Differentiated Performance in NoSQL Database Access for Hybrid Cloud-HPC Workloads

Andreoli, Remo; Cucinotta, Tommaso

doi:10.1007/978-3-030-90539-2_30

Cited by 4 publications

(2 citation statements)

References 25 publications

(18 reference statements)

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“…However, the way WiredTiger is used within MongoDB makes busy waiting unsafe, as the rules recalled in Section I are not enforced. each remote connection to a MongoDB server is reserved a unique dedicated thread to handle the server-side activities [4], [5], which are ultimately performed by WiredTiger. Therefore, MongoDB should have controlled/restricted the number of clients concurrently issuing requests to avoid the potential waste of CPU time, as they result in threads concurrently using WiredTiger.…”

Section: A "Unsafe" Busy Waitingmentioning

confidence: 99%

Inducing Huge Tail Latency on a MongoDB deployment

Andreoli,

Cucinotta

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

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The NoSQL paradigm has emerged as the leading design choice for cloud providers offering highly scalable storage services. Contrary to traditional relational databases, NoSQL architectures are capable of ingesting the ever-growing volume of nowadays' data-driven applications characterized by low-latency and high-throughput requirements. However, it is difficult to build an ultra-scalable, high-performance storage engine that can sustain an arbitrary number of concurrent clients. A common technique to increase throughput is minimizing the OS overhead, quantified as the number of context switches, through busy waiting (or "spinning"). While this simple synchronization mechanism proves to be beneficial in the high-performance computing community, it requires special care to avoid wasting resources and counter-intuitive behaviors. In this paper, we address an instance of "unsafe" busy waiting in WiredTiger, the underlying storage engine of MongoDB, which leads to a consistent, excessive increase of tail latency in high contention scenarios.

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Section: A "Unsafe" Busy Waitingmentioning

confidence: 99%

Inducing Huge Tail Latency on a MongoDB deployment

Andreoli,

Cucinotta

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

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“…However, it does not demonstrate the latency and efficiency of the optimized approach which has been studied in the proposed approach. R. Andreoli et al [7] tweaks MongoDB NoSQL to allow OS-level priority-based performance modifications. The change is modest, doesn't affect database functionality, and interacts with MongoDB's security access control.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Approach of Latency and Energy Efficiency Analysis of IIoT With SQL and NoSQL Databases Communication

Kenitar,

Arioua,

Yahyaoui

2023

IEEE Access

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Industrial Internet of Things (IIoT)-enabled production facilities generate vast amounts of data, which, if harnessed effectively, can substantially enhance manufacturing efficiency through latency reduction. The selection of the appropriate data storage technology is a pivotal consideration in achieving this objective. While prior studies have examined SQL and NoSQL databases in terms of latency and energy efficiency, these evaluations have not been conducted specifically within the context of IIoT. This paper aims to fill this research gap by conducting a rigorous comparison of SQL and NoSQL databases, focusing on their performance latency and energy efficiency when interfaced with IoT nodes. By elucidating these relationships, our research offers actionable insights that can guide IIoT-enabled manufacturing facilities in optimizing their operations. Specifically, the paper aids in the selection of the most suitable database technology, thereby contributing to latency minimization and efficiency maximization in industrial settings.

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Towards a Holistic Cloud System with End-to-End Performance Guarantees

Andreoli,

Cucinotta

2023

2023 IEEE International Conference on Cloud Engineering (IC2E)

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Computing technologies are undergoing a relentless evolution from both the hardware and software sides, incorporating new mechanisms for low-latency networking, virtualization, operating systems, hardware acceleration, smart services orchestration, serverless computing, hybrid private-public Cloud solutions and others. Therefore, Cloud infrastructures are becoming increasingly attractive for deploying a wider and wider range of applications, including those with more and more stringent timing constraints, like the emerging use case of deploying time-critical applications. However, despite the availability of a number of public Cloud offerings, and of products (or open-source suites) for deploying in-house private Cloud infrastructures, still there are no solutions readily available for managing time-critical software components with predictable end-to-end timing requirements in the range of hundreds or even tens of milliseconds. The goal of this discussion is to present the multi-domain challenges associated with orchestrating a holistic Cloud system with endto-end guarantees, which is the subject of my current PhD investigations.

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Differentiated Performance in NoSQL Database Access for Hybrid Cloud-HPC Workloads

Cited by 4 publications

References 25 publications

Inducing Huge Tail Latency on a MongoDB deployment

Inducing Huge Tail Latency on a MongoDB deployment

A Novel Approach of Latency and Energy Efficiency Analysis of IIoT With SQL and NoSQL Databases Communication

Towards a Holistic Cloud System with End-to-End Performance Guarantees

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