Introduction Serialization of structured data is a key step to transmit information over networks or to store data because is a very cpu-intensive task. Actually, in many communication scenarios the bottleneck is the data serialization and deserialization. Hp Smart Update Manager Isotope here. Developing a Serialization mechanism involves the design of a neutral format, platform independent, to allow data interchange over heterogeneous distributed systems. Hp Quality Center Tutorial 10.0 Pdf there. Middleware alternatives based on verbose serialization formats such as XML or JSON, used in Web Services and REST, expose very poor performance. The emergence of cloud computing and service integration in large distributed systems is driving companies and developers to consider again fast binary formats and lightweight Remote Procedure Call (RPC) frameworks.

We compared Apache Thrift vs Protocol Buffers vs Fast Buffers. Is an alternative developed by Google and designed to be smaller and faster than XML. Protocol Buffers is the basis for a custom RPC engine used in nearly all inter-machine communication at Google. Is an RPC framework developed at Facebook aiming “scalable cross-language services development”. Facebook uses Apache Thrift internally for service composition.

Is our alternative, an open source serialization engine optimized for performance and based on CDR (Common Data Representation), a standard serialization format from the OMG (Object Management Group). Byterun Builder For Php Crackle. These 3 alternatives generate serialization and deserialization code from the data structure definition. The developer should define his data structures using an Interface Definition Language (IDL) in a file and a tool parses this file to generate the serialization and deserialization code. We will consider also a variation of eProsima Fast Buffers, our.