A new auction‐based scheduler for heterogeneous systems with moldable generic resources support

Soner, Seren; Özturan, Can

doi:10.1002/cpe.3653

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…In order to design the assessment functions for HPC cluster environments, the nonfunctional requirements for such systems as well as the key indicators describing the effectiveness of scheduling and execution. The most common parameters describing the performance of a scheduling mechanism for HPC clusters are as follows 38–40 : Lowest‐level common switch: The lowest‐level common switch, from which all the nodes allocated to a request can be reached; Spread: The network distance from the first to the last node allocated to a job; Utilization: The utilization is computed as the ratio of the theoretical runtime to the observed runtime. The theoretical runtime cannot be computed easily since it requires the optimal placement.…”

Section: Self‐management and Self‐organization In Hpc Cluster Environmentsmentioning

confidence: 99%

A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment

Filelis‐Papadopoulos

Xiong

Morrison

2019

Concurrency and Computation

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Summary Finding an appropriate resource to host the next application to be deployed in a Cloud environment can be a nontrivial task. To deliver the appropriate level of service, the functional requirements of the application must be met. Ideally, this process involves filtering the best resource from a number of possible candidates while simultaneously satisfying multiple objectives. If timely responses to resource requests are to be maintained, the sophistication of the filtering mechanism and size of the search space have to be carefully balanced. The quality of the solution will thus not readily scale with growth in cloud resources and filtering complexity. This limitation is becoming more evident with the emergence of hyperscale clouds and the increased complexity needed to accommodate the growing heterogeneity in resources. Moreover, meeting nonfunctional requirements, reflecting the Cloud Service Provider's business objects, is also becoming increasingly critical as service utilization and energy efficiency in a typical cloud deployment are extremely low. This paper proposes a re‐examination of the resource allocation problem by proposing a framework to support distributed resource allocation decisions and that can be dynamically populated with strategies to reflect the ever‐growing number of diverse objectives as they become evident in the evolving cloud infrastructure.

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Section: Self‐management and Self‐organization In Hpc Cluster Environmentsmentioning

confidence: 99%

A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment

Filelis‐Papadopoulos

Xiong

Morrison

2019

Concurrency and Computation

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“…The five papers contained in this special issue cover very different areas. The titles of the papers are the following: MPI and UPC Broadcast, Scatter and Gather Algorithms in Xeon Phi A New Auction Based Scheduler for Heterogeneous Systems with Moldable Generic Resources Support Gaspar: A Compositional Aspect‐oriented Approach for Cluster Applications Novo‐G#: A Multidimensional Torus‐based Reconfigurable Cluster for Molecular Dynamics The DEEP Project: An alternative approach to heterogeneous cluster‐computing in the many‐core era …”

Section: Forewordmentioning

confidence: 99%

“…In the next paper, the authors propose several optimizations for schedulers of heterogeneous systems . First, they propose the possibility of resource range specifications to improve resource specification within batch jobs.…”

Section: Forewordmentioning

confidence: 99%

Heterogeneous cluster architectures and applications

Silla

Fröning

2016

Concurrency and Computation

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Why such a topic for a special issue? Which is the reason for fostering recent work on cluster architectures that do not fit into the widely established categories? Are unconventional applications especially interesting so that they are worth a special issue? Do these disruptive pieces of work deserve such a focus in a journal?From the point of view of the guest editors of this special issue, the progress of technology can be seen as a two-step process. One of the steps is performing research in order to achieve a better version of the designs we are currently enjoying. In this regard, for instance, when an interconnection network is enhanced so that its bandwidth is doubled, datacenters can deliver a new level of performance to their customers. In a similar way, new generations of processors help to significantly reduce energy consumption of the servers used in such datacenter. Also, installing new versions of accelerators in such servers allows applications to experience important reductions in their execution time at the time that the overall power consumption of the facility is not impacted. All these new developments require an enormous amount of research. For example, faster interconnects require to glue together research on microelectronics, physics, communication protocols, encoding schemes, and thermal issues, to name only a few. The creation of new generations of processors and accelerators also involves large amounts of research from a variety of areas, thus making that a big team of researchers is required in order to bring all those ideas to market. Nevertheless, if those developments are observed from a very broad and long-term perspective, they could be thought to be incremental, despite of their clear significance and despite that they enable new levels of performance. Hence, which should be the non-incremental developments?Our understanding of this fundamental problem is that the non-incremental developments would be those based on ideas that could cause surprise to those researchers initially listening to them. For instance, the very first time that several computers were interconnected in order to create a cluster of computers that cooperatively work together in order to solve a problem, at that point in time an unconventional idea appeared. From a long-term perspective, all the later developments around clusters are incremental; despite those developments are the result of many hours of work and huge amounts of effort from very smart researchers that probably devoted their lives to create those improved versions of the technology behind that initial idea of putting together a few computers into a cluster so that they collaborate in order to solve a problem.One more example of these non-incremental developments could be the use of Graphics Processing Unit (GPU) or any other accelerator in general, in order to reduce the execution time of applications. In this regard, new versions of these accelerators are required so that technology makes progress. Furthermore, these new versions of these acce...

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A new auction‐based scheduler for heterogeneous systems with moldable generic resources support

Cited by 2 publications

References 13 publications

A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment

A scalable and adaptable allocation framework for heterogeneous resources in a large cluster environment

Heterogeneous cluster architectures and applications

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