23,296 research outputs found
Trade-Offs in Distributed Interactive Proofs
The study of interactive proofs in the context of distributed network computing is a novel topic, recently introduced by Kol, Oshman, and Saxena [PODC 2018]. In the spirit of sequential interactive proofs theory, we study the power of distributed interactive proofs. This is achieved via a series of results establishing trade-offs between various parameters impacting the power of interactive proofs, including the number of interactions, the certificate size, the communication complexity, and the form of randomness used. Our results also connect distributed interactive proofs with the established field of distributed verification. In general, our results contribute to providing structure to the landscape of distributed interactive proofs
Tortoise: Interactive System Configuration Repair
System configuration languages provide powerful abstractions that simplify
managing large-scale, networked systems. Thousands of organizations now use
configuration languages, such as Puppet. However, specifications written in
configuration languages can have bugs and the shell remains the simplest way to
debug a misconfigured system. Unfortunately, it is unsafe to use the shell to
fix problems when a system configuration language is in use: a fix applied from
the shell may cause the system to drift from the state specified by the
configuration language. Thus, despite their advantages, configuration languages
force system administrators to give up the simplicity and familiarity of the
shell.
This paper presents a synthesis-based technique that allows administrators to
use configuration languages and the shell in harmony. Administrators can fix
errors using the shell and the technique automatically repairs the higher-level
specification written in the configuration language. The approach (1) produces
repairs that are consistent with the fix made using the shell; (2) produces
repairs that are maintainable by minimizing edits made to the original
specification; (3) ranks and presents multiple repairs when relevant; and (4)
supports all shells the administrator may wish to use. We implement our
technique for Puppet, a widely used system configuration language, and evaluate
it on a suite of benchmarks under 42 repair scenarios. The top-ranked repair is
selected by humans 76% of the time and the human-equivalent repair is ranked
1.31 on average.Comment: Published version in proceedings of IEEE/ACM International Conference
on Automated Software Engineering (ASE) 201
Build your own clarithmetic I: Setup and completeness
Clarithmetics are number theories based on computability logic (see
http://www.csc.villanova.edu/~japaridz/CL/ ). Formulas of these theories
represent interactive computational problems, and their "truth" is understood
as existence of an algorithmic solution. Various complexity constraints on such
solutions induce various versions of clarithmetic. The present paper introduces
a parameterized/schematic version CLA11(P1,P2,P3,P4). By tuning the three
parameters P1,P2,P3 in an essentially mechanical manner, one automatically
obtains sound and complete theories with respect to a wide range of target
tricomplexity classes, i.e. combinations of time (set by P3), space (set by P2)
and so called amplitude (set by P1) complexities. Sound in the sense that every
theorem T of the system represents an interactive number-theoretic
computational problem with a solution from the given tricomplexity class and,
furthermore, such a solution can be automatically extracted from a proof of T.
And complete in the sense that every interactive number-theoretic problem with
a solution from the given tricomplexity class is represented by some theorem of
the system. Furthermore, through tuning the 4th parameter P4, at the cost of
sacrificing recursive axiomatizability but not simplicity or elegance, the
above extensional completeness can be strengthened to intensional completeness,
according to which every formula representing a problem with a solution from
the given tricomplexity class is a theorem of the system. This article is
published in two parts. The present Part I introduces the system and proves its
completeness, while Part II is devoted to proving soundness
Onebox: Free-Text Interfaces as an Alternative to Complex Web Forms
This paper investigates the problem of translating free-text\ud
queries into key-value pairs as an alternative means for searching `behind' web forms. We introduce a novel specication language for specifying free-text interfaces, and report the results of a user study where we evaluated our prototype in a travel planner scenario. Our results show that users prefer this free-text interface over the original web form and that they are about 9% faster on average at completing their search tasks
FlashProfile: A Framework for Synthesizing Data Profiles
We address the problem of learning a syntactic profile for a collection of
strings, i.e. a set of regex-like patterns that succinctly describe the
syntactic variations in the strings. Real-world datasets, typically curated
from multiple sources, often contain data in various syntactic formats. Thus,
any data processing task is preceded by the critical step of data format
identification. However, manual inspection of data to identify the different
formats is infeasible in standard big-data scenarios.
Prior techniques are restricted to a small set of pre-defined patterns (e.g.
digits, letters, words, etc.), and provide no control over granularity of
profiles. We define syntactic profiling as a problem of clustering strings
based on syntactic similarity, followed by identifying patterns that succinctly
describe each cluster. We present a technique for synthesizing such profiles
over a given language of patterns, that also allows for interactive refinement
by requesting a desired number of clusters.
Using a state-of-the-art inductive synthesis framework, PROSE, we have
implemented our technique as FlashProfile. Across tasks over large
real datasets, we observe a median profiling time of only s.
Furthermore, we show that access to syntactic profiles may allow for more
accurate synthesis of programs, i.e. using fewer examples, in
programming-by-example (PBE) workflows such as FlashFill.Comment: 28 pages, SPLASH (OOPSLA) 201
Automatic Deduction in Dynamic Geometry using Sage
We present a symbolic tool that provides robust algebraic methods to handle
automatic deduction tasks for a dynamic geometry construction. The main
prototype has been developed as two different worksheets for the open source
computer algebra system Sage, corresponding to two different ways of coding a
geometric construction. In one worksheet, diagrams constructed with the open
source dynamic geometry system GeoGebra are accepted. In this worksheet,
Groebner bases are used to either compute the equation of a geometric locus in
the case of a locus construction or to determine the truth of a general
geometric statement included in the GeoGebra construction as a boolean
variable. In the second worksheet, locus constructions coded using the common
file format for dynamic geometry developed by the Intergeo project are accepted
for computation. The prototype and several examples are provided for testing.
Moreover, a third Sage worksheet is presented in which a novel algorithm to
eliminate extraneous parts in symbolically computed loci has been implemented.
The algorithm, based on a recent work on the Groebner cover of parametric
systems, identifies degenerate components and extraneous adherence points in
loci, both natural byproducts of general polynomial algebraic methods. Detailed
examples are discussed.Comment: In Proceedings THedu'11, arXiv:1202.453
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