Elastic time

Srinivasan, Sudhir; Reynolds, Paul F.

doi:10.1145/280265.280267

Cited by 45 publications

(27 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Many other techniques for optimism control have been developed over the last two decades. Examples include the Breathing Time Warp protocol [89], the Global Progress Window algorithm [90], the Elastic Time algorithm [91], and the Switch Time Warp mechanism [92]. Likewise, varied flow-control and learning based algorithms have been defined (see, e.g., [93,94]).…”

Section: Optimism Control Mechanismsmentioning

confidence: 99%

Synchronization methods in parallel and distributed discrete-event simulation

Jafer

Liu

Wainer

2013

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

a b s t r a c tThis work attempts to provide insight into the problem of executing discrete event simulation in a distributed fashion. The article serves as the state of the art in Parallel DiscreteEvent Simulation (PDES) by surveying existing algorithms and analyzing the merits and drawbacks of various techniques. We discuss the main characteristics of existing synchronization methods for parallel and distributed discrete event simulation. The two major categories of synchronization protocols, namely conservative and optimistic, are introduced and various approaches within each category are presented. We also present the latest efforts towards PDES on emerging platforms such as heterogeneous multicore processors, Web services, as well as Grid and Cloud environment.Ó 2012 Elsevier B.V. All rights reserved. Parallel discrete-event simulationWith the computing power and advanced software available today, modeling and simulation has become a cost-effective tool for detailed analysis of a broad array of natural and artificial systems. Parallel and distributed simulation is widely accepted as the technology of choice to speed up large-scale discrete-event simulation and to promote reusability and interoperability of simulation components. Parallel Discrete-Event Simulation (PDES) has received increasing interest as simulations become more time consuming and geographically distributed. A rich literature has already been developed in the last three decades, taking advantage of the increasing availability of highly parallel and distributed computing platforms. It has been several years since the last survey by Perumalla [5] and a refreshed review of the latest developments would be needed for us to ponder new research initiatives, especially on emerging platforms such as many-core processors, Internetscale simulation environments, and cloud-based virtualized infrastructures.In parallel and distributed simulations, the entire simulation task is divided into a set of smaller subtasks with each executed on a different processor or node. Hence, the simulation system is viewed as a collection of concurrent processes, each modeling a different part of the physical system and executing on a dedicated processor in a sequential fashion. These processes communicate with each other by exchanging time-stamped event messages. An event refers to an update to simulation system state at a specific simulation time instant. Throughout the simulation, events arrive at destination processes, and depending on the delivery ordering system of the simulation, they are processed differently. The two commonly used orderings are (1) receive-order and (2) timestamp-order. With the first type, events are delivered to the destination processes when they arrive at the destination. On the other hand, with the timestamp-order, events are delivered in non-decreasing order of their timestamp, requiring runtime checks and buffering to ensure such ordering.1569-190X/$ -see front matter Ó

show abstract

Section: Optimism Control Mechanismsmentioning

confidence: 99%

Synchronization methods in parallel and distributed discrete-event simulation

Jafer

Liu

Wainer

2013

Simulation Modelling Practice and Theory

View full text Add to dashboard Cite

show abstract

“…al., 1994) or performing batch dequeue operations for all processors. (Srinivasan and Reynolds, 1998) showed that near perfect state information protocols could outperform traditional Time Warps systems. They introduced the Elastic Time Algorithm that dynamically adapted to fit the model being simulated.…”

Section: Related Workmentioning

confidence: 99%

Eliminating Remote Message Passing in Optimistic Simulation

Bauer¹,

Carothers²

2006

Proceedings of the 2006 Winter Simulation Conference

View full text Add to dashboard Cite

This paper introduces an algorithm for parallel simulation capable of executing the critical path without a priori knowledge of the model being executed. This algorithm is founded on the observation that each initial event in a model causes a stream of events to be generated for execution. By focusing on the parallelization of event streams, rather than logical processes, we have created a new simulation engine optimized for large scale models (i.e., models with 1 million LPs or more).

show abstract

“…Adaptive methods based upon global state, as their name implies, rely upon global state to control an LP's progress. The Near Perfect State Information Protocols [32] are a family of protocols which rely on the availability of ''near perfect'' information. One such protocol is the Elastic Time Algorithm [30], in which an LP is slowed down in proportion to the rate at which it moves ahead of its predecessor.…”

mentioning

confidence: 99%

Parallel Discrete-Event Simulation Applications

Tropper

2002

Journal of Parallel and Distributed Computing

View full text Add to dashboard Cite

Elastic time

Cited by 45 publications

References 29 publications

Synchronization methods in parallel and distributed discrete-event simulation

Synchronization methods in parallel and distributed discrete-event simulation

Eliminating Remote Message Passing in Optimistic Simulation

Parallel Discrete-Event Simulation Applications

Contact Info

Product

Resources

About