Modeling Elasticity Trade-Offs in Adaptive Mixed Systems

Candra, Muhammad Zuhri Catur; Truong, Hong Linh; Dustdar, Schahram

doi:10.1109/wetice.2013.51

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…Authors in [12] propose a metric model called an Elasticity Profile (EP) that defines metrics for MCE's and HCE's to adjust the delivery of service of a SaaS cloud platform. The adjustment of service delivery is based on quality and cost metrics for provisioning HCEs and/or MCEs in a dynamically changing runtime environment to improve performance, reliability and throughput based on consumer input.…”

Section: Related Workmentioning

confidence: 99%

Combining Human and Machine Computing Elements for Analysis via Crowdsourcing

Jarrett

Saleh

Blake

et al. 2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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Crowd computing leverages human input in order to execute tasks that are computationally expensive, due to complexity and/or scale. Combined with automation, crowd computing can help solve problems efficiently and effectively. In this work, we introduce an elasticity framework that adaptively optimizes the use of human and automated software resources in order to maximize overall performance. This framework includes a quantitative model that supports elasticity when performing complex tasks. Our model defines a task complexity index and an elasticity index that is used to aid in decision support for assigning tasks to respective computing elements. Experiments demonstrate that the framework can effectively optimize the use of human and machine computing elements simultaneously. Also, as a consequence, overall performance is significantly enhanced.

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Section: Related Workmentioning

confidence: 99%

Combining Human and Machine Computing Elements for Analysis via Crowdsourcing

Jarrett

Saleh

Blake

et al. 2014

Proceedings of the 10th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing

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“…22 This platform utilizes HBS from simulated ICU clouds based our concepts and APIs to form quality-aware SCUs and we also developed elasticity rules for adapting ICU and SBS. 23 The SCU expansion and reduction for dependent and evolving tasks are currently being prototyped. In the next section, we explain some concepts of programming hybrid services that are the key elements of the architecture depicted in Fig.…”

Section: -15 H-l Truong S Dustdar and K Bhattacharyamentioning

confidence: 99%

Conceptualizing and Programming Hybrid Services in the Cloud

Truong

Dustdar

Bhattacharya³

2013

Int. J. Coop. Info. Syst.

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For solving complex problems, in many cases, software alone might not be sufficient and we need hybrid systems of software and humans in which humans not only direct the software performance but also perform computing and vice versa. Therefore, we advocate constructing "social computers" which combine software and human services. However, to date, human capabilities cannot be easily programmed into complex applications in a similar way like software capabilities. There is a lack of techniques to conceptualize and program human and software capabilities in a unified way. In this paper, we explore a new way to virtualize, provision and program human capabilities using cloud computing concepts and service delivery models. We propose novel methods for conceptualizing and modeling clouds of human-based services (HBS) and combine HBS with software-based services (SBS) to establish clouds of hybrid services. In our model, we present common APIs, similar to well-developed APIs for software services, to access individual and team-based compute units in clouds of HBS. Based on that, we propose a framework for utilizing SBS and HBS to solve complex problems. We present several programming primitives for hybrid services, also covering forming hybrid solutions consisting of software and humans. We illustrate our concepts via some examples of using our cloud APIs and existing cloud APIs for software.

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