000187787 001__ 187787
000187787 005__ 20190416220718.0
000187787 037__ $$aCONF
000187787 245__ $$aInstant Pickles: Generating Object-Oriented Pickler Combinators for Fast and Extensible Serialization
000187787 269__ $$a2013
000187787 260__ $$c2013
000187787 336__ $$aConference Papers
000187787 520__ $$aAs more applications migrate to the cloud, and as “big data” edges into even more production environments, the performance and simplicity of exchanging data between compute nodes/devices is increasing in importance. An issue central to distributed programming, yet often under-considered, is serialization or pickling, i.e., persisting runtime objects by converting them into a binary or text representation. Pickler combinators are a popular approach from functional programming; their composability alleviates some of the tedium of writing pickling code by hand, but they don’t translate well to object-oriented programming due to qualities like open class hierarchies and subtyping polymorphism. Furthermore, both functional pickler combinators and popular, Java-based serialization frameworks tend to be tied to a specific pickle format, leaving programmers with no choice of how their data is persisted. In this paper, we present object-oriented pickler combinators and a framework for generating them at compile-time, called scala/pickling, designed to be the default serialization mechanism of the Scala programming language. The static generation of OO picklers enables significant performance improvements, outperforming Java and Kryo in most of our benchmarks. In addition to high performance and the need for little to no boilerplate, our framework is extensible: using the type class pattern, users can provide both (1) custom, easily interchangeable pickle formats and (2) custom picklers, to override the default behavior of the pickling framework. In benchmarks, we compare scala/pickling with other popular industrial frameworks, and present results on time, memory usage, and size when pickling/unpickling a number of data types used in real-world, large-scale distributed applications and frameworks.
000187787 6531_ $$aSerialization
000187787 6531_ $$apickling
000187787 6531_ $$ameta-programming
000187787 6531_ $$adis- tributed programming
000187787 6531_ $$aScala
000187787 700__ $$0242185$$g191683$$aMiller, Heather
000187787 700__ $$0240993$$g172057$$aHaller, Philipp
000187787 700__ $$0246182$$g214505$$aBurmako, Eugene
000187787 700__ $$0241835$$g126003$$aOdersky, Martin
000187787 7112_ $$dOctober 26-31, 2013$$cIndianapolis, Indiana, USA$$aACM SIGPLAN 2013 Conference on Object Oriented Programming, Systems, Languages and Applications (OOPSLA'13)
000187787 773__ $$tProceedings of the ACM SIGPLAN 2013 Conference on Object Oriented Programming, Systems, Languages and Applications (OOPSLA'13)
000187787 8564_ $$uhttps://infoscience.epfl.ch/record/187787/files/oopsla-pickling_1.pdf$$zn/a$$s735201$$yn/a
000187787 909C0 $$xU10409$$0252187$$pLAMP
000187787 909CO $$ooai:infoscience.tind.io:187787$$qGLOBAL_SET$$pconf$$pIC
000187787 917Z8 $$x191683
000187787 917Z8 $$x191683
000187787 937__ $$aEPFL-CONF-187787
000187787 973__ $$rNON-REVIEWED$$sPUBLISHED$$aEPFL
000187787 980__ $$aCONF