The Grid Workloads Archive

Iosup, Alexandru; Li, Hui; Jan, Mathieu; Anoep, Shanny; Dumitrescu, Cătălin; Wolters, Lex; Epema, Dick

doi:10.1016/j.future.2008.02.003

Cited by 248 publications

(170 citation statements)

References 37 publications

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“…The selected workload is one of the commonly used workloads by researchers, e.g. in Aida andCasanova (2009), Feitelson (2008), or Iosup et al (2008). Then, in Sect.…”

Section: Resultsmentioning

confidence: 99%

Hierarchical scheduling strategies for parallel tasks and advance reservations in grids

Kurowski

Oleksiak

Piątek

et al. 2011

J Sched

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Recently, the advance reservation functionality gained high importance in grids due to increasing popularity of modern applications that require interactive tasks, co-allocation of multiple resources, and performance guarantees. However, simultaneous scheduling, both advance reservations and batch tasks affects the performance. Advance reservations significantly deteriorate flow time of batch tasks and the overall resource utilization, especially in hierarchical scheduling structures. This is a consequence of unknown batch task processing times and the lack of possibility of altering allocations of advance reservations. To address these issues we present a common model for scheduling both computational batch tasks and tasks with advance reservation requests. We propose simple on-line scheduling policies and generic advices that reduce negative impact of advance reservations on a schedule quality. We also propose novel data structures and algorithms for efficient scheduling of advance reservations. A comprehensive experimental analysis is presented to show the influence of advance reservations on resource utilization, mean flow time, and mean tardiness-the criteria significant for administrators, users submitting batch tasks, and users requesting advance reservations, respectively. All experiments were performed with a well-known real workload using the GSSIM simulator.

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“…The selected workload is one of the commonly used workloads by researchers, e.g. in Aida andCasanova (2009), Feitelson (2008), or Iosup et al (2008). Then, in Sect.…”

Section: Resultsmentioning

confidence: 99%

Hierarchical scheduling strategies for parallel tasks and advance reservations in grids

Kurowski

Oleksiak

Piątek

et al. 2011

J Sched

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“…The workload for a task will have a normal distribution with a mean of 2.73 and a standard deviation of 6.1 following the average task runtime indicated in [13]. The durations were chosen because [11] gives the average time to run a task in a group submission/job as 14,181s and [12,10] indicates that most runtimes are shown to between a fraction of a minute and 1,000 min (1,000min = 16.6hrs). The runtime variability between tasks belonging to the same BoT [13] is indicated to follow a Weibull distribution with a shape of 2.05 and a scale parameter of 12.25 hence this variability will also be accounted for.…”

Section: Methodsmentioning

confidence: 99%

“…the time between arrivals of jobs) will follow the Weibull distribution and will have a shape parameter of 4.25 as per [13]. The inter-arrival time for job submissions is indicated to be between 1 and 1,000s in [10,12], with most been below 100s.…”

Section: Methodsmentioning

confidence: 99%

A Grid Broker Pricing Mechanism for Temporal and Budget Guarantees

Kavanagh

Djemame

2011

Computer Performance Engineering

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“…It turns out that the vast majority of grid jobs appear to be serial [439,359,356] (see Figure 9.39). One reason for this is that grids tend to be used for "bag-of-tasks" type jobs, in which numerous instances of the same application are executed with different parameter values [358,489].…”

Section: Grid Workloadsmentioning

confidence: 99%

Workload Modeling for Computer Systems Performance Evaluation

Feitelson

2015

196

131

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Reliable performance evaluations require the use of representative workloads. This is no easy task since modern computer systems and their workloads are complex, with many interrelated attributes and complicated structures. Experts often use sophisticated mathematics to analyze and describe workload models, making these models difficult for practitioners to grasp. This book aims to close this gap by emphasizing the intuition and the reasoning behind the definitions and derivations related to the workload models. It provides numerous examples from real production systems, with hundreds of graphs. Using this book, readers will be able to analyze collected workload data and clean it if necessary, derive statistical models that include skewed marginal distributions and correlations, and consider the need for generative models and feedback from the system. The descriptive statistics techniques covered are also useful for other domains.

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The Grid Workloads Archive

Cited by 248 publications

References 37 publications

Hierarchical scheduling strategies for parallel tasks and advance reservations in grids

Hierarchical scheduling strategies for parallel tasks and advance reservations in grids

A Grid Broker Pricing Mechanism for Temporal and Budget Guarantees

Workload Modeling for Computer Systems Performance Evaluation

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