Dalam serial port, pengiriman informasi tidak memungkinkan untuk melakukan secara banyak sekalius. Hal ini disebabkan karena dalam melakukan pemindahan data, biasanya serial port bekerja seri, misalnya COM 1 dan COM 2. Untuk penggunaan port serial sekarang ini sudah berkurang. Penggunaan port serial telah tergantikan dengan port USB dan Firewire. Jenis-Jenis dan Pengertian Transmisi Dalam Komunikasi Data - Transmisi Adalah pergerakan informasi melalui sebuah media telekomunikasi. Transmisi memperhatikan pembuatan saluran yang dipakai untuk mengirim informasi, serta memastikan bahwa informasi sampai secara akurat dan dapat diandalkan.
Amazon Redshift developments and deployments
Alternatives to AWS: Microsoft, IBM and more
Cloud data warehouse terminology
Test your Amazon Redshift knowledge
BACKGROUND IMAGE: iSTOCK/GETTY IMAGES
This content is part of the Essential Guide:Cloud data warehouse guide: Using Redshift, rival platforms
MPP (massively parallel processing) is the coordinated processing of a program by multiple processor s that work on different parts of the program, with each processor using its own operating system and memory . Typically, MPP processors communicate using some messaging interface. In some implementations, up to 200 or more processors can work on the same application. An 'interconnect' arrangement of data paths allows messages to be sent between processors. Typically, the setup for MPP is more complicated, requiring thought about how to partition a common database among processors and how to assign work among the processors. An MPP system is also known as a 'loosely coupled' or 'shared nothing' system.
An MPP system is considered better than a symmetrically parallel system ( SMP ) for applications that allow a number of databases to be searched in parallel. These include decision support system and data warehouse applications.
This was last updated in January 2011
Next Steps
Which big data analytics tools takeadvantage of massively parallel processing (MPP) system configurations?
Related Terms
DRAM (dynamic random access memory)
Dynamic random access memory (DRAM) is a type of semiconductor memory that is typically used for the data or program code needed ... See complete definition
parallel processing
Parallel processing is a method in computing of running two or more processors (CPUs) to handle separate parts of an overall task. See complete definition
server virtualization
Server virtualization is a process that creates and abstracts multiple virtual instances on a single server. See complete definition
Dig Deeper on Hardware
Optimize refresh cycles by leveraging real-world data–DellEMC
Delivering the Promise of Hyperconvergence with Intel Optane Technology–Intel
Vendor Resources
Preparing a database strategy for Big Data–SearchDataManagement
What is data transmission?
Data transmission refers to the process of transferring data between two or more digital devices. Data is transmitted from one device to another in analog or digital format. Basically, data transmission enables devices or components within devices to speak to each other.
How does data transmission work between digital devices?
Data is transferred in the form of bits between two or more digital devices. There are two methods used to transmit data between digital devices: serial transmission and parallel transmission. Serial data transmission sends data bits one after another over a single channel. Parallel data transmission sends multiple data bits at the same time over multiple channels.
What is serial transmission?
When data is sent or received using serial data transmission, the data bits are organized in a specific order, since they can only be sent one after another. The order of the data bits is important as it dictates how the transmission is organized when it is received. It is viewed as a reliable data transmission method because a data bit is only sent if the previous data bit has already been received.
Serial transmission has two classifications: asynchronous and synchronous.
Asynchronous Serial Transmission Data bits can be sent at any point in time. Stop bits and start bits are used between data bytes to synchronize the transmitter and receiver and to ensure that the data is transmitted correctly. The time between sending and receiving data bits is not constant, so gaps are used to provide time between transmissions.
The advantage of using the asynchronous method is that no synchronization is required between the transmitter and receiver devices. It is also a more cost effective method. A disadvantage is that data transmission can be slower, but this is not always the case.
Synchronous Serial Transmission Data bits are transmitted as a continuous stream in time with a master clock. The data transmitter and receiver both operate using a synchronized clock frequency; therefore, start bits, stop bits, and gaps are not used. This means that data moves faster and timing errors are less frequent because the transmitter and receiver time is synced. However, data accuracy is highly dependent on timing being synced correctly between devices. In comparison with asynchronous serial transmission, this method is usually more expensive.
When is serial transmission used to send data?
Serial transmission is normally used for long-distance data transfer. It is also used in cases where the amount of data being sent is relatively small. It ensures that data integrity is maintained as it transmits the data bits in a specific order, one after another. In this way, data bits are received in-sync with one another.
What is parallel transmission?
When data is sent using parallel data transmission, multiple data bits are transmitted over multiple channels at the same time. This means that data can be sent much faster than using serial transmission methods.
Example of Parallel Data Transmission
Given that multiple bits are sent over multiple channels at the same time, the order in which a bit string is received can depend on various conditions, such as proximity to the data source, user location, and bandwidth availability. Two examples of parallel interfaces can be seen below. In the first parallel interface, the data is sent and received in the correct order. In the second parallel interface, the data is sent in the correct order, but some bits were received faster than others.
Example of Parallel Transmission – Data Received Correctly
Example of Parallel Transmission – Data Received Incorrectly
Advantages and Disadvantages of Using Parallel Data Transmission
The main advantages of parallel transmission over serial transmission are:
it is easier to program;
and data is sent faster.
Although parallel transmission can transfer data faster, it requires more transmission channels than serial transmission. This means that data bits can be out of sync, depending on transfer distance and how fast each bit loads. A simple of example of where this can be seen is with a voice over IP (VOIP) call when distortion or interference is noticeable. It can also be seen when there is skipping or interference on a video stream.
When is parallel transmission used to send data?
Parallel transmission is used when:
a large amount of data is being sent;
the data being sent is time-sensitive;
and the data needs to be sent quickly.
A scenario where parallel transmission is used to send data is video streaming. When a video is streamed to a viewer, bits need to be received quickly to prevent a video pausing or buffering. Video streaming also requires the transmission of large volumes of data. The data being sent is also time-sensitive as slow data streams result in poor viewer experience.
QUANTIL provides acceleration solutions for high-speed data transmission, live video streams, video on demand (VOD), downloadable content, and websites, including mobile websites. If you want to know more about how we deliver data, you can tweet your questions to our team at @Team_QUANTIL.