An SLA-Driven Cache Optimization Approach for Multi-tenant Application on PaaS

He, Huihong; Ma, Zhiyi; Chen, Hongjie; Wu, Dan; Liu, Huanhuan; Shao, Wei

doi:10.1109/compsac.2014.21

Cited by 3 publications

(3 citation statements)

References 20 publications

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“…For example, Figure 8 displays the results by applying user-oriented optimization strategy in a simulation experiment, which is updated based on the experiments in [18]. We invite twenty people to play as end users, each of whom has his own response time expectation.…”

Section: Figure 6 Interface For User To Define His Requirementsmentioning

confidence: 99%

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How the crowd impacts commercial applications: a user-oriented approach

Chen

et al. 2014

Proceedings of the 1st International Workshop on Crowd-Based Software Development Methods and Technologies

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As crowdsourcing has been applied to a variety of disciplines, e.g. marketing and operationalization, more and more scientists turn their sights to how the crowd innovate software engineering to produce high quality software. However, they mainly focus on the impacts brought by domain experts or experienced developers on developing and managing open source softwares, whereas how softwares are influenced by the ordinary people e.g. end users is seldom discussed and easily omitted. To fill up the research gaps, we investigate into commercial application improvement paradigm with assistance of user crowd. The approach focuses on end users by proposing a workflow loop to form a healthy cycle between them and applications. Especially, the approach propose a suggestion model to encourage users to participate into application runtime adaptation. So far, a prototype is developed to enable the crowd to raise and modify their advices, and our prior work has proven the effectiveness in which applications consider the users' advices to adapt themselves.

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Section: Figure 6 Interface For User To Define His Requirementsmentioning

confidence: 99%

“…Every discarded user is refunded based on his eagerness. Our prior work [18] discusses how to implement the strategy. StopLossStrategy is the last strategy we currently support, which can be considered as a complement to UserOrientedOptimization strategy.…”

Section: Figure 5 Semantic Model For Application Adaptation Strategymentioning

confidence: 99%

How the crowd impacts commercial applications: a user-oriented approach

Chen

et al. 2014

Proceedings of the 1st International Workshop on Crowd-Based Software Development Methods and Technologies

Self Cite

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“…At present, the optimisation approaches of user access experience are experience value quantification [4], data placement [5][6][7], task scheduling [8][9][10] and cache management [11][12][13]. For cache management, the second exponential smoothing method is used to predict the probability distribution of user data accessed again, and then caching priority of each kind of user is determined [14]. Performance indicators of each kind of user are dynamically monitored and their caching spaces are adjusted according to real-time states [15].…”

Section: Related Workmentioning

confidence: 99%

Multi-level cache management of quantitative trading platform

Zou

Alterazi

Hdeib

2021

Applied Mathematics and Nonlinear Sciences

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With the rapid development of quantitative trading business in the field of investment, quantitative trading platform is becoming an important tool for numerous investing users to participate in quantitative trading. In using the platform, return time of backtesting historical data is a key factor that influences user experience. In the aspect of optimising data access time, cache management is a critical link. Research work on cache management has achieved many referential results. However, quantitative trading platform has its special demands. (1) Data access of users has overlapping characteristics for time-series data. (2) This platform uses a wide variety of caching devices with heterogeneous performance. To address the above problems, a cache management approach adapting quantitative trading platform is proposed. It not only merges the overlapping data in the cache to save space but also places data into multi-level caching devices driven by user experience. Our extensive experiments demonstrate that the proposed approach could improve user experience up to >50% compared with the benchmark algorithms.

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Configuring and Coordinating End-to-end QoS for Emerging Storage Infrastructure

Gupta,

Kant,

Pal

et al. 2024

ACM Trans. Model. Perform. Eval. Comput. Syst.

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Modern data center storage systems are invariably networked to allow for consolidation and flexible management of storage. They also include high performance storage devices based on flash or other emerging technologies, generally accessed through low-latency and high throughput protocols such as NVMe (or its derivatives) carried over the network. With the increasing complexity and data-centric nature of the applications, properly configuring the quality of service (QoS) for the storage path has become crucial for ensuring the desired application performance. Such QoS is substantially influenced by the QoS in the network path, in the access protocol, and in the storage device. In this paper, we define a new transport level QoS mechanism for the network segment and demonstrate how it can augment and coordinate with the access level QoS mechanism defined for NVMe, and a similar QoS mechanism configured in the device. We show that the transport QoS mechanism not only provides the desired QoS to different classes of storage accesses but is also able to protect the access to the shared persistent memory (PM) devices located along with the storage but requiring much lower latency than storage. We demonstrate that a proper coordinated configuration of the 3 QoS’es on the path is crucial to achieve the desired differentiation depending on where the bottlenecks appear.

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An SLA-Driven Cache Optimization Approach for Multi-tenant Application on PaaS

Cited by 3 publications

References 20 publications

How the crowd impacts commercial applications: a user-oriented approach

How the crowd impacts commercial applications: a user-oriented approach

Multi-level cache management of quantitative trading platform

Configuring and Coordinating End-to-end QoS for Emerging Storage Infrastructure

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