SLA Information Management through Dependency Digraphs: The Case of Cloud Data Services

Stamou, Katerina; Kantere, Verena; Morin, Jean‐Henry; Georgiou, Michael A.

doi:10.1109/hicss.2014.618

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…SLA management operations (real-time monitoring, measurement, auditing, value computation). 46 However, current specifications and tools for SLA management are still inappropriate to big services. One way, to express the provisioning terms, is to aggregate the SLAs of big services' components by taking into consideration the big service' workflow structure and choreography.…”

Section: Big Service Management Approachesmentioning

confidence: 99%

“…Some researchers have proposed SLA graph models for data services, 45 while others have mapped SLA components to data attributes (accessibility, integrity, cleanness, accuracy, heterogeneity, ownership, authenticity, volume, velocity rate, replication and staging, service dependencies) w.r.t. SLA management operations (real‐time monitoring, measurement, auditing, value computation) 46 . However, current specifications and tools for SLA management are still inappropriate to big services.…”

Section: Related Workmentioning

confidence: 99%

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Autonomic computing and incremental learning for the management of big services

Ghedass

Charrada

2023

Softw Pract Exp

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Recent years have witnessed the emergence of big services, as a large‐scale big data‐centric service model, that resulted from the synergy between powerful computing paradigms (big data processing, service and cloud computing, Internet of Things, etc.). Big services are seen as a heterogeneous combination of physical and virtualized domain‐specific resources, with a huge volume of data and complex functionalities, all encapsulated and offered as services. This complexity of big services (composition units' heterogeneity, cross‐domain orientation, data massiveness), coupled with other environmental factors (cloud dynamicity, providers' policies, customer requirements) makes their management tasks beyond humans' capability. Therefore, endowing big service ecosystems with self‐adaptive behavior is a natural solution. To achieve this goal, this article models big services as autonomic computing systems, and structures their behavioral aspects (functional behavior, quality of service/data levels, management policies) as a multi‐view knowledge graph. To infer useful knowledge (e.g., conflicts between policies) for the autonomic big service's management tasks, we process the big service's knowledge graph (BSKG) via a graph neural network‐based graph embedding model. This latter is reinforced by an incremental learning method, that helps capturing the big services' frequent changes (e.g., QoS deviations, service failures, new policies), and drives autonomic managers to continuously update and enrich their knowledge w.r.t. the managed big service's current state. Finally, a flexible decision mechanism explores the BSKG structure and the latent knowledge, to locate and trigger the appropriate management policies, according to the big service's produced events.

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Section: Big Service Management Approachesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Autonomic computing and incremental learning for the management of big services

Ghedass

Charrada

2023

Softw Pract Exp

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“…Stamou et al 2014). Rangkuman kajian terdahulu adalah berkaitan fasa perundingan PTP (sepertiAl-Aaidroos et al 2011;El-awadi & Abu-rizka 2015;Lee et al 2015), pelaksanaan dan pemantauan PTP (seperti Ibrahim, Kliazovich & Bouvry 2016; Khattak Jalal & U-Rehman 2015) serta pengurusan PTP (sepertiLourenço et al 2014).…”

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Parameter Penakrifan Perjanjian Tahap Perkhidmatan bagi Penggubalan Draf Kontrak Sistem Maklumat Sektor Awam

Wahab

Jambari

2018

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ABSTRAK Kejayaan projek secara penyumberluaran terletak pada pengurusan kontrak yang berkesan. Oleh itu, perkara ini telah diberi penekanan serius dalam pelaporan Ketua Audit Negara 2016 dan 2017. Pelaporan tersebut menyatakan kelemahan dalam pengurusan serta pengawalan kontrak teknologi maklumat dan komunikasi (TMK) sektor awam. Ia turut meliputi kontrak sistem maklumat (SM). Menurut laporan berkenaan juga, isu yang dikenal pasti adalah berkaitan dengan penakrifan perjanjian tahap perkhidmatan (PTP) yang tidak menyeluruh. Terdapat kajian lepas yang menyatakan penakrifan PTP adalah tidak lengkap kerana mengabaikan parameter PTP yang penting daripada perspektif penerima perkhidmatan. Justeru, kajian ini bertujuan mengenal pasti parameter penakrifan PTP penting yang diperlukan dalam kontrak SM sektor awam. Kajian dilaksanakan secara kajian kes kualitatif di agensi sektor awam yang melaksanakan kontrak penyumberluaran SM untuk menyokong bisnes terasnya. Matlamat kajian dicapai melalui penyenaraian 28 parameter penakrifan PTP yang diklasifikasikan kepada tujuh kategori dalam tiga dimensi penakrifan PTP. Perujukan kepada hasil kajian ini dijangka memberi faedah kepada sektor awam dalam penentuan parameter PTP untuk penggubalan draf kontrak SM yang komprehensif. Kata kunci: Parameter perjanjian tahap perkhidmatan; kontrak sistem maklumat; sektor awam ABSTRACT The success of an outsourced project is determined by the effectiveness of its contract management. The Malaysian Auditor General's Report 2016 and 2017 have highlighted that there are weaknesses in the management and enforcement of the Information Systems (IS) contract in public sector. One of the issues reported is the incomprehensive definition of the Service Level Agreement (SLA) due to the minimal emphasis to include service receivers perspective in defining the agreement. Hence, this study attempts to identify the parameters required to properly define the SLA for public sector IS. A qualitative case study of a public sector agency that utilises IS outsourcing contract to support its core business is applied. 28 parameters have been idenitified to define the SLA which are classified into seven categories according to three dimensions. The finding of this study is expected to benefit the public sector in defining the SLA parameters for drafting a comprehensive IS contract.

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