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How to Decode TLV Quickly

In TLV, the format is Tag, Length, and Value. The TLV protocol needs this type of data. Here you will know how to decode TLV data. According to IBM , TLV data is three parts. The tag tells what type of data it is. The length field denotes the length of the value. The Value-field denotes the actual value. Structure of TLV. TLV comprises three field values.  Tag Length Value EMV formulated different tags. They have their meanings. Usually, the Tag and Length together takes 1 to 4 bytes. The Best example for TLV. In the below example, you can find the sample TAG, LENGTH, and VALUE fields. [Tag][Value Length][Value] (ex. " 9F4005F000F0A001 ") where Tag Name =  9F40 Value Length (in bytes) =  05  Value (Hex representation of bytes. Example, "F0" – 1-byte) =  F000F0A001 In the above message, tag 9F40 has some meaning designed by EMV company. Here  you can find a list of EMV Tags. How to read the TLV Tag: 1 or 2 bytes Length: Length of the Value. F0-00-F0-A0-01 ==> 5 By
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Distributed Computing Recent Trends to Read Now

Distributed information systems are becoming more popular as a result of improvements in computer hardware and software, and there is a commensurate rise in the use of the associated technologies.

Why distributed computing so popular
  • Increasing desire for business-to-business (B2B) communication and integration, technologies such as Service-Oriented Computing (SOC), Semantic Web, Grid, Agents/Multi-agents, peer-to-peer, etc., are receiving a high level of interest nowadays.
  • Due to revolution in internet, implementation of SOC B2B integration (e.g. e-commerce, e-government and e-healthcare) is popular

Where lacking

  • Building Web Services comprehensively needs further improvement, for instance, Quality of Service (QoS).
  • Detection of service availability to achieve self-healing in the invocation process
  • Service reuse, how best to define atomic services
  • Service composition

Future computing

  • Meanwhile, it should be noted that Web Services play only a partial role in evolving distributed information systems. With the development of future computer hardware, software and business requirements, many other technologies will probably emerge that will serve particular business goals better. 
  • Therefore, much recent research has been focusing not only on individual technologies in distributed systems, but also on the possibility of combining currently available technologies to improve business outcomes.
We concentrate mainly on Web Services and technical issues associated with current Web Services standards, but we also give a brief overview of three other distributed technologies, namely Grid, agents and Semantic Web, which can work with Web Services. Thus, it concentrates initially on the background of services in distributed information systems, then it introduces Grid, agent and Semantic Web technologies.

Web services Vs distributed computing

After that, it discusses several technical aspects of Web Services in current distributed information systems, in particular, general Web Service availability and performance issues and the possibility of combining agent technology and Web Services to provide improved understanding of service availability. We then introduce JSON (JavaScript Object Notation), which may provide an alternative to current approaches that will deliver better Web Service Performance and discuss service composition, illustrating it with an implementation from the EU Living Human Digital Library (LHDL) project.

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