Nondominated local coteries for resource allocation in grids and clouds

The resource allocation problem is a fundamental problem in Grid and Cloud computing environments. This paper focuses on constructing nondominated (ND) local coteries to solve the problem in a distributed way. Distributed algorithms using coteries usually incur low communication overheads and have high degrees of fault-tolerance, and ND coteries are candidates for the algorithms to achieve the highest degree of fault-tolerance. A new type of coteries, called p-coteries, is defined to aid the construction of local coteries. Theorems about the nondomination of p-coteries are then developed, and an operation, called pairwise-union (p-union), is proposed to help generate ND p-coteries, which in turn can be used to generate ND local coteries for solving the resource allocation problem.     

Delay optimal coteries on regular symmetric networks

Coteries, introduced by Garcia-Molina and Barbara [Journal for the Association for Computing Machinery, 32 (4) (1985) 841], are an important and effective tool for enforcing mutual exclusion in distributed systems. Communication delay is an important performance measure for a coterie. Fu et al. [IEEE Transactions on Parallel and Distributed Systems, 8 (1) (1997) 59] emphasize that while calculating communication delay, the actual distances between different sites in a network must be taken into account and using this idea, obtain delay optimal coteries for trees, rings and hypercubes. Also, topology of an interconnection network plays an important role in the performance of a distributed system. For certain applications, it is desirable that the degree of each node in the interconnection network is the same. Constant Degree Four Cayley Graphs introduced by Vadapalli and Srimani [IEEE Transactions on Parallel and Distributed Systems 7(2) (1996) 26] provide an ideal topology for such applications. They are regular, have a logarithmic diameter and a node connectivity of four. In this paper, we prove that no coterie on an arbitrary network can have a delay of less than half the diameter of the network and use this result to obtain delay optimal coteries on regular symmetric networks with special reference to constant degree four Cayley interconnection-network.     

Generating and approximating nondominated coteries

A coterie, which is used to realize mutual exclusion in a distributed system is a family C of incomparable subsets such that every pair of subsets in C has at least one element in common. Associate with a family of subsets C a positive (i.e., monotone) Boolean function f_c such that f_c(x)=1 if the Boolean vector x is equal to or greater than the characteristic vector of some subset in C, and 0 otherwise. It is known that C is a coterie if and only if f_c is dual-minor, and is a nondominated (ND) coterie if and only if f_c is self-dual. We introduce an operator ρ, which transforms a positive self-dual function into another positive self-dual function, and the concept of almost-self-duality, which is a close approximation to self-duality and can be checked in polynomial time (the complexity of checking positive self-duality is currently unknown). After proving several interesting properties of them, we propose a simple algorithm to check whether a given positive function is self-dual or not. Although this is not a polynomial algorithm, it is practically efficient in most cases. Finally, we present an incrementally polynomial algorithm that generates all positive self-dual functions (ND coteries) by repeatedly applying p operations. Based on this algorithm, all ND coteries of up to seven variables are computed     

Recognizing nondominated coteries and wr-coteries by availability

Coterie is a widely accepted concept for solving the mutual exclusion problem. Nondominated coteries are an important class of coteries which have better performance than dominated coteries. The performance of a coterie is usually measured by availability. Higher availability of a coterie exhibits greater ability to tolerate node or communication link failures. In this paper, we demonstrate a way to recognize nondominated coteries using availability. By evaluating the availability of a coterie instead of using a formal proof, the coterie can be recognized as a nondominated coterie or not. Moreover, with regard to wr-coterie, a concept for solving the replica control problem, we also present a similar result for recognizing nondominated wr-coteries. Finally, we apply our results to some well-known coteries and wr-coteries     

Optimal coteries for rings and related networks

Summary Let a distributed system be represented by a graphG=(V, E), whereV is the set of nodes andE is the set of communication links. A coterie is defined as a family,C, of subsets ofV such that any pair of subsets inC has at least one node in common and no subset inC contains any other subset inC. Assuming that each nodev _i V (resp. linke _j E) is operational with probabilityp _i (resp.r _j ), the availability of a coterie is defined as the probability that the operational nodes and links ofG connect all nodes in at least one subset in the coterie. Although it is computationally intractable to find an optimal coterie that maximizes availability for general graphG, we show in this paper that, ifG is a ring, either a singleton coterie or a 3-majority coterie is optimal. Therefore, for any ring, an optimal coterie can be computed in polynomial time. This result is extended to the more general graphs, in which each biconnected component is either an edge or a ring. Toshihide Ibaraki received the B.E., M.E., and Dr. E. degrees from Kyoto University, in 1963, 1965 and 1970, respectively. Since 1969, he has been with the Department of Applied Mathematics and Physics, Kyoto University, except for two and a half years from 1983 to 1985, during which time he was with Department of Computer and Information Sciences, Toyohashi University of Technology. Currently, he is a professor of Kyoto University. He has held a number of visiting appointments with University of Illinois, University of Waterloo, Simon Fraser University, Rutgers University, and others. He is the author of Enumerative Approaches to Combinatorial Optimization, Baltzer AG., a coauthor of Resource Allocation Problems: Algorithmic Approaches, MIT Press, and the author of several books in Japanese, including Algorithms and Data Structures, Shoukohdou. His interest includes algorithms, optimization, computational complexity and their applications. Hiroshi Nagamochi was born in Tokyo, on January 1, 1960. He received the B.A., M.E. and D.E. degrees from Kyoto University, in 1983, in 1985 and in 1988, respectively. From 1988 to 1990, he was with Department of Computer and Information Sciences, Toyohashi University of Technology. Currently, he is an Associate Professor in the Department of Applied Mathematics and Physics at Kyoto University. His research interests include network flow problems and graph connectivity problems. Dr. Nagamochi is a member of the Operations Research Society of Japan and the Information Processing Society. Tsunehiko Kameda received the B.E. and M.E. degrees from the University of Tokyo in 1961 and 1963, respectively, and the Ph.D. degree from Princeton University in 1968. From 1967 to 1980, he was with the Department of Electrical Engineering, University of Waterloo. Since 1981, he has been with Simon Fraser University, Burnaby, British Columbia, Canada, where he is a Professor of Computing Science and is the Director of Computer and Communications Research Laboratory. He has held a number of visiting appointments with Universities of Erlangen-Nürnberg, Bonn, Frankfurt, and Braunschweig, and Gesellschaft für Mathematik und Datenverarbeitung, all in Germany, and also with Kyoto University, Japan. Dr. Kameda is a member of the ACM. He has co-authored three books: Einführung in die Codierungstheorie, Bibliographisches Institut, Distributed Algorithms, Kindai Kagaku-Sha, and A Probabilistic Analysis of Test Response Compaction, IEEE Press. His current research interests include database systems, combinatorial algorithms, distributed computing, ATM networks, and random testing of VLSI circuits.This work was supported in part by Grant-in-Aid from the Ministry of Education, Science and Culture of Japan, and in part by grants from the Natural Sciences and Engineering Research Council of Canada, and the Advanced Systems Institute of British Columbia.     

A geometric approach for constructing coteries and k-coteries

Quorum-based mutual exclusion algorithms are resilient to node and communication line failures. Recently, some mutual exclusion algorithms successfully use logical structures to construct coteries with small quorums sizes. In this paper, we introduce a geometric approach on dealing with the logical structures and present some useful geometric properties for constructing coteries and k-coteries. Based on those geometric properties, a logical structure named three-sided graph is proposed to provide a new scheme for constructing coteries with small quorums: The smallest quorum size is O(√N) in a homogeneous system with N nodes and O(1) in a heterogeneous system. In addition, we also extend the three-sided graph to the O-sided graph for constructing k-coteries     

Obtaining coteries that optimize the availability of replicateddatabases

Techniques for implementing the coterie scheme and for obtaining optimal coteries for a system are presented. Central to the techniques is the notion of an acceptance set, which is an alternative representation of the information contained in a coterie. Using this concept, the coterie scheme can be implemented efficiently, and an optimal coterie for a system can be obtained more directly. The problem of determining an optimal acceptance set is formulated as a sparse zero-one linear programming problem. Hence, the optimization problem can be handled using the very rich class of existing techniques for solving such problems. Experimental results indicate that the optimization approach is feasible for up to eight nodes at least. The ways in which the scheme and the optimization approach can be used for systems that distinguish between read and write operations are indicated     

基于自适应划分的进化多目标优化非支配个体选择策略

进化多目标优化主要研究如何利用进化计算方法求解多目标优化问题,已经成为进化计算领域的研究热点之一.多目标优化问题解的多样性主要体现在两个方面,即分布的广度和均匀程度.在分析了已有多目标进化算法保持解的多样性策略的基础上,提出了一种基于自适应划分的非支配个体选取策略.新策略根据非支配个体在目标空间的相似性程度对由当前非支配个体构成的前沿面进行自适应划分,在划分出的各区域选择最具代表性的个体,实现对非支配个体的修剪操作.为了验证新策略的有效性,将此策略应用于两类典型的多目标进化算法中,基于13个标准测试问题的仿真结果表明,自适应划分策略使最优解的均匀性和广度得到了很好的提升.     

A distance measure for large graphs based on prime graphs

Graphs are universal modeling tools. They are used to represent objects and their relationships in almost all domains: they are used to represent DNA, images, videos, social networks, XML documents, etc. When objects are represented by graphs, the problem of their comparison is a problem of comparing graphs. Comparing objects is a key task in our daily life. It is the core of a search engine, the backbone of a mining tool, etc. Nowadays, comparing objects faces the challenge of the large amount of data that this task must deal with. Moreover, when graphs are used to model these objects, it is known that graph comparison is very complex and computationally hard especially for large graphs. So, research on simplifying graph comparison gainedan interest and several solutions are proposed. In this paper, we explore and evaluate a new solution for the comparison of large graphs. Our approach relies on a compact encoding of graphs called prime graphs. Prime graphs are smaller and simpler than the original ones but they retain the structure and properties of the encoded graphs. We propose to approximate the similarity between two graphs by comparing the corresponding prime graphs. Simulations results show that this approach is effective for large graphs.     

Stochastic minority on graphs

Cellular automata have been mainly studied on very regular graphs carrying the vertices (like lines or grids) and under synchronous dynamics (all vertices update simultaneously). In this paper, we study how the asynchronism and the graph act upon the dynamics of the classical minority rule. Minority has been well-studied for synchronous updates and is thus a reasonable choice to begin with. Yet, beyond its apparent simplicity, this rule yields complex behaviors when asynchronism is introduced. We investigate the transitory part as well as the asymptotic behavior of the dynamics under full asynchronism (also called sequential: only one random vertex updates at each time step) for several types of graphs. Such a comparative study is a first step in understanding how the asynchronous dynamics is linked to the topology (the graph).Previous analyses on the grid Regnault et al. (2009, 2010) [1] and [2] have observed that minority seems to induce fast stabilization. We investigate here this property on arbitrary graphs using tools such as energy, particles and random walks. We show that the worst case convergence time is, in fact, strongly dependent on the topology. In particular, we observe that the case of trees is nontrivial.     

Grammars on partial graphs

Summary The concept of Chomsky-grammars is generalized to graph-grammars; the gluing of graphs is defined by a pushout-construction. In the present paper, we allow the left-hand and right-hand side of a production to be partial graphs, i.e. graphs in which there may be edges without a source or target node. A necessary and sufficient condition for applicability of productions is given. Furthermore, convex graph-grammars are studied.     

Reachability on prefix-recognizable graphs

We prove that on prefix-recognizable graphs reachability is complete for deterministic exponential time matching the complexity of alternating reachability.     

Honeycomb toroidal graphs are Cayley graphs

There is a particular family of trivalent vertex-transitive graphs that have been called generalized honeycomb tori by some and brick products by others. They have been studied as hexagonal embeddings on the torus as well. We show that all these graphs are Cayley graphs on generalized dihedral groups.     

Problems on mathematical safes on graphs

For given two sets of locks, the corresponding problems on mathematical safes are formulated on graphs. In the first set, all the locks have the same number of sates and, in the second set, any pair of locks can consist of different numbers of sates. A number of conditions are obtained under which there exist solutions to these problems for safes specified on directed or undirected single graphs such as a path, a chain, a cycle, and a star. __________ Translated from Kibernetika i Sistemnyi Analiz, No. 5, pp. 14–21, September–October 2006.     

Parallel sorting on cayley graphs

This paper presents a parallel algorithm for sorting on any graph with a Hamiltonian path and 1-factorization. For ann-cube the algorithm is equivalent to the sequential balanced sorting network of Dowd, Perl, Rudolph, and Saks. The application of this algorithm to other networks is discussed.     

Parallel sorting on cayley graphs

This paper presents a parallel algorithm for sorting on any graph with a Hamiltonian path and 1-factorization. For ann-cube the algorithm is equivalent to the sequential balanced sorting network of Dowd, Perl, Rudolph, and Saks. The application of this algorithm to other networks is discussed.