Interactive visual exploration of distributed computations

Hart, Delbert; Kraemer, Eileen; Roman, Gruia-Catalin

doi:10.1109/ipps.1997.580864

Cited by 9 publications

(4 citation statements)

References 10 publications

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“…To simplify the problem, in the EV environment, the overall computation is abstracted to an interleaving of atomic state changes involving one or more processes -by analogy to databases, such state changes are referred to as transactions. From a computational standpoint, transaction processing applications are a natural choice for obtaining global state information, since their structure matches the logical actions performed by the application [6]. For example, a money transfer may involve two processes located at different points of the network.…”

Section: Exploratory Visualization (Ev) Environmentmentioning

confidence: 99%

On-the-fly calculation and verification of consistent steering transactions

Miller

Guo

Kraemer

et al. 2001

Proceedings of the 2001 ACM/IEEE Conference on Supercomputing

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Section: Exploratory Visualization (Ev) Environmentmentioning

confidence: 99%

On-the-fly calculation and verification of consistent steering transactions

Miller

Guo

Kraemer

et al. 2001

Proceedings of the 2001 ACM/IEEE Conference on Supercomputing

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“…Additionally, the sequence of states should be continuous, the presentation does not elide states that the user is interested in. Our work in consistency [HKR97] is based upon the realization that processes in a distributed computations do not randomly communicate, rather they work together in well-defined ways to perform logical actions. The boundaries of these logical actions are ideal locations at which to collect data for presentation to the user, both for efficiency and for clarity.…”

Section: Consistentmentioning

confidence: 99%

Rapid development of dependable applications over Ad hoc networks

Roman

Murphy

2000

SIGSOFT Softw. Eng. Notes

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Page 77 tion, and 3) responding to the user's interactions to promote understanding and optimize data collection.Project OverviewUser Interaction. The ultimate goal is to enable the understanding of a computation without needing to inspect the source code. Enabling understanding is not the same as simply displaying all of the information. Only data supporting the user's goals needs to and should be shown. By providing navigation mechanisms, users can shift their attention, seeing visualizations containing only the data that they are interested in. Since not all combinations of data have predefined visualizations we have been researching the automatic and guided creation of visualizations of arbitrary application data. We have also been investigating how to support direct interaction with the visualizations as a form of navigation. We have found that utilizing a model that distinguishes the information to be communicated from its graphical expression is a useful basis for these two endeavors.Agent Framework. For Exploratory Visualization tools to be germane they must have efficient realizations. Especially challenging are are long-lived distributed computations, where the processes communicate solely through message passing. In addition to the potential size of such computations, difficulties stem from the multiple threads of control, lack of a shared global clock, and the application's longevity. Recently we have been developing an agent-based framework[HKR99] for monitoring and steering. Using agents 1) reduces the amount of lag in making some decisions, 2) provides more fine-grained capabilities, 3) naturally supports properties that are transmitted via messages, and 4) allows application specific information to be utilized at run-time to improve efficiency. The agent framework also serves as a testbed to prototype different monitoring and steering strategies. ConsistentViews. Central to aiding the user in understanding the execution is the ability to present an accurate view of the computation. The global state presented to the user must be consistent, i.e., a state of the computation that could have actually existed. Additionally, the sequence of states should be continuous, the presentation does not elide states that the user is interested in. Our work in consistency[HKR97] is based upon the realization that processes in a distributed computations do not randomly communicate, rather they work together in well-defined ways to perform logical actions. The boundaries of these logical actions are ideal locations at which to collect data for presentation to the user, both for efficiency and for clarity. Our results are able to provide consistent snapshots for computations that are only selectively monitored. ConclusionsExploratory Visualization is a promising approach to helping users learn about computations. In addressing the challenge of monitoring and steering long-lived distributed applications we have applied existing technologies from fields such as distributed computing, user interface, visualiza-tion and...

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“…Software visualization systems aim to explain or illustrate the algorithm, so their view creation process emphasizes vivid representation. Hart et al [HKR97] use Pavane for query-based visualization of distributed programs. However, their system only displays selected attributes of different processes and does not allow more complicated queries.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Query-Based Debugging

Lencevicius

Hölzle

Singh

1999

ECOOP’ 99 — Object-Oriented Programming

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Abstract. Program errors are hard to find because of the cause-effect gap between the time when an error occurs and the time when the error becomes apparent to the programmer. Although debugging techniques such as conditional and data breakpoints help to find error causes in simple cases, they fail to effectively bridge the cause-effect gap in many situations. Dynamic query-based debuggers offer programmers an effective tool that provides instant error alert by continuously checking inter-object relationships while the debugged program is running. To speed up dynamic query evaluation, our debugger (implemented in portable Java) uses a combination of program instrumentation, load-time code generation, query optimization, and incremental reevaluation. Experiments and a query cost model show that selection queries are efficient in most cases, while more costly join queries are practical when query evaluations are infrequent or query domains are small.

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Interactive visual exploration of distributed computations

Cited by 9 publications

References 10 publications

On-the-fly calculation and verification of consistent steering transactions

On-the-fly calculation and verification of consistent steering transactions

Rapid development of dependable applications over Ad hoc networks

Dynamic Query-Based Debugging

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