuse of Collections
This might sound strange, but I'm not advocating working without data structures. The fact is, I've seen collections used many times when they don't actually simplify the code or provide any benefit at all. The single biggest avoidable use of collections is the use of an ArrayList when a simple array would suffice. It should be obvious that there's no way that calling a collection method - which may do significant work under the covers - can compare to something as simple as an array access for performance. See Example 3 for more information.

for vs foreach
The rumor abounds that the foreach loop is bad for performance. The truth is actually a little more complicated. Basically, foreach involves no performance penalty when used against arrays. However, when used against lists it involves the same overhead as creating an enumerator and using it within a try/catch block! Ildasm.exe may come in handy here to see what's going on. This isn't a complete killer, but if you do enough list access you may want to avoid it. Example 4 compares the two statements for access against an array and an ArrayList.

Enumerators: Don't Go Overboard
Just because the possibility exists for the enumerating of a collection doesn't mean you have to do it. For instance, the ArrayList class is useful as an array replacement; one of its best features is indexed element access. By using an enumerator with ArrayList, you hide its most useful features and introduce needless overhead. Example 5 shows the performance difference between indexed access and the use of an enumerator.

Avoid Overuse of Collection Wrappers
A peek at the code in classes such as ArrayList shows that, to implement synchronized, fixed-size, and read-only versions of these, methods such as Synchronized() actually create a new wrapper list around the original one (this scheme was copied from Java). While this is nice from certain design standpoints, it degrades performance; the method-call overhead for each operation is multiplied. For a fixed-size, synchronized ArrayList, this overhead is tripled! Chances are, if you're working with a collection and need synchronization, the code using the collection is already synchronized. In any case, simply locking on the collection itself around every access turns out to be faster than using a synchronized wrapper. Example 6 compares the use of a synchronized ArrayList with synchronizing access to an ArrayList.

Working With Strings
Don't Use String.Format() to Concatenate Strings
While string-formatting routines built into .NET are very useful for globalization and other tasks, they're not meant to be used for appending strings to each other. Example 7 tests the performance difference between String.Format() and string concatenation.

Use StringBuilder to Build Strings Inside Loops
The StringBuilder class is basically an array list for string fragments; the StringBuilder takes care of expanding its internal char array, hiding this from the user. The use of this class is also specially optimized by the .NET compiler, making it impossible to duplicate this functionality with equivalent performance (for instance, by manipulating char arrays directly and converting to a string afterwards). Example 8 shows the performance benefit of building a large string using StringBuilder instead of string concatenation.

Don't Use StringBuilder to Concatenate Small Numbers of Strings
Many .NET developers who consider themselves well-versed in performance matters advocate the use of the StringBuilder class whenever possible. However, it's not the fastest approach for concatenating small numbers of strings. Actually, any number can be combined in a single statement, although the performance benefit tends to dwindle above five or six substrings. This is due to instantiation and destruction overhead for the StringBuilder instance, as well as method-call overhead involved in calling Append() once for every added substring and ToString() once the string is built. What are the alternatives? Plus-sign concatenation and the String.Concat() method are equivalent; I prefer plus signs for readability. Note that this cannot be used across loops because the entire concatenation must occur within a single statement. Example 9 tests String.Concat() vs. StringBuilder for various numbers of substrings.

Don't Be Afraid to Use String Literals
Many developers incorrectly assume that a new object is created for every string literal, and, therefore, avoid their use. In some cases, using string literals directly in your code is a better approach than using string constants! It can make the code easier to understand and has no adverse impact on performance. This is due to the use of the .NET interned string table; this table maintains a String instance for every known string and reuses this instance whenever the same character sequence is used as a literal. See the documentation of the String.Intern() method for more details. Example 10 compares string literals to the use of string constants.

In itself, this is a huge topic. Most easy-to-apply, synchronization-related optimizations focus on minimizing the amount of code executing inside synchronized blocks, which may involve moving some code from inside to outside such blocks. In some cases, thoughtful programming may allow elimination of synchronization entirely from a class (see "Immutable Objects").

Performing a multithreaded micro-benchmark is more complicated than running a simple loop. In the simplest method, multiple threads are spawned, each looping over the benchmarked code; the reading is not started until all threads are successfully executing the code, and is terminated before the threads are shut down.

Thread Reuse
Newbie programmers make the common mistake of spawning a new thread for every request or other action. This can result in worse performance than using a single-threaded approach; the relative performance degradation is worse the quicker the individual requests can be serviced.

Writing Your Own Threading Code
Even better than the .NET thread pool, with its dependence on delegates, is to write your own threading code. Instead of using QueueUserWorkItem(), you typically write your own queueing code to coordinate work items. This also allows other benefits such as priority-based queueing.

Immutable Objects
Immutable objects are objects in which the data cannot be changed. In most cases, this is achieved by setting all fields in constructor methods and providing only property getters and/or methods that retrieve data from the object, without any mutator logic whatsoever. Many classes in the .NET Common Type System are immutable: System.String, System. Drawing.Font, etc. In addition, care should be taken that any values returned from property accessors, etc. are immutable as well. Otherwise, this data may be copied to insure the integrity of the object itself. Example 11 shows the performance benefit of immutable objects over synchronization.

Data Copying
This flies in the face of the advice given earlier, to minimize the use of objects. However, it's really the other side of the coin from immutable objects. Object copying allows you to use the data in a non-immutable object, but in a way that still completely avoids synchronization. The more highly multithreaded the environment, the more strategies like this make sense.

Read-Write Locks
Synchronization issues in managed code mirror those in databases. In some situations, optimistic concurrency strategies can be used; in some dirty reads are acceptable, etc. For situations in which a structure is seldom updated and often read, the ReaderWriterLock class can give significant performance benefits over simple synchronization. It allows either multiple read access or single write access at once. Example 12 compares ReaderWriterLock to simple synchronization in a read-heavy scenario.

Minimizing Synchronized Blocks
The use of the [MethodImpl Attribute(MethodImplOptions.Synchronized)]attribute should be avoided, as it always locks an entire method and is also non-standard C# usage. Instead, the lock keyword or one of the System.Threading classes should be used. Wherever possible, adjust the start of a synchronized section forward and the end backward. Do whatever you can to decrease the number of synchronized operations.

Suggested Reading

  • Lidin, Serge. (2002). Inside Microsoft .NET IL Assembler: Microsoft Press.
  • Archer, Tom, and Whitechapel, Andrew. (2002). Inside C#, Second Edition. Microsoft Press.
  • Rico Mariani's Weblog:
  • Garbage Collector Basics and Performance Hints: dotnetgcbasics.asp
  • Improving .NET Application Performance and Scalability: scalenet.asp
  • An Introduction to C# Generics: csharp_generics.asp
  • WikiWikiWeb:
  • More Stories By Jeff Varszegi

    Jeff Varszegi is a programmer/analyst with YBP Library Services ( He is an MCSD .NET Early Achiever and MCDBA with seven years of experience in programming object-oriented
    technologies, including .NET and Java. His special interests include data and process modeling,
    design patterns, and application architecture.

    Comments (8) View Comments

    Share your thoughts on this story.

    Add your comment
    You must be signed in to add a comment. Sign-in | Register

    In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.

    Most Recent Comments
    Jon von Gillern 05/23/08 11:33:25 AM EDT

    You can simplify your micro benchmarks code by using the System.Diagnostics.Stopwatch class

    Duty Editor 12/28/07 11:19:02 AM EST

    Thank you Daniel, we are contacting the plagiarist and will insist the article immediately be pulled down from his site.

    Duty Editor
    SYS-CON Media

    Daniel 12/28/07 10:11:21 AM EST

    You have been plagarized on

    Goku 09/21/07 11:56:18 AM EDT

    well written article. very useful

    Sam 02/09/06 12:27:09 PM EST

    I could not get the sample code downloaded. Please make it accesible again.

    Enrique 08/05/05 08:57:54 AM EDT

    I'm not agree with you affirmation about Collections, what happen with software architects that are building its Data Access Layers around Collections?. Can you be more specific about this affirmation?
    There are many articles on the web Custom Objects vs. DataSet Objects giving a partial victory to Collections based Custom Objects (including performance)

    Mikalai 12/18/04 10:38:13 PM EST

    One better use threads. It forces you to THINK using threads, be comfortable with them. The is a HUMAN bottleneck, which is we think in single thread only. And if you write many threads, you excercise what is missing, becaming more valuable programmer. By the way, soon will have multicore processors. Unfortunately, there is tooo much of single thread programs, that will NOT take advantage of great new technologies!

    Mikalai 12/18/04 10:25:20 PM EST

    As an example of a place where early optimization is OK you take task where optimization is on the Priority List, which means you should take care of it IF you do eXtreme programming. Article is fine, its just this preambule is false. XP is about doing what you HAVE to do. Like many other agile techniques.

    @ThingsExpo Stories
    Organizations already struggle with the simple collection of data resulting from the proliferation of IoT, lacking the right infrastructure to manage it. They can't only rely on the cloud to collect and utilize this data because many applications still require dedicated infrastructure for security, redundancy, performance, etc. In his session at 17th Cloud Expo, Emil Sayegh, CEO of Codero Hosting, will discuss how in order to resolve the inherent issues, companies need to combine dedicated and cloud solutions through hybrid hosting – a sustainable solution for the data required to manage I...
    Clearly the way forward is to move to cloud be it bare metal, VMs or containers. One aspect of the current public clouds that is slowing this cloud migration is cloud lock-in. Every cloud vendor is trying to make it very difficult to move out once a customer has chosen their cloud. In his session at 17th Cloud Expo, Naveen Nimmu, CEO of Clouber, Inc., will advocate that making the inter-cloud migration as simple as changing airlines would help the entire industry to quickly adopt the cloud without worrying about any lock-in fears. In fact by having standard APIs for IaaS would help PaaS expl...
    Apps and devices shouldn't stop working when there's limited or no network connectivity. Learn how to bring data stored in a cloud database to the edge of the network (and back again) whenever an Internet connection is available. In his session at 17th Cloud Expo, Bradley Holt, Developer Advocate at IBM Cloud Data Services, will demonstrate techniques for replicating cloud databases with devices in order to build offline-first mobile or Internet of Things (IoT) apps that can provide a better, faster user experience, both offline and online. The focus of this talk will be on IBM Cloudant, Apa...
    SYS-CON Events announced today that Cloud Raxak has been named “Media & Session Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Raxak Protect automates security compliance across private and public clouds. Using the SaaS tool or managed service, developers can deploy cloud apps quickly, cost-effectively, and without error.
    SYS-CON Events announced today that ProfitBricks, the provider of painless cloud infrastructure, will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. ProfitBricks is the IaaS provider that offers a painless cloud experience for all IT users, with no learning curve. ProfitBricks boasts flexible cloud servers and networking, an integrated Data Center Designer tool for visual control over the cloud and the best price/performance value available. ProfitBricks was named one of the coolest Clo...
    SYS-CON Events announced today that IBM Cloud Data Services has been named “Bronze Sponsor” of SYS-CON's 17th Cloud Expo, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. IBM Cloud Data Services offers a portfolio of integrated, best-of-breed cloud data services for developers focused on mobile computing and analytics use cases.
    Mobile messaging has been a popular communication channel for more than 20 years. Finnish engineer Matti Makkonen invented the idea for SMS (Short Message Service) in 1984, making his vision a reality on December 3, 1992 by sending the first message ("Happy Christmas") from a PC to a cell phone. Since then, the technology has evolved immensely, from both a technology standpoint, and in our everyday uses for it. Originally used for person-to-person (P2P) communication, i.e., Sally sends a text message to Betty – mobile messaging now offers tremendous value to businesses for customer and empl...
    Learn how IoT, cloud, social networks and last but not least, humans, can be integrated into a seamless integration of cooperative organisms both cybernetic and biological. This has been enabled by recent advances in IoT device capabilities, messaging frameworks, presence and collaboration services, where devices can share information and make independent and human assisted decisions based upon social status from other entities. In his session at @ThingsExpo, Michael Heydt, founder of Seamless Thingies, will discuss and demonstrate how devices and humans can be integrated from a simple clust...
    Who are you? How do you introduce yourself? Do you use a name, or do you greet a friend by the last four digits of his social security number? Assuming you don’t, why are we content to associate our identity with 10 random digits assigned by our phone company? Identity is an issue that affects everyone, but as individuals we don’t spend a lot of time thinking about it. In his session at @ThingsExpo, Ben Klang, Founder & President of Mojo Lingo, will discuss the impact of technology on identity. Should we federate, or not? How should identity be secured? Who owns the identity? How is identity ...
    You have your devices and your data, but what about the rest of your Internet of Things story? Two popular classes of technologies that nicely handle the Big Data analytics for Internet of Things are Apache Hadoop and NoSQL. Hadoop is designed for parallelizing analytical work across many servers and is ideal for the massive data volumes you create with IoT devices. NoSQL databases such as Apache HBase are ideal for storing and retrieving IoT data as “time series data.”
    SYS-CON Events announced today that HPM Networks will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. For 20 years, HPM Networks has been integrating technology solutions that solve complex business challenges. HPM Networks has designed solutions for both SMB and enterprise customers throughout the San Francisco Bay Area.
    The broad selection of hardware, the rapid evolution of operating systems and the time-to-market for mobile apps has been so rapid that new challenges for developers and engineers arise every day. Security, testing, hosting, and other metrics have to be considered through the process. In his session at Big Data Expo, Walter Maguire, Chief Field Technologist, HP Big Data Group, at Hewlett-Packard, will discuss the challenges faced by developers and a composite Big Data applications builder, focusing on how to help solve the problems that developers are continuously battling.
    As enterprises capture more and more data of all types – structured, semi-structured, and unstructured – data discovery requirements for business intelligence (BI), Big Data, and predictive analytics initiatives grow more complex. A company’s ability to become data-driven and compete on analytics depends on the speed with which it can provision their analytics applications with all relevant information. The task of finding data has traditionally resided with IT, but now organizations increasingly turn towards data source discovery tools to find the right data, in context, for business users, d...
    SYS-CON Events announced today that MobiDev, a software development company, will exhibit at the 17th International Cloud Expo®, which will take place November 3-5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. MobiDev is a software development company with representative offices in Atlanta (US), Sheffield (UK) and Würzburg (Germany); and development centers in Ukraine. Since 2009 it has grown from a small group of passionate engineers and business managers to a full-scale mobile software company with over 150 developers, designers, quality assurance engineers, project manage...
    “The Internet of Things transforms the way organizations leverage machine data and gain insights from it,” noted Splunk’s CTO Snehal Antani, as Splunk announced accelerated momentum in Industrial Data and the IoT. The trend is driven by Splunk’s continued investment in its products and partner ecosystem as well as the creativity of customers and the flexibility to deploy Splunk IoT solutions as software, cloud services or in a hybrid environment. Customers are using Splunk® solutions to collect and correlate data from control systems, sensors, mobile devices and IT systems for a variety of Ind...
    SYS-CON Events announced today that Solgeniakhela will exhibit at SYS-CON's 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Solgeniakhela is the global market leader in Cloud Collaboration and Cloud Infrastructure software solutions. Designed to “Bridge the Gap” between Personal and Professional Social, Mobile and Cloud user experiences, our solutions help large and medium-sized organizations dramatically improve productivity, reduce collaboration costs, and increase the overall enterprise value by bringing ...
    Sensors and effectors of IoT are solving problems in new ways, but small businesses have been slow to join the quantified world. They’ll need information from IoT using applications as varied as the businesses themselves. In his session at @ThingsExpo, Roger Meike, Distinguished Engineer, Director of Technology Innovation at Intuit, will show how IoT manufacturers can use open standards, public APIs and custom apps to enable the Quantified Small Business. He will use a Raspberry Pi to connect sensors to web services, and cloud integration to connect accounting and data, providing a Bluetooth...
    SYS-CON Events announced today that Micron Technology, Inc., a global leader in advanced semiconductor systems, will exhibit at the 17th International Cloud Expo®, which will take place on November 3–5, 2015, at the Santa Clara Convention Center in Santa Clara, CA. Micron’s broad portfolio of high-performance memory technologies – including DRAM, NAND and NOR Flash – is the basis for solid state drives, modules, multichip packages and other system solutions. Backed by more than 35 years of technology leadership, Micron's memory solutions enable the world's most innovative computing, consumer,...
    Nowadays, a large number of sensors and devices are connected to the network. Leading-edge IoT technologies integrate various types of sensor data to create a new value for several business decision scenarios. The transparent cloud is a model of a new IoT emergence service platform. Many service providers store and access various types of sensor data in order to create and find out new business values by integrating such data.
    SYS-CON Media announced that Splunk, a provider of the leading software platform for real-time Operational Intelligence, has launched an ad campaign on Big Data Journal. Splunk software and cloud services enable organizations to search, monitor, analyze and visualize machine-generated big data coming from websites, applications, servers, networks, sensors and mobile devices. The ads focus on delivering ROI - how improved uptime delivered $6M in annual ROI, improving customer operations by mining large volumes of unstructured data, and how data tracking delivers uptime when it matters most.