ysla: Reusable and Configurable SLAs for Large-Scale SLA Management

Engel, Robert; Rajamoni, Shashank; Chen, Bryant; Ludwig, Heiko; Keller, Alexander

doi:10.1109/cic.2018.00050

Cited by 8 publications

(5 citation statements)

References 15 publications

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“…For instance, if one tenant experiences a crash, it should not affect or interrupt other tenants. Additionally, in scenarios where a tenant demands peak database performance, other tenants sharing the same resources must still fulfill their respective service level agreements (SLA) without compromise [24], [25].…”

Section: Data Management Strategies-in-memory Databasementioning

confidence: 99%

A systematic review of in-memory database over multi-tenancy

Shah,

Bhatt

2024

IJECE

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The significant cost and time are essential to obtain a comprehensive response, the response time to a query across a peer-to-peer database is one of the most challenging issues. This is particularly exact when dealing with large-scale data processing, where the traditional approach of processing data on a single machine may not be sufficient. The need for a scalable, reliable, and secure data processing system is becoming increasingly important. Managing a single in-memory database instance for multiple tenants is often easier than managing separate databases for each tenant. The research work is focused on scalability with multi-tenancy and more efficiency with a faster querying performance using in-memory database approach. We compare the performance of a row-oriented approach and column-oriented approach on our benchmark human resources (HR) schema using Oracle TimesTen in-memory database. Also, we captured some of the key advantages on optimization dimension(s) are the traditional approach, late-materialization, compression and invisible join on column-store (c-store) and row-base. When compression and late materialization are enabled in a query set; it improves the overall performance of query sets. In particular, the paper aims to elucidate the motivations behind multi-tenant application requirements concerning the database engine and highlight major designs over in-memory database for the tenancy approach on cloud.

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Section: Data Management Strategies-in-memory Databasementioning

confidence: 99%

A systematic review of in-memory database over multi-tenancy

Shah,

Bhatt

2024

IJECE

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“…Research on this SLA definition is more diversified in many different domains [59]. • Real-time SLA monitoring.…”

Section: A Service-level Agreementsmentioning

confidence: 99%

PenChain: A Blockchain-Based Platform for Penalty-Aware Service Provisioning

Nguyen,

Lê,

Shah

et al. 2024

IEEE Access

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Service provisioning is of paramount importance as we are now heading for a world of integrated services giving rise to the next generation of service ecosystems. The huge number of service offerings that will be available for customers in future scenarios require a novel approach to service registry and discovery that lets customers choose those offerings that best match their preferences. One way to achieve this is to introduce the provider's reputation, i.e., a quality indicator of the provisioned service, as an additional search criterion. Now, with blockchain technology in our hands, automated regulation of service-level agreements (SLAs) that capture the mutual agreements between all involved parties has regained momentum. In this article, we report our full-fledged work on the conception, design, and construction of a platform for SLA-minded service provisioning called PenChain. With our work, we demonstrate that penalty-aware SLAs of general services -if represented in a machine-readable logic and assisted by distributed ledger technology -are programmatically enforceable. We devise algorithms for ranking services in a search result taking into account the digitized values of the SLAs. We offer scenario-based evaluation of PenChain in the field of precision agriculture and the domain of automotive manufacturing. Furthermore, we examine the scalability and the data security of PenChain for precision agriculture.

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“…Mubeen et al 2017), provide formalisms to define generic constructs like metrics, SLIs and SLOs, classification systems (cf. Engel et al 2018), inclusion/exclusion rules, penalties/rewards (cf. García et al 2017;Muller et al 2018), etc.…”

Section: Complexity Of Bilateral Slas In Large Business Engagementsmentioning

confidence: 99%

“…However, due to the large sizes of the engagements between companies A and C i as well as A and P, respectively, the corresponding SLAs in all of the aforementioned business engagements are the result of extensive negotiations during contract closure, and are correspondingly complex. Consequently, A employs a dedicated SLA management system using some modern SLA formalism from current literature (e.g., L-USDL or ysla; García et al 2017;Engel et al 2018) for management and monitoring of these SLAs. In particular, the custom SLAs reflect the specific notions of incident severity 1 for each of the customers C i and at P:…”

Section: Scenario 1: Large Outsourced It Service Management Providermentioning

confidence: 99%

See 1 more Smart Citation

SLA-aware operational efficiency in AI-enabled service chains: challenges ahead

Engel

Fernández

Ruiz–Cortés

et al. 2022

Inf Syst E-Bus Manage

Self Cite

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Service providers compose services in service chains that require deep integration of core operational information systems across organizations. Additionally, advanced analytics inform data-driven decision-making in corresponding AI-ena-bled business processes in today's complex environments. However, individual partner engagements with service consumers and providers often entail individu-ally negotiated, highly customized Service Level Agreements (SLAs) comprising engagement-specific metrics that semantically differ from general KPIs utilized on a broader operational (i.e., cross-client) level. Furthermore, the number of unique SLAs to be managed increases with the size of such service chains. The resulting complexity pushes large organizations to employ dedicated SLA management sys-tems, but such 'siloed' approaches make it difficult to leverage insights from SLA evaluations and predictions for decision-making in core business processes, and vice versa. Consequently, simultaneous optimization for both global operational process efficiency and engagement-specific SLA compliance is hampered. To address these shortcomings, we propose our vision of supplying online, AI-supported SLA analyt-ics to data-driven, intelligent core workflows of the enterprise and discuss current research challenges arising from this vision. Exemplified by two scenarios derived from real use cases in industry and public administration, we demonstrate the need for improved semantic alignment of heavily customized SLAs with AI-enabled operational systems. Moreover, we discuss specific challenges of prescriptive SLA analytics under multi-engagement SLA awareness and how the dual role of AI in such scenarios demands bidirectional data exchange between operational processes and SLA management. Finally, we discuss the implications of federating AI-sup-ported SLA analytics across organizations.

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ysla: Reusable and Configurable SLAs for Large-Scale SLA Management

Cited by 8 publications

References 15 publications

A systematic review of in-memory database over multi-tenancy

A systematic review of in-memory database over multi-tenancy

PenChain: A Blockchain-Based Platform for Penalty-Aware Service Provisioning

SLA-aware operational efficiency in AI-enabled service chains: challenges ahead

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