標(biāo)題: Titlebook: Do-All Computing in Distributed Systems; Cooperation in the P Chryssis Georgiou,Alexander A. Shvartsman Book 2008 Springer-Verlag US 2008 A [打印本頁] 作者: 偏差 時間: 2025-3-21 17:19
書目名稱Do-All Computing in Distributed Systems影響因子(影響力)
書目名稱Do-All Computing in Distributed Systems影響因子(影響力)學(xué)科排名
書目名稱Do-All Computing in Distributed Systems網(wǎng)絡(luò)公開度
書目名稱Do-All Computing in Distributed Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Do-All Computing in Distributed Systems被引頻次
書目名稱Do-All Computing in Distributed Systems被引頻次學(xué)科排名
書目名稱Do-All Computing in Distributed Systems年度引用
書目名稱Do-All Computing in Distributed Systems年度引用學(xué)科排名
書目名稱Do-All Computing in Distributed Systems讀者反饋
書目名稱Do-All Computing in Distributed Systems讀者反饋學(xué)科排名
作者: commonsense 時間: 2025-3-21 23:33
Distributed Cooperation Problems: Models and Definitions,ze the modeling framework used in the sequel to study problems of cooperative task execution in distributed environments under several ad- versarial settings. The framework includes abstract models of computation, definitions of adversity, the problem of distributed cooperation, viz. the . problem, 作者: 表示向下 時間: 2025-3-22 01:05
Synchronous Do-All with Crashes: Using Perfect Knowledge and Reliable Multicast, more benign type of adversity. In order to understand better the inherent limitations and difficulties of solving the. and . problems in the presence of crashes, we first abstract away any communication issues by assuming an oracle that provides load-balancing and computational progress information作者: crucial 時間: 2025-3-22 05:00 作者: TOXIN 時間: 2025-3-22 11:16 作者: dowagers-hump 時間: 2025-3-22 15:29
Synchronous Do-All with Byzantine Failures,armful to the computation. We now move to study the . problem under an adversary, called ., that can cause Byzantine processor failures. A faulty processor may perform arbitrary actions, including those that interfere with the ongoing computation. The distributed environment is still assumed to be s作者: dowagers-hump 時間: 2025-3-22 19:45
Asynchrony and Delay-Sensitive Bounds,gorithms tolerate any pattern of processor crashes with at least one surviving processor. More significantly, we are interested in algorithms whose work de- grades gracefully as a function of the worst case message delay d. Here the requirement is that work must be subquadratic in n and p as long as作者: 適宜 時間: 2025-3-22 21:52
Analysis of Omni-Do in Asynchronous Partitionable Networks,ks and learning the results of the tasks, despite the dynamically changing group connectivity. However, no amount of algorithmic sophistication can compensate for the possibility of groups of processors or even individual pro- cessors becoming disconnected during the computation. In general, an ad- 作者: CRACK 時間: 2025-3-23 04:58 作者: 充足 時間: 2025-3-23 09:01 作者: Allure 時間: 2025-3-23 13:30
Book 2008of multiple independent tasks by distributed computing agents including partitionable networks...Recent results have shed light on the understanding of how adversity affects efficiency, by presenting failure-sensitive upper and lower bounds for Do-All in several models for computation. The ability t作者: concise 時間: 2025-3-23 17:38 作者: mercenary 時間: 2025-3-23 20:19
https://doi.org/10.1007/978-1-137-51231-4ettings. The framework includes abstract models of computation, definitions of adversity, the problem of distributed cooperation, viz. the . problem, and the complexity measures used to evaluate the efficiency of algorithms solving the. problems in various settings and to establish the corresponding lower bounds.作者: 不給啤 時間: 2025-3-23 22:20
https://doi.org/10.1007/978-3-662-66482-7. As one would expect, in the point-to-point messag- ing setting the problem becomes more challenging and different techniques need to be employed in order to obtain efficient (deterministic) algorithms for ..作者: Fester 時間: 2025-3-24 05:22 作者: 怒目而視 時間: 2025-3-24 08:38 作者: PATHY 時間: 2025-3-24 12:51 作者: Missile 時間: 2025-3-24 15:26
Asynchrony and Delay-Sensitive Bounds, d = o(n). Thus for our algorithms we aim to develop. analysis of work and message complexity. Noting again that work must be Ω(p · n) for d ≥ n, we give a comprehensive analysis for d < n, achieving substantially better作者: Expertise 時間: 2025-3-24 22:36 作者: Dysarthria 時間: 2025-3-25 03:00 作者: SHOCK 時間: 2025-3-25 06:42
Transformative Geographische Bildungrting a multicast of a message, then this message is either received by all non-faulty targeted processors or by none. In this setting the availability of reliable multicast effectively approximates the availability of perfect knowledge, making it pos-sible to use the complexity results for perfect 作者: capillaries 時間: 2025-3-25 07:42
Transformative Geographische Bildung assume that messages sent within one step of a certain known duration are delivered before the end of the next such step. The efficiency of algorithms is evaluated in terms of total-work and message complexities.作者: BLOT 時間: 2025-3-25 13:13
Transformative Geographische Bildung (d) the case where task executions cannot be verified. The efficiency of algorithms is evaluated in terms of total-work and message complexities. We also consider time of computation, measured in terms of parallel global steps taken by the processors, and referred to simply as the number of steps. 作者: 倫理學(xué) 時間: 2025-3-25 17:27
https://doi.org/10.1007/978-3-031-20439-5lete (e.g., to solve the . problem). It may also be necessary for the processors in each network component to learn the results of the task completion. Thus here we pursue solutions to the . problem (Definition 2.3): Given a set of n tasks and p message-passing processors, each processor must learn 作者: CLASP 時間: 2025-3-25 23:16 作者: HUMID 時間: 2025-3-26 01:16
Self-Observation of Sublime Experiencea known collection of independent tasks by means of local scheduling decisions that require no communication and that achieve low redundant work in task executions. Such scheduling solutions exhibit an interesting connection between the distributed collaboration problem and the mathematical design t作者: 預(yù)示 時間: 2025-3-26 05:11 作者: neologism 時間: 2025-3-26 08:36
Synchronous Do-All with Crashes: Using Perfect Knowledge and Reliable Multicast,rting a multicast of a message, then this message is either received by all non-faulty targeted processors or by none. In this setting the availability of reliable multicast effectively approximates the availability of perfect knowledge, making it pos-sible to use the complexity results for perfect 作者: Bumptious 時間: 2025-3-26 16:37 作者: degradation 時間: 2025-3-26 16:56 作者: 愉快么 時間: 2025-3-26 23:20
Analysis of Omni-Do in Asynchronous Partitionable Networks,lete (e.g., to solve the . problem). It may also be necessary for the processors in each network component to learn the results of the task completion. Thus here we pursue solutions to the . problem (Definition 2.3): Given a set of n tasks and p message-passing processors, each processor must learn 作者: 有罪 時間: 2025-3-27 01:09 作者: 殖民地 時間: 2025-3-27 06:02
Cooperation in the Absence of Communication,a known collection of independent tasks by means of local scheduling decisions that require no communication and that achieve low redundant work in task executions. Such scheduling solutions exhibit an interesting connection between the distributed collaboration problem and the mathematical design t作者: 杠桿支點(diǎn) 時間: 2025-3-27 13:03 作者: abolish 時間: 2025-3-27 17:00
https://doi.org/10.1007/978-0-387-69045-2Adversity; Complexity Analysis; Computer; Distributed Algorithms; Distributed Cooperation; Do-All Problem作者: JOT 時間: 2025-3-27 19:44 作者: 愛了嗎 時間: 2025-3-27 23:33 作者: Hyperopia 時間: 2025-3-28 03:44
http://image.papertrans.cn/e/image/282267.jpg作者: EXULT 時間: 2025-3-28 06:32 作者: promote 時間: 2025-3-28 10:56 作者: commensurate 時間: 2025-3-28 14:58
Francis Akena Adyanga,Norma Rommom distributed search, such as SETI@home, to distributed simulation, and multi-agent collaboration. Target distributed platforms for such applications consist of hundreds or even thousands of processing units, and encompass multiprocessor machines, clusters of workstations, wide-area networks, and n作者: 散開 時間: 2025-3-28 20:56 作者: miscreant 時間: 2025-3-29 02:29 作者: Firefly 時間: 2025-3-29 04:30
https://doi.org/10.1007/978-3-662-66482-7s in the previous chapter, we considered the . prob- lem assuming that processors where assisted by an oracle or that reliable multicast was available. As one would expect, in the point-to-point messag- ing setting the problem becomes more challenging and different techniques need to be employed in 作者: impaction 時間: 2025-3-29 09:33
Transformative Geographische Bildunghen restarting and rejoining the system. Here we consider the . problem of performing . tasks in a message- passing distributed environment consisting of . processors that are subject to .. Failures are crashes, i.e., a crashed processor stops and does not perform any further actions until, and if, 作者: AUGER 時間: 2025-3-29 11:52
Transformative Geographische Bildungarmful to the computation. We now move to study the . problem under an adversary, called ., that can cause Byzantine processor failures. A faulty processor may perform arbitrary actions, including those that interfere with the ongoing computation. The distributed environment is still assumed to be s作者: linguistics 時間: 2025-3-29 16:53
How Natural Is “Natural” in Field Research?gorithms tolerate any pattern of processor crashes with at least one surviving processor. More significantly, we are interested in algorithms whose work de- grades gracefully as a function of the worst case message delay d. Here the requirement is that work must be subquadratic in n and p as long as作者: 領(lǐng)導(dǎo)權(quán) 時間: 2025-3-29 20:26
https://doi.org/10.1007/978-3-031-20439-5ks and learning the results of the tasks, despite the dynamically changing group connectivity. However, no amount of algorithmic sophistication can compensate for the possibility of groups of processors or even individual pro- cessors becoming disconnected during the computation. In general, an ad-
