Over the last ten years, there have been three major revisions of ADE:
- ADE V1 was developed in 1998, and was a minimal system designed to facilitate experiments with message-based computing. In this version, ADE was hosted as a library that ran on Mac OS.
- ADE V2 was a result of continued improvements over the next two years, and included a pure message-based execution model and the ability to run directly on a processor without requiring a host operating system.
- ADE V3 was created specifically for the Bycast StorageGRID platform during 2000 through 2004, and has been tuned to provide high levels of performance while retaining most of the advantages of the ADE approach to distributed computing. In this version, ADE was updated to use an Operating System abstraction layer, allowing it to run on a wide variety of UNIX-like and embedded operating systems.
When ADE first starts, there are no processes present and no messages being sent. When in this state, there are no processes to send a message to, and there are no processes that could send a message. Thus, in order to transition the system into an executing state, we must "bootstrap" the system to the point where there is at least one process executing.
Given that ADE processes are just messages, when I refer to a message as a process, I'm referring to a message that contains executable code as part of the message contents. And since messages are just self-describing data structures (known as "containers"), a message can be serialized to disk. As messages are created, manipulated and exchanged in serialized form, one of the key design criteria of the container data format was highly efficient serialization.
We use this property to bootstrap the system. Once the ADE kernel is running, we load an (initially hand-created) message into memory. This message contains executable code for our bootstrap process, as well as the state for the process.
Figure 1: An executable message (Capability ID 100)
Loading this message into memory involves the following steps:
- An entry is added to an in-memory database, keyed by the message capability. The message capability is a randomly assigned 128 bit identifier assigned by the system that uniquely identifies the message.
- The kernel creates a protected memory space for the message. This memory space provides the execution context.
- The serialized message is loaded into this memory space.
Figure 2: A message destined to CID 100
This is read as, "Message CID 200, from CID 0, to CID 100, invokes /create".
When this second message is loaded into memory, the presence of the destination capability identifier field triggers the message to be added to a scheduler queue for delivery to the specified destination capability. The ADE kernel sees this scheduler entry, and moves the triggering message into the memory space of the destination message, where it becomes part of the destination message. The scheduler then switches to the context of the destination message, and executes the code indicated by the triggering message. As this executable code has access to the message contents, it can now inspect the contents of the triggering message, and manipulate its own message state.
Figure 3: Message CID 100, after receiving message CID 200.
In our example, message CID 100 then executes the "create" method, and the executable code in the create method creates and sends a new message to itself (which is the only possible destination, and the only destination known to the process), invoking the "destroy" method. The final step in the "create" method is to clean up the contents of triggering message from the process message state.
Figure 4: Message CID 100, with message CID 300 about to be sent.
This newly sent message in turn gets enqueued by the scheduler, then processed, causing the "destroy" method to be invoked by the destination process. This executable code for the "destroy" method removes the entire state of the message, which then results in the message itself being removed (and the entry being removed from the in-memory database), returning us to our original pre-bootstrap state.
This process model, of sending messages to other messages, executing code in destination messages, manipulating the state of the destination messages, and creating new messages, allows full computational capabilities, and provides a rich foundation for the creation of many advanced distributed computing models.
In our next ADE post, we'll examine some of the design patterns and capabilities that emerge as a result of this process model.