Inflation and deflation of self-adaptive applications

Moore, Ryan W.; Childers, Bruce R.

doi:10.1145/1988008.1988041

Cited by 6 publications

(4 citation statements)

References 11 publications

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“…The IoT domain shares a high overlap with the networking domain as IoT solutions are essentially localized networks. The trends of the IoT research in this phase is consistent with the themes of generic frameworks [1], [160], [172], [180], [297] and validation [129], [130].…”

Section: -2015 -The Last Decade -First Halfsupporting

confidence: 70%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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Championed by IBM's vision of autonomic computing paper in 2003, the autonomic computing research field has seen increased research activity over the last 20 years. Several conferences (SEAMS, SASO, ICAC) and workshops (SISSY) have been established and have contributed to the autonomic computing knowledge base in search of a new kind of system -a self-adaptive system (SAS). These systems are characterized by being context-aware and can act on that awareness. The actions carried out could be on the system or on the context (or environment). The underlying goal of a SAS is the sustained achievement of its goals despite changes in its environment. Despite a number of literature reviews on specific aspects of SASs ranging from their requirements to quality attributes, we lack a systematic understanding of the current state of the art. This paper contributes a systematic literature review into self-adaptive systems using the dblp computer science bibliography as a database. We filtered the records systematically in successive steps to arrive at 293 relevant papers. Each paper was critically analyzed and categorized into an attribute matrix. This matrix consisted of five categories, with each category having multiple attributes. The attributes of each paper, along with the summary of its contents formed the basis of the literature review that spanned 30 years . We characterize the maturation process of the research area from theoretical papers over practical implementations to more holistic and generic approaches, frameworks, and exemplars, applied to areas such as networking, web services, and robotics, with much of the recent work focusing on IoT and IaaS.

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Section: -2015 -The Last Decade -First Halfsupporting

confidence: 70%

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Wong¹,

Wagner²

2021

Preprint

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“…Note that, in this paper, we only focus on the prediction of the optimal core allocations. The run-time adaptation to the optimal core allocations has been addressed by previous work, and is beyond the scope of this paper [7,9,22,23].…”

Section: Applying Nucorementioning

confidence: 99%

Predicting the memory bandwidth and optimal core allocations for multi-threaded applications on large-scale NUMA machines

Wang

Davidson

Soffa

2016

2016 IEEE International Symposium on High Performance Computer Architecture (HPCA)

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Modern NUMA platforms offer large numbers of cores to boost performance through parallelism and multi-threading. However, because performance scalability is limited by available memory bandwidth, the strategy of allocating all cores can result in degraded performance. Consequently, accurately predicting optimal (best performing) core allocations, and executing applications with these allocations are crucial for achieving the best performance. Previous research focused on the prediction of optimal numbers of cores. However, in this paper, we show that, because of the asymmetric NUMA memory configuration and the asymmetric application memory behavior, optimal core allocations are not merely optimal numbers of cores. Additionally, previous studies do not adequately consider NUMA memory resources, which further limits their ability to accurately predict optimal core allocations. In this paper, we present a model, NuCore, which predicts both memory bandwidth usage and optimal core allocations. NuCore considers various memory resources and NUMA asymmetry, and employs Integer Programming to achieve high accuracy and low overhead. Experimental results from real NUMA machines show that the core allocations predicted by NuCore provide 1.27x average speedup over using all cores with only 75.6% cores allocated. Nu-Core also provides 1.18x and 1.21x average speedups over two state-of-the-art techniques. Our results also show that NuCore faithfully models NUMA memory systems and predicts memory bandwidth usages with only 10% average error.

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“…But there has been little work done on the hardware component designs which consumes far less energy. The Moore's law has ceased to exist recently which said that the amount of transistors will double every two years [14] [16]. But the increase in transistor density hasn't been proportional to computational improvements.…”

Section: Related Workmentioning

confidence: 99%

SPF: Segmented processor framework for energy efficient proactive routing based applications in MANET

Taneja

Taneja²,

Kumar

2015

2015 2nd International Conference on Recent Advances in Engineering &Amp; Computational Sciences (RAECS)

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Communicating nodes in MANET (Mobile Ad hoc Network) are highly mobile and battery powered. Energy of component node is a scare resource in MANET and the network lifetime depends on the availability of battery power. Numerous optimizations have been made in routing algorithms to ensure energy efficiency and increased network lifetime. This paper proposes a segmented processor framework particularly for the proactive routing based applications in MANET to optimize power consumption. The simulation results indicate energy savings of approximately over seven times as compared to identical set up with conventional processor architecture.

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Inflation and deflation of self-adaptive applications

Cited by 6 publications

References 11 publications

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Self-Adaptive Systems: A Systematic Literature Review Across Categories and Domains

Predicting the memory bandwidth and optimal core allocations for multi-threaded applications on large-scale NUMA machines

SPF: Segmented processor framework for energy efficient proactive routing based applications in MANET

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