Click here to close now.


Java IoT Authors: Victoria Livschitz, Liz McMillan, Pat Romanski, Stephen Baker, Lori MacVittie

Related Topics: Java IoT

Java IoT: Article

Multiple Inheritance in Java

Multiple Inheritance in Java

When Sun was designing Java, it omitted multiple inheritance - or more precisely multiple implementation inheritance - on purpose. Yet multiple inheritance can be useful, particularly when the potential ancestors of a class have orthogonal concerns. This article presents a utility class that not only allows multiple inheritance to be simulated, but also has other far-reaching applications.

Have you ever found yourself wanting to write something similar to:

public class Employee extends Person, Employment {
// detail omitted

Here, Person is a concrete class that represents a person, while Employment is another concrete class that represents the details of a person who is employed. If you could only put them together, you would have everything necessary to define and implement an Employee class. Except in Java - you can't. Inheriting implementation from more than one superclass - multiple implementation inheritance - is not a feature of the language. Java allows a class to have a single superclass and no more.

On the other hand, a class can implement multiple interfaces. In other words, Java supports multiple interface inheritance. Suppose the PersonLike interface is:

public interface PersonLike {
String getName();
int getAge();

and the EmployeeLike interface is:

public interface EmployeeLike {
float getSalary();
java.util.Date getHireDate();

This is shown in Figure 1.

If Person implements the Person-Like interface, and Employment implements an EmployeeLike interface, it's perfectly acceptable to write:

public class Employee implements PersonLike, EmployeeLike {
// detail omitted

Here there is no explicit superclass. Since we are allowed to specify at most one superclass, we could also write:

public class Employee extends Person implements PersonLike, EmployeeLike {
// detail omitted

We would need to write the implementation of EmployeeLike, but the implementation of PersonLike is taken care of through the Person superclass. Alternatively we might write:

public class Employee extends Employment implements PersonLike, EmployeeLike{
// detail omitted

This is the opposite situation: the EmployeeLike interface is taken care of through the Employment superclass, but we do need to write an implementation for PersonLike.

Java does not support multiple implementation inheritance, but does support multiple interface inheritance. When you read or overhear someone remark that Java does not support multiple inheritance, what is actually meant is that it does not support multiple implementation inheritance.

Stay Adaptable
Suppose then that you have the concrete implementations Person, which implements the PersonLike interface, and Employment, which implements the EmployeeLike interface. Although only one can be selected to be the superclass, it would be useful to somehow exploit the other implementation.

The easiest way to do this in Java is by applying the (Object) Adapter pattern. If we make Person the superclass, we can use Employment using an object adapter held within the employee:

public class Employee extends Person implements PersonLike, EmployeeLike {
private EmployeeLike employment = new
public float getSalary() { return
employment.getSalary(); }
public java.util.Date getHireDate() { return employment.getHireDate(); }

For each method of EmployeeLike, the employee delegates to the object adapter. This helps motivate the decision as to whether Person or Employment should be the superclass; choose the one with the most methods as the superclass so there will be less manual delegation code to write when dealing with the other interface.

The Adapter pattern is a fine way to support multiple interface inheritance while exploiting two concrete implementations. Indeed, it's more often the case that an anonymous inner class is used as the object adapter, allowing customization of behavior with respect to the context (of being embedded within a subclass).

However, writing that delegation code is tedious, especially if both interfaces to be implemented have many methods in them. In many cases, we can get Java to do the delegation to the would-be superclass(es) automatically.

Enter Dynamic Proxies
Dynamic proxies were introduced into Java in J2SE v1.3. Part of the java.lang.reflect package, they allow Java to synthesize a class at runtime. The methods supported by this synthesized class are specified by the interface (or interfaces) that it implements. The implementation is taken care of through an invocation handler (java.lang.reflect.InvocationHandler) that is handed an object representing the method being invoked (java.lang. reflect.Method). As you can see, dynamic proxies use heavy doses of the Java Reflection API.

This then is the key to simulating multiple implementation inheritance within Java. We can write a custom InvocationHandler that is constructed with a set of classes; these represent the superclasses of the subclass to be synthesized. The interface(s) of our subclass will be the union of the interfaces implemented by these superclasses. Our InvocationHandler will instantiate instances of these superclasses so that it can delegate to them. We then arrange it so that the invocation handler, on being given a method to be invoked, will reflectively invoke the method on the appropriate superclass object instance. (There must be one; remember the subclass's interface is derived from the superclass's, so at least one superclass must be able to handle the method invocation.)

To make things simple, we can make our InvocationHandler implementation also return the proxy. In other words, the invocation handler can act as a factory, able to return instance(s) of the synthesized subclass that will delegate to the superclass instances. We call our invocation handler implementation DelegatorFactory for this reason:

// imports omitted
public final class DelegatorFactory
implements InvocationHandler {
public Object getObject() {
return Proxy.newProxyInstance(
// code omitted

The supported interfaces of the resultant object are derived from the superclasses provided in the DelegatorFactory's constructor:

// imports omitted
public final class DelegatorFactory implements InvocationHandler {
public DelegatorFactory(final Class[]
ancestors) {
// implementation omitted
// code omitted

There is more to DelegatorFactory as we shall soon see, but we now have enough to simulate multiple implementation inheritance. Going back to the question first posed, instead of:

public class Employee extends Person, Employment {
// detail omitted

followed (presumably) by:

Employee employee = new Employee();

We can instead write:

Object employee =
new DelgatorFactory(
new Class[] {

Although the syntax is somewhat different, the same essential information is being provided. That is, the concrete implementations are provided in Person and in Employment. This object will use the implementation of Person if invoked as a PersonLike, and the implementation of Employment if invoked as an EmployeeLike:


How Convenient
In the above example, the casts are necessary because the getObject() method of DelegatorFactory can only return a reference of type java.lang.Object. But the clunkiness arises because our original aim of defining the Employee class with two concrete superclasses actually does something else as well:

public class Employee extends Person, Employment {
// detail omitted

Not only does this indicate that the implementation of Employee should be based on that of its superclasses, it also defines Employee as a type. In other words, it's then possible to write:

Employee employee;

What is missing in our dynamic proxy solution is this definition of type. Let's first do that in the usual way. As shown in Figure 2, we don't need to use a class though; an interface is sufficient.

As code, this is simply:

public interface Employee extends PersonLike, EmployeeLike { }

There is no detail omitted here; this is our complete definition. Note that Employee is now an interface and not a class. The following will not work, however:

Employee employee =
new DelegatorFactory(
new Class[] {

This is because the only interfaces implemented by the dynamic proxy returned by getObject() are PersonLike and EmployableLike. No matter that logically the Employee interface does not require any additional implementation from our dynamically created object; Employee is not an interface that we can cast to. However, DelegatorFactory does provide an alternative constructor:

Employee employee =
new DelegatorFactory(
new Class[] {

Note the new second argument (Employee.class) to the constructor. Casting the object returned from getObject() to Employee will now work. Behind the scenes, the Delegator- Factory simply adds this interface to the set of those to be implemented by the dynamic proxy. Note that Delegator Factory takes this interface object on trust: there is no validation that the interface doesn't introduce any new methods that are not already present in the interfaces of the superclasses.

Initializing the Superclasses
In "regular" Java, if a superclass does not provide a no-arg constructor, it's necessary for the subclass to correctly initialize the superclass using constructor chaining. Normally this is done by including the superclass's constructor's argument(s) in the subclass's constructor's argument(s), and then passing them up the class hierarchy using super().

The facilities shown in Delegator-Factory thus far do not support this. The DelegatorFactory is given a list of superclasses, and then instantiates an instance of each (to delegate to) using java.lang.Class.newInstance(). This requires a public no-arg constructor to exist.

If the would-be superclass does not offer a public no-arg constructor, the DelegatorFactory should be instantiated using a different constructor that takes preinstantiated superclass instances:

Person person = new Person("joe", 28);
Employment employment =
new Employment(someCalendar.getTime(),
Employee employee =
new DelegatorFactory(
new Object[] {
person, employment

If the would-be superclass does not have a public constructor, or is abstract, a custom subclass (probably an anonymous inner class) should be instantiated and used instead.

Dealing with Diamonds
Typically, multiple implementation inheritance is used when the superclasses have orthogonal concerns. Certainly this is the case with PersonLike and EmployeeLike, and each method is unambiguous as to which ancestor it relates to.

However, sometimes there may be a common super-interface in the interfaces implemented by the "superclasses." For example, suppose we have the concrete class, Car, which implements Driveable, the Boat class, which implements Sailable, and both Driveable and Sailable extend from Steerable. Since we want to use both Car and Boat to define a new subclass, we will also introduce a convenience interface, AmphibiousCar (see Figure 3).

The steer() method of Steerable is used to alter the bearing (0 to 359 degrees) of the steerable object. The getBearing() method, of course, should return this bearing.

For simplicity, the drive() method of Driveable and the sail() method of Sailable return a suitable string indicating the current bearing. Invoking drive() might return a string such as:

driving at bearing 30 degrees.

From what we currently know, we would create an amphibious car object using:

AmphibiousCar ac =
new DelegatorFactory(
Class[] {
Car.class, Boat.class

What happens if we invoke the steer() method on our new amphibious car ac? Should the invocation handler delegate to the Car superclass object or the Boat? The default behavior is to delegate to the first matching object. Hence, we will get:

// prints "driving at bearing 30 degrees"
// prints "sailing at bearing 0 degrees"

The Boat superclass component of our class never knew that the bearing had changed.

It's this kind of problem that persuaded the Java language designers to exclude multiple implementation inheritance. This is too large an area to cover in this article, but what we have here is an example of part of the so-called "diamond" problem, where there is a common ancestor. You can see the diamond in the interfaces: Steerable, Driveable, Sailable, and Amphibious-Car.

The DelegatorFactory utility deals with the diamond problem by allowing you to specify the invocation behavior to the delegate superclasses as a pluggable strategy (an example of the Strategy pattern). The strategy is defined by the InvocationStrategy interface. The default strategy (InvokeFirstOnlyStrategy) is to invoke the first ancestor superclass that can handle the method. However, in the case of the diamond, what is required is that both ancestors need to handle the method. The InvokeAllStrategy handles this. If the method being invoked has a nonvoid return type, the return value from the first ancestor is returned. The two strategies are shown in Figure 4.

The invocation strategy can either be set after the DelegatorFactory has been instantiated, or can be set through (yet another) overloaded constructor. Hence our amphibious car should be created using:

AmphibiousCar ac =
new DelegatorFactory(
Class[] {
Car.class, Boat.class
new InvokeAllStrategy()

This time, we get:

// prints "driving at bearing 30 degrees"
// prints "sailing at bearing 30 degrees"

The InvokeFirstOnlyStrategy and InvokeAllStrategy are not the only strategies available (indeed we shall see one more shortly); however, they should work for most situations.

If a custom invocation strategy is required, it can be written by implementing the InvocationStrategy interface:

public interface InvocationStrategy {
Object invoke(final List ancestors,
final Method method,
final Object[] args)
throws Throwable

The ancestors parameter is an immutable list of the object instances representing the superclass. The method parameter represents the Method being invoked, and the args parameter contains the arguments to that Method. A typical invocation strategy would likely call method.invoke(S) somewhere within its implementation, with the first argument (the object upon which to invoke the method) being one of the ancestors.

We shall look at some applications of custom invocation strategies shortly. For now, though, an adaptation of InvokeAllStrategy might be to return the average return value of all ancestors, not just the return value of the first one.

Implicit Diamonds
In the previous diamond example, the Steerable interface is explicitly a super-interface of both Driveable and Sailable. What if the super-interface has not been explicitly factored out, though?

For example, in the original PersonLike and EmployeeLike example, what if each provided a foo() method, returning a string. Not imaginative, but never mind. Let's construct our employee and use an InvokeAllStrategy:

Employee employee = (Employee)
new DelegatorFactory(new Class[]{Person.class, Employment.class},
new InvokeAllStrategy())

Now let us invoke foo():; // what will happen?

Should the Person's implementation be called, that of Employment, or both? Although you might wish that both would be called (by virtue of our installed strategy), the sad truth is that only Person's implementation would be called. This is because the dynamic proxy has no way of knowing which interface to match foo() to, so it simply matches it to the first interface listed. (It's a java.lang.reflect.Method that is passed to the DelegatorFactory, not the string literal "foo()". Methods are associated with a specific declaring class/interface.) In terms of the DelegatorFactory's implementation, this means the first superclass listed in its constructor.

Note also that the compile time type does not matter. Neither of the following will change the outcome:

((PersonLike)employee).foo(); ((EmployeeLike)employee).foo();

In fact, it would be possible to modify DelegatorFactory to make Invoke-AllStrategy effective in this case, but that would involve parsing on the Method.getName() rather than the method. However, this has deliberately not been done. We'd rather you factored out the super-interface and made the diamond explicit. In the above example, add a FooLike (or Fooable) interface and make both PersonLike and EmployLike extend from it.

Other Applications
The issue raised by diamonds (implicit or otherwise) is that of how to deal with more than one implementation of a given method within an interface. However, it's interesting to turn this on its head.

In aircraft and other safety-critical environments, it's common to implement subsystems in triplicate. For example, there may be three different navigational systems, possibly with each implemented by different subcontractors. Each of these would be able to respond to the request, "Where is the location of the aircraft?"

Other systems within the aircraft interact with the navigational subsystem through a broker. This accepts the request on behalf of the navigational subsystem, and then forwards the request onto each implementation. Assuming there are no bugs in any of those implementations, they should all respond with the same data (within some delta of acceptable variance).

If there is a bug in one of the implementations, it may produce a response that differs wildly from the other two implementations. In this case, the broker disregards that response completely and uses the responses of the other implementations that agree with each other.

The design of DelegatorFactory and its pluggable invocation strategies make it easy to implement such a broker. Imagine a Calculator interface that defines a single method add(int, int):int. We can then have three implementations of this interface, as shown in Figure 5.

The FastCalculator uses regular integer arithmetic. The OneByOne- Calculator rather long-windedly performs its arithmetic by incrementing the first operand one-by-one in a loop. Both of these implementations are correct, just different. The final BrokenCalculator is just that; it actually performs a subtraction, not an addition.

The InvokeSafelyStrategy invocation strategy requires at least three ancestors that implement each method invoked. It will invoke the method on all ancestors, and then look to see that there is precisely one response that is most popular. Here is how to create a safe calculator that will ignore the incorrect implementation within the BrokenCalculator:

DelegatorFactory dfInvokeSafely =
new DelegatorFactory(
new Class[] {
new InvokeSafelyStrategy()
Calculator safeCalculator =
assertEquals(7, safeCalculator.add(3,4));

Note that the InvokeSafelyStrategy is not all that intelligent. It stores the return values from each ancestor within a HashSet, so it relies on an accurate implementation of equals() and hashCode(). If the actual return type were a float (wrapped within a Float object), a more sophisticated invocation strategy would most likely be required. In general, this strategy will work only with well-defined value objects that can intrinsically deal with any rounding and other such errors.

You could easily adapt or refine the InvokeSafelyStrategy into further strategies. For example:

  • A parameterized version of InvokeSafelyStrategy could be used to deal with floats and other return types that would have rounding issues.
  • A background strategy might perform each invocation within a separate thread. Any invocation that had not responded within a certain timeout would be discarded.
  • A high-performance system, on the other hand, might use a strategy that again uses a backgrounding strategy but returns the result of the first one to finish, killing off the rest.
  • A logging strategy might perform some logging and then forward the invocation (typically to a single delegate).
  • A caching strategy would check its cache with respect to the input parameter, and only if the result is unknown would it invoke the delegate (caching the subsequent result).
  • A listener/broadcast strategy could represent a collection of listener objects; notifying all listeners of an event would require notifying only the broadcaster, which would then iterate over all listener objects as required.

    Moreover, there is nothing to prevent multiple invocations from being chained together, (that is, the Decorator pattern). Alternatively, we could imagine a composite strategy (the Composite pattern) that combines a set of strategies together. Either the invocation chain (decorator) or the set of leaf strategies (composite) could be changed at runtime, meaning that we can change the behavior and responsibilities of the object dynamically. This is a fundamentally different paradigm from conventional Java with its static typing. Normally, it's the type/class of the object that determines its behavior, something that cannot be changed once the object is instantiated. Here, though, we have ended up configuring the behavior of objects on an instance-by-instance basis: so-called instance-based programming. In effect, the whole notion of type becomes much less important.

    There are echoes here too of aspect-oriented programming. Most aspect-oriented programming uses compile-time techniques (the term used is "weaving") to add in behavior to classes. The classic example of aspect-oriented programming is to add logging within all method calls. You can easily see, though, that these same features can be incorporated dynamically using invocation strategies; the decorator/composite invocation strategies would allow an arbitrary set of aspects to be added to a class. The difference though is that now the aspects are applied at runtime (and hence can be changed without recompile and redeployment).

    The DelegatorFactory is simple to use, supporting classic mix-in (orthogonal) multiple-implementation inheritance "out-of-the-box" and - with its pluggable invocation strategy design - allows diamond hierarchies to be easily supported. Moreover, the design also lends itself to other quite unrelated problem spaces; for example, creating safe systems was explored. Taken to its logical conclusion, the approach supports both instance-based programming and aspect-oriented programming.

    Of course, what makes DelegatorFactory work is Java's support for dynamic proxies, and that in turn requires that the ancestor superclasses implement interfaces. This approach won't work for class-based designs (JDOM is an example that comes to mind). But arguably class-based designs should be used only for value objects that should be final anyway. Those situations where multiple inheritance is desired are more likely to occur when working with reference objects.

    One particular case deliberately not supported by DelegatorFactory is when there is a so-called implicit diamond. The solution though is to pull out the methods that appear in both interfaces, and move them into a new super-interface. Then, make sure you use InvokeAllStrategy rather than the default InvokeFirstOnlyStrategy.

    Of course, using a dynamic proxy object will be slower than a hand-crafted solution, principally because reflection is used. However, the difference may not be noticeable in practice. In recent releases of Java, Sun has put much effort in speeding up reflective invocation; as of JDK 1.4.1, it may well be that regular invocation is only twice as fast as reflective invocation (previously this figure was something like 40 times faster).

    Using DelegatorFactory
    The DelegatorFactory utility class and supporting classes described here can be downloaded from, and are compilable using Ant (v1.5.1 was used to create the build file). A JUnit-based test harness is also provided; JUnit v3.8.1 is required. The motivating examples in this article are based on the JUnit tests, so they should be easy enough to follow.

    To run the tests with JUnit's text-based test runner, use:

    ant test

    Alternatively, you can use JUnit's test runner by running directly:

    ant rebuild
    java -classpath
    com.halware.util.dynamic.test.AllTests gui

    (The GUI test runner is not the default since JUnit's classloaders do not understand the Class-Path manifest attribute.)

    I hope you find DelegatorFactory useful. It has been distributed under the GNU Lesser Public License, so you are free to embed it within your own software as required.

    The inspiration for this article came from a session presented by Benedict Heal at the Object Technology Conference OT2002, run by the British Computer Society and the IEE. See Thanks, Benedict, for your further review comments on the draft of this article.

    The UML class diagrams were created directly from the Java source code using Together ControlCenter, see

  • Comments (3) 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
    piotr 05/26/08 06:22:59 AM EDT

    Where can I find the right link to source code in order to download it? The one mentioned in the article does not work.

    Greg Bishop 05/10/04 10:10:03 AM EDT

    This is NOT a simple pattern to implement! Like most attempts to escape the language this is overly complicated. The lack of multiple inheritence is a blessing not a curse, and it should be embraced. In a decade of using Java I have only one time encountered need for multiple inheritance, and a tiny bit of typing allowed me to use interfaces to eliminate the problem.

    Composition will solve most of these problems.

    People should pull out things like the reflection API as a last resort, and should be prepared to resign the next day. An unmaintainable nightmare, I can only thank god that most developers are not sophisticated enough to build a horrific spiderweb like the design suggested in this article.

    giridhar 10/07/03 10:24:01 PM EDT
    @ThingsExpo Stories
    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...
    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 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.