Conventional data serialization tools assume that objects to be coded are usually small in
size so a single CPU core can encode it in a timely manner. In the era of Big Data, however …

Data serialization is a common and crucial component in high performance computing. In
this paper, I present a C++ 11 based serialization library for performance critical systems. It …

Object serialization and deserialization (S/D) is an essential feature for efficient
communication between distributed computing nodes with potentially non-uniform execution …

Distributed systems rely on efficient inter-service communication, heavily impacted by data
transmission costs. This study investigates alternative serialization formats, like Avro and …

The current technologies used for message communication over a network, will begin to be
inefficient as the diversity of the hardware and the need to transfer more information in less …

Microsecond I/O will make data serialization a major bottleneck for datacenter applications.
Serialization is fundamentally about data movement: serialization libraries coalesce and …

As a well established, large-scale distributed storage system, dCache is used to manage
and serve huge amounts of data collected by high energy physics, astrophysics and photon …

As a well established, large-scale distributed storage system, dCache is used to manage
and serve huge amounts of data collected by high energy physics, astrophysics and photon …

Microservices Architecture is becoming an prominent standard when it comes to designing
high-level architecture of complex applications. Each microservice addresses one small part …

We explored the current state of Python serialization in the context of distributed computing.
The challenging points addressed are: object-type support, speed and size, version …