Y. Emek, Christoph Pfister, J. Seidel, Roger Wattenhofer
This paper considers the computational power of anonymous message passing algorithms (henceforth, anonymous algorithms), i.e., distributed algorithms operating in a network of unidentified nodes. We prove that every problem that can be solved (and verified) by a randomized anonymous algorithm can also be solved by a deterministic anonymous algorithm provided that the latter is equipped with a 2-hop coloring of the input graph. Since the problem of 2-hop coloring a given graph (i.e., ensuring that two nodes with distance at most 2 have different colors) can by itself be solved by a randomized anonymous algorithm, it follows that with the exception of a few mock cases, the execution of every randomized anonymous algorithm can be decoupled into a generic preprocessing randomized stage that computes a 2-hop coloring, followed by a problem-specific deterministic stage. The main ingredient of our proof is a novel simulation method that relies on some surprising connections between 2-hop colorings and an extensively used graph lifting technique.
{"title":"Anonymous networks: randomization = 2-hop coloring","authors":"Y. Emek, Christoph Pfister, J. Seidel, Roger Wattenhofer","doi":"10.1145/2611462.2611478","DOIUrl":"https://doi.org/10.1145/2611462.2611478","url":null,"abstract":"This paper considers the computational power of anonymous message passing algorithms (henceforth, anonymous algorithms), i.e., distributed algorithms operating in a network of unidentified nodes. We prove that every problem that can be solved (and verified) by a randomized anonymous algorithm can also be solved by a deterministic anonymous algorithm provided that the latter is equipped with a 2-hop coloring of the input graph. Since the problem of 2-hop coloring a given graph (i.e., ensuring that two nodes with distance at most 2 have different colors) can by itself be solved by a randomized anonymous algorithm, it follows that with the exception of a few mock cases, the execution of every randomized anonymous algorithm can be decoupled into a generic preprocessing randomized stage that computes a 2-hop coloring, followed by a problem-specific deterministic stage. The main ingredient of our proof is a novel simulation method that relies on some surprising connections between 2-hop colorings and an extensively used graph lifting technique.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129700663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Session 2","authors":"M. Raynal","doi":"10.1145/3246716","DOIUrl":"https://doi.org/10.1145/3246716","url":null,"abstract":"","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121784271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Afek, Yehonatan Ginzberg, Shir Landau Feibish, Moshe Sulamy
Following [4] we extend and generalize the game-theoretic model of distributed computing, identifying different utility functions that encompass different potential preferences of players in a distributed system. A good distributed algorithm in the game-theoretic context is one that prohibits the agents (processors with interests) from deviating from the protocol; any deviation would result in the agent losing, i.e., reducing its utility at the end of the algorithm. We distinguish between different utility functions in the context of distributed algorithms, e.g., utilities based on communication preference, solution preference, and output preference. Given these preferences we construct two basic building blocks for game theoretic distributed algorithms, a wake-up building block resilient to any preference and in particular to the communication preference (to which previous wake-up solutions were not resilient), and a knowledge sharing building block that is resilient to any and in particular to solution and output preferences. Using the building blocks we present several new algorithms for consensus, and renaming as well as a modular presentation of the leader election algorithm of [4].
{"title":"Distributed computing building blocks for rational agents","authors":"Y. Afek, Yehonatan Ginzberg, Shir Landau Feibish, Moshe Sulamy","doi":"10.1145/2611462.2611481","DOIUrl":"https://doi.org/10.1145/2611462.2611481","url":null,"abstract":"Following [4] we extend and generalize the game-theoretic model of distributed computing, identifying different utility functions that encompass different potential preferences of players in a distributed system. A good distributed algorithm in the game-theoretic context is one that prohibits the agents (processors with interests) from deviating from the protocol; any deviation would result in the agent losing, i.e., reducing its utility at the end of the algorithm. We distinguish between different utility functions in the context of distributed algorithms, e.g., utilities based on communication preference, solution preference, and output preference. Given these preferences we construct two basic building blocks for game theoretic distributed algorithms, a wake-up building block resilient to any preference and in particular to the communication preference (to which previous wake-up solutions were not resilient), and a knowledge sharing building block that is resilient to any and in particular to solution and output preferences. Using the building blocks we present several new algorithms for consensus, and renaming as well as a modular presentation of the leader election algorithm of [4].","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132265077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper defines a new consensus problem, convex hull consensus. The input at each process is a d-dimensional vector of reals (or, equivalently, a point in the d-dimensional Euclidean space), and the output at each process is a convex polytope contained within the convex hull of the inputs at the fault-free processes. We explore the convex hull consensus problem under crash faults with incorrect inputs, and present an asynchronous approximate convex hull consensus algorithm with optimal fault tolerance that reaches consensus on an optimal output polytope. Convex hull consensus can be used to solve other related problems. For instance, a solution for convex hull consensus trivially yields a solution for vector (multidimensional) consensus. More importantly, convex hull consensus can potentially be used to solve other more interesting problems, such as function optimization.
{"title":"Asynchronous convex hull consensus in the presence of crash faults","authors":"Lewis Tseng, N. Vaidya","doi":"10.1145/2611462.2611470","DOIUrl":"https://doi.org/10.1145/2611462.2611470","url":null,"abstract":"This paper defines a new consensus problem, convex hull consensus. The input at each process is a d-dimensional vector of reals (or, equivalently, a point in the d-dimensional Euclidean space), and the output at each process is a convex polytope contained within the convex hull of the inputs at the fault-free processes. We explore the convex hull consensus problem under crash faults with incorrect inputs, and present an asynchronous approximate convex hull consensus algorithm with optimal fault tolerance that reaches consensus on an optimal output polytope. Convex hull consensus can be used to solve other related problems. For instance, a solution for convex hull consensus trivially yields a solution for vector (multidimensional) consensus. More importantly, convex hull consensus can potentially be used to solve other more interesting problems, such as function optimization.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133398628","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Linearizabilty allows to describe the behaviour of concurrent objects using sequential specifications. Unfortunately, as we show in this paper, sequential specifications cannot be used for concurrent objects whose observable behaviour in the presence of concurrent operations should be different than their behaviour in the sequential setting. As a result, such concurrency-aware objects do not have formal specifications, which, in turn, precludes formal verification. In this paper we present Concurrency Aware Linearizability (CAL), a new correctness condition which allows to formally specify the behaviour of a certain class of concurrency-aware objects. Technically, CAL is formalized as a strict extension of linearizability, where concurrency-aware specifications are used instead of sequential ones. We believe that CAL can be used as a basis for modular formal verification techniques for concurrency-aware objects.
{"title":"Brief announcement: concurrency-aware linearizability","authors":"Nir Hemed, N. Rinetzky","doi":"10.1145/2611462.2611513","DOIUrl":"https://doi.org/10.1145/2611462.2611513","url":null,"abstract":"Linearizabilty allows to describe the behaviour of concurrent objects using sequential specifications. Unfortunately, as we show in this paper, sequential specifications cannot be used for concurrent objects whose observable behaviour in the presence of concurrent operations should be different than their behaviour in the sequential setting. As a result, such concurrency-aware objects do not have formal specifications, which, in turn, precludes formal verification. In this paper we present Concurrency Aware Linearizability (CAL), a new correctness condition which allows to formally specify the behaviour of a certain class of concurrency-aware objects. Technically, CAL is formalized as a strict extension of linearizability, where concurrency-aware specifications are used instead of sequential ones. We believe that CAL can be used as a basis for modular formal verification techniques for concurrency-aware objects.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133490993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Session 6","authors":"Alexander Schvartsman","doi":"10.1145/3246720","DOIUrl":"https://doi.org/10.1145/3246720","url":null,"abstract":"","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127808638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jonathan Katz, A. Kiayias, Hong-Sheng Zhou, Vassilis Zikas
Universally composable (UC) protocols retain their security properties even when run concurrently alongside arbitrary other protocols. Unfortunately, it is known that UC multiparty computation (for general functionalities, and without assuming honest majority) is impossible without some form of setup. To circumvent this impossibility, various complete setup assumptions have been proposed. With only a few exceptions, past work has viewed these setup assumptions as being implemented by some ideal, incorruptible entity. Any such entity is thus a single point of failure, and security fails catastrophically in case the setup entity is subverted by an adversary. We propose here a clean, general, and generic approach for distributing trust among m arbitrary setups, by modeling potential corruption of setups within the UC framework, where such corruption might be fail-stop, passive, or arbitrary and is in addition to possible corruption of the parties themselves. We show several feasibility and impossibility results in this model, for different specifications of the corruptible sets. For example, we show that given m complete setups, up to t of which might be actively corrupted in an adaptive manner, general multiparty computation with no honest majority is possible if and only if t < m/2.
{"title":"Distributing the setup in universally composable multi-party computation","authors":"Jonathan Katz, A. Kiayias, Hong-Sheng Zhou, Vassilis Zikas","doi":"10.1145/2611462.2611480","DOIUrl":"https://doi.org/10.1145/2611462.2611480","url":null,"abstract":"Universally composable (UC) protocols retain their security properties even when run concurrently alongside arbitrary other protocols. Unfortunately, it is known that UC multiparty computation (for general functionalities, and without assuming honest majority) is impossible without some form of setup. To circumvent this impossibility, various complete setup assumptions have been proposed. With only a few exceptions, past work has viewed these setup assumptions as being implemented by some ideal, incorruptible entity. Any such entity is thus a single point of failure, and security fails catastrophically in case the setup entity is subverted by an adversary. We propose here a clean, general, and generic approach for distributing trust among m arbitrary setups, by modeling potential corruption of setups within the UC framework, where such corruption might be fail-stop, passive, or arbitrary and is in addition to possible corruption of the parties themselves. We show several feasibility and impossibility results in this model, for different specifications of the corruptible sets. For example, we show that given m complete setups, up to t of which might be actively corrupted in an adaptive manner, general multiparty computation with no honest majority is possible if and only if t < m/2.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127860553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We study the computation power of the congested clique, a model of distributed computation where n players communicate with each other over a complete network in order to compute some function of their inputs. The number of bits that can be sent on any edge in a round is bounded by a parameter b We consider two versions of the model: in the first, the players communicate by unicast, allowing them to send a different message on each of their links in one round; in the second, the players communicate by broadcast, sending one message to all their neighbors. It is known that the unicast version of the model is quite powerful; to date, no lower bounds for this model are known. In this paper we provide a partial explanation by showing that the unicast congested clique can simulate powerful classes of bounded-depth circuits, implying that even slightly super-constant lower bounds for the congested clique would give new lower bounds in circuit complexity. Moreover, under a widely-believed conjecture on matrix multiplication, the triangle detection problem, studied in [8], can be solved in O(nε) time for any ε > 0. The broadcast version of the congested clique is the well-known multi-party shared-blackboard model of communication complexity (with number-in-hand input). This version is more amenable to lower bounds, and in this paper we show that the subgraph detection problem studied in [8] requires polynomially many rounds for several classes of subgraphs. We also give upper bounds for the subgraph detection problem, and relate the hardness of triangle detection in the broadcast congested clique to the communication complexity of set disjointness in the 3-party number-on-forehead model.
{"title":"On the power of the congested clique model","authors":"Andrew Drucker, F. Kuhn, R. Oshman","doi":"10.1145/2611462.2611493","DOIUrl":"https://doi.org/10.1145/2611462.2611493","url":null,"abstract":"We study the computation power of the congested clique, a model of distributed computation where n players communicate with each other over a complete network in order to compute some function of their inputs. The number of bits that can be sent on any edge in a round is bounded by a parameter b We consider two versions of the model: in the first, the players communicate by unicast, allowing them to send a different message on each of their links in one round; in the second, the players communicate by broadcast, sending one message to all their neighbors. It is known that the unicast version of the model is quite powerful; to date, no lower bounds for this model are known. In this paper we provide a partial explanation by showing that the unicast congested clique can simulate powerful classes of bounded-depth circuits, implying that even slightly super-constant lower bounds for the congested clique would give new lower bounds in circuit complexity. Moreover, under a widely-believed conjecture on matrix multiplication, the triangle detection problem, studied in [8], can be solved in O(nε) time for any ε > 0. The broadcast version of the congested clique is the well-known multi-party shared-blackboard model of communication complexity (with number-in-hand input). This version is more amenable to lower bounds, and in this paper we show that the subgraph detection problem studied in [8] requires polynomially many rounds for several classes of subgraphs. We also give upper bounds for the subgraph detection problem, and relate the hardness of triangle detection in the broadcast congested clique to the communication complexity of set disjointness in the 3-party number-on-forehead model.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115377823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Session details: Session 7","authors":"P. Fatourou","doi":"10.1145/3246721","DOIUrl":"https://doi.org/10.1145/3246721","url":null,"abstract":"","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130316829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua Brody, Amit Chakrabarti, Ranganath Kondapally, David P. Woodruff, G. Yaroslavtsev
We consider the following fundamental communication problem - there is data that is distributed among servers, and the servers want to compute the intersection of their data sets, e.g., the common records in a relational database. They want to do this with as little communication and as few messages (rounds) as possible. They are willing to use randomization, and fail with a tiny probability. Given a protocol for computing the intersection, it can also be used to compute the exact Jaccard similarity, the rarity, the number of distinct elements, and joins between databases. Computing the intersection is at least as hard as the set disjointness problem, which asks whether the intersection is empty. Formally, in the two-server setting, the players hold subsets S, T ⊆ [n]. In many realistic scenarios, the sizes of S and T are significantly smaller than n, so we impose the constraint that |S|, |T| ≤ k. We study the minimum number of bits the parties need to communicate in order to compute the intersection set S ∩ T, given a certain number r of messages that are allowed to be exchanged. While O(k log (n/k)) bits is achieved trivially and deterministically with a single message, we ask what is possible with more than one message and with randomization. We give a smooth communication/round tradeoff which shows that with O(log* k) rounds, O(k) bits of communication is possible, which improves upon the trivial protocol by an order of magnitude. This is in contrast to other basic problems such as computing the union or symmetric difference, for which Ω(k log(n/k)) bits of communication is required for any number of rounds. For two players, known lower bounds for the easier problem of set disjointness imply our algorithms are optimal up to constant factors in communication and number of rounds. We extend our protocols to $m$-player protocols, obtaining an optimal O(mk) bits of communication with a similarly small number of rounds.
{"title":"Beyond set disjointness: the communication complexity of finding the intersection","authors":"Joshua Brody, Amit Chakrabarti, Ranganath Kondapally, David P. Woodruff, G. Yaroslavtsev","doi":"10.1145/2611462.2611501","DOIUrl":"https://doi.org/10.1145/2611462.2611501","url":null,"abstract":"We consider the following fundamental communication problem - there is data that is distributed among servers, and the servers want to compute the intersection of their data sets, e.g., the common records in a relational database. They want to do this with as little communication and as few messages (rounds) as possible. They are willing to use randomization, and fail with a tiny probability. Given a protocol for computing the intersection, it can also be used to compute the exact Jaccard similarity, the rarity, the number of distinct elements, and joins between databases. Computing the intersection is at least as hard as the set disjointness problem, which asks whether the intersection is empty. Formally, in the two-server setting, the players hold subsets S, T ⊆ [n]. In many realistic scenarios, the sizes of S and T are significantly smaller than n, so we impose the constraint that |S|, |T| ≤ k. We study the minimum number of bits the parties need to communicate in order to compute the intersection set S ∩ T, given a certain number r of messages that are allowed to be exchanged. While O(k log (n/k)) bits is achieved trivially and deterministically with a single message, we ask what is possible with more than one message and with randomization. We give a smooth communication/round tradeoff which shows that with O(log* k) rounds, O(k) bits of communication is possible, which improves upon the trivial protocol by an order of magnitude. This is in contrast to other basic problems such as computing the union or symmetric difference, for which Ω(k log(n/k)) bits of communication is required for any number of rounds. For two players, known lower bounds for the easier problem of set disjointness imply our algorithms are optimal up to constant factors in communication and number of rounds. We extend our protocols to $m$-player protocols, obtaining an optimal O(mk) bits of communication with a similarly small number of rounds.","PeriodicalId":186800,"journal":{"name":"Proceedings of the 2014 ACM symposium on Principles of distributed computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129390698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：