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Author

Alexandru-Florian Antonescu

Bio: Alexandru-Florian Antonescu is an academic researcher from University of Bern. The author has contributed to research in topics: Cloud computing & Provisioning. The author has an hindex of 10, co-authored 18 publications receiving 226 citations.

Papers
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Proceedings ArticleDOI
27 May 2013
TL;DR: A comprehensive SLA management solution is proposed that uses event processing for monitoring and enables dynamic provisioning of virtual machines onto the physical infrastructure and a forecasting model for determining the best virtual machine-to-host allocation.
Abstract: Cost-efficient operation while satisfying performance and availability guarantees in Service Level Agreements (SLAs) is a challenge for Cloud Computing, as these are potentially conflicting objectives. We present a framework for SLA management based on multi-objective optimization. The framework features a forecasting model for determining the best virtual machine-to-host allocation given the need to minimize SLA violations, energy consumption and resource wasting. A comprehensive SLA management solution is proposed that uses event processing for monitoring and enables dynamic provisioning of virtual machines onto the physical infrastructure. We validated our implementation against serveral standard heuristics and were able to show that our approach is significantly better.

38 citations

Proceedings ArticleDOI
03 Dec 2012
TL;DR: The viability and benefits of this architectural approach are compared against simpler strategies, to establish technical and business cases for the associated engineering effort.
Abstract: This paper describes a specification language and architecture for managing distributed software and mapped compute, storage and network infrastructure services dynamically, beyond the state of the art in cloud computing. This is referred to as dynamic application topology orchestration, where the mapping and configuration of distributed, interconnected, interdependent application services and infrastructure resources are dynamically adjusted, according to guarantees in Service Level Agreements (SLAs) and operational constraints. The viability and benefits of this architectural approach are compared against simpler strategies, to establish technical and business cases for the associated engineering effort.

29 citations

Proceedings ArticleDOI
05 May 2014
TL;DR: The survey suggests that there is still a lot of heterogeneity in IoT technologies, but first indications of the use of standardized protocols exist, and participants still see many obstacles which hinder the widespread use of semantic technologies.
Abstract: This paper presents a survey on the usage, opportunities and pitfalls of semantic technologies in the Internet of Things. The survey was conducted in the context of a semantic enterprise integration platform. In total we surveyed sixty-one individuals from industry and academia on their views and current usage of IoT technologies in general, and semantic technologies in particular. Our semantic enterprise integration platform aims for interoperability at a service level, as well as at a protocol level. Therefore, also questions regarding the use of application layer protocols, network layer protocols and management protocols were integrated into the survey. The survey suggests that there is still a lot of heterogeneity in IoT technologies, but first indications of the use of standardized protocols exist. Semantic technologies are being recognized as of potential use, mainly in the management of things and services. Nonetheless, the participants still see many obstacles which hinder the widespread use of semantic technologies: Firstly, a lack of training as traditional embedded programmers are not well aware of semantic technologies. Secondly, a lack of standardization in ontologies, which would enable interoperability and thirdly, a lack of good tooling support.

28 citations

Journal ArticleDOI
TL;DR: This work presents two novel VM-scaling algorithms focused on dEIS systems, which optimally detect most appropriate scaling conditions using performance-models of distributed applications derived from constant-workload benchmarks, together with SLA-specified performance constraints.

27 citations

Proceedings ArticleDOI
05 May 2014
TL;DR: This work introduces a system for controlling the complexity of scaling applications composed of multiple services using mechanisms based on fulfillment of SLAs, and shows how discovering correlations between application performance indicators can be used as a basis for creating refined service level objectives.
Abstract: Recent advancements in cloud computing have enabled the proliferation of distributed applications, which require management and control of multiple services. However, without an efficient mechanism for scaling services in response to changing environmental conditions and number of users, application performance might suffer, leading to Service Level Agreement (SLA) violations and inefficient use of hardware resources. We introduce a system for controlling the complexity of scaling applications composed of multiple services using mechanisms based on fulfillment of SLAs. We present how service monitoring information can be used in conjunction with service level objectives, predictions, and correlations between performance indicators for optimizing the allocation of services belonging to distributed applications. We validate our models using experiments and simulations involving a distributed enterprise information system. We show how discovering correlations between application performance indicators can be used as a basis for creating refined service level objectives, which can then be used for scaling the application and improving the overall application's performance under similar conditions.

14 citations


Cited by
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911 citations

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286 citations

Journal ArticleDOI
TL;DR: This paper proposes an admission control and scheduling mechanism which not only maximizes the resource utilization and profit, but also ensures that the QoS requirements of users are met as specified in SLAs.

209 citations

Journal ArticleDOI
TL;DR: A taxonomy for application prediction models is presented that investigates main characteristics and challenges of the different models and discusses open research issues and future trends of the application prediction.

168 citations

Journal ArticleDOI
TL;DR: Investigating the intellectual structure and trends of KM in Industry 4.0 and its consequences reveals six clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge.
Abstract: Due to increased competitive pressure, modern organizations tend to rely on knowledge and its exploitation to sustain a long-term advantage. This calls for a precise understanding of knowledge management (KM) processes and, specifically, how knowledge is created, shared/transferred, acquired, stored/retrieved, and applied throughout an organizational system. However, since the beginning of the new millennium, such KM processes have been deeply affected and molded by the advent of the fourth industrial revolution, also called Industry 4.0, which involves the interconnectedness of machines and their ability to learn and share data autonomously. For this reason, the present article investigates the intellectual structure and trends of KM in Industry 4.0. Bibliometric analysis and a systematic literature review are conducted on a total of 90 relevant articles. The results reveal six clusters of keywords, subsequently explored via a systematic literature review to identify potential stream of this emergent field and future research avenues capable of producing meaningful advances in managerial knowledge of Industry 4.0 and its consequences.

152 citations