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Department of Informatics & Telematics, Harokopio University of Athens, 9, Omirou Str. 177 78, Tavros, Greece
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4 Papers

Functionalities, Challenges and Enablers for a Generalized FaaS based Architecture as the Realizer of Cloud/Edge Continuum Interplay

Topics: Service-Oriented Architecture; Service Platforms; Cloud Management Platforms; Edge Cloud Orchestration; Cloud Computing Architecture; Cloud Middleware Frameworks; Cloud Services; Multi-Cloud Solutions Enablement; Cloud Management and Operations; Function-as-a-Service and Serverless Computing ; Container Composition and Orchestration

Authors: George Kousiouris 1 and Dimosthenis Kyriazis 2

Affiliations: 1 Department of Informatics & Telematics, Harokopio University of Athens, 9, Omirou Str. 177 78, Tavros, Greece , 2 Department of Digital Systems, University of Piraeus, Karaoli & A. Dimitriou 80, 18534 Piraeus, Greece

Digital Object Identifier: 10.5220/0010412101990206

Proceedings of CLOSER 2021, ISBN: 978-989-758-510-4

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The availability of decentralized edge computing locations as well as their combination with more centralized Cloud solutions enables the investigation of various trade-offs for application component placement in order to optimize application behaviour and resource usage. In this paper, the goal is to investigate key functionalities and operations needed by a middleware layer so that it can serve as a generalized architectural and computing framework in the implementation of a Cloud/Edge computing continuum. As a primary candidate, FaaS frameworks are taken under consideration, given their significant benefits such as flexibility in execution, maturity of the underlying tools, event driven nature and enablement of incorporation of arbitrary and legacy application components triggered by diverse actions and rules. Related work, gaps and enablers for three different layers (application design and implementation, semantically enriched runtime adaptation/configuration and deployment optimization) are highlighted. These aid in detecting necessary building blocks of a proposed generalized architecture in order to enclose the needed functionalities, covering aspects such as diverse service environments and links with the underlying platforms for orchestration, dynamic configuration, deployment and operation.

Mapping of Quality of Service Requirements to Resource Demands for IaaS

Topics: Cloud Application Scalability and Availability; Cloud Applications Performance and Monitoring; Cloud Services; Cloud Quality and Performance

Authors: Ioannis Bouras 1 , Fotis Aisopos 1 , John Violos 1 , George Kousiouris 1 , Alexandros Psychas 1 , Theodora Varvarigou 1 , Gerasimos Xydas 2 , Dimitrios Charilas 2 and Yiannis Stavroulas 2

Affiliations: 1 Dept. of Electrical and Computer Engineering, NTUA, 9 Heroon Polytechniou Str, 15773 Athens and Greece , 2 Cognity S.A., 42 Kifissias Av., 15125 Marousi, Athens and Greece

Digital Object Identifier: 10.5220/0007676902630270

Proceedings of CLOSER 2019, ISBN: 978-989-758-365-0

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Deciding and reserving appropriate resources in the Cloud, is a basic initial step for adopters when employing an Infrastructure as a Service to host their application. However, the size and number of Virtual Machines used, along with the expected application workload, will highly influence its operation, in terms of the observed Quality of Service. This paper proposes a machine learning approach, based on Artificial Neural Networks, for mapping Quality of Service required levels and (expected) application workload to concrete resource demands. The presented solution is evaluated through a comercial Customer Relationship Management application, generating a training set of realistic workload and Quality of Service measurements in order to illustrate the effectiveness of the proposed technique in a real-world scenario.

A Multi-Cloud Framework for Measuring and Describing Performance Aspects of Cloud Services Across Different Application Types

Authors: G. Kousiouris 1 , G. Giammatteo 2 , A. Evangelinou 1 , N. Galante 2 , E. Kevani 1 , C. Stampoltas 1 , A. Menychtas 1 , A. Kopaneli 1 , K. Ramasamy Balraj 2 , D. Kyriazis 1 , T. Varvarigou 1 , P. Stuer 3 and L. Orue-Echevarria Arrieta 3

Affiliations: 1 NTUA, Greece , 2 Engineering Ingegneria Informatica S.p.A., Italy , 3 TECNALIA, Italy

Digital Object Identifier: 10.5220/0004975407140721

Proceedings of MultiCloud 2014/CLOSER, ISBN: 978-989-758-019-2

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Cloud services have emerged as an innovative IT provisioning model in the recent years. However, after their usage severe considerations have emerged with regard to their varying performance due to multitenancy and resource sharing issues. These issues make it very difficult to provide any kind of performance estimation during application design or deployment time. The aim of this paper is to present a mechanism and process for measuring the performance of various Cloud services and describing this information in machine understandable format. The framework is responsible for organizing the execution and can support multiple Cloud providers. Furthermore we present approaches for measuring service performance with the usage of specialized metrics for ranking the services according to a weighted combination of cost, performance and workload.

Key Completion Indicators - Minimizing the Effect of DoS Attacks on Elastic Cloud-based Applications Based on Application-level Markov Chain Checkpoints

Topics: Cloud Risk, Challenges, and Governance; Monitoring of Services, Quality of Service, Service Level Agreements; Service Monitoring and Control; Services Security and Reliability; Cloud Economics; Security, Privacy, and Compliance Management

Author: George Kousiouris

Affiliation: National Technical University of Athens, Greece

Digital Object Identifier: 10.5220/0004963006220628

Proceedings of CLOSER 2014, ISBN: 978-989-758-019-2

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The problem of DoS attacks has significant effects for any computing system available through the public domain. In the case of Clouds, it becomes even more critical since elasticity policies tied with metrics like Key Performance Indicators (KPIs) can lead a Cloud adopter to significant monetary losses. DoS attacks increase the KPIs, which in turn trigger the elastic increase of resources but without financial benefit for the owner of the cloud-enabled application (Economic Denial of Sustainability). Given the numerous scenarios of DoS attacks and the nature of services computing (in many cases involving legitimate automated traffic requests and bursts), networking mitigation approaches may not be sufficient. In this paper, the concept of Key Completion Indicators (KCIs) is provided and an analysis framework based on a probabilistic approach is proposed that can be applied on the application layer in cloud-deployed applications and elasticity policies, in order to avoid the aforementioned situation. KCIs indicate the level of completeness and provided revenue of the requests made towards a publicly available service and together with the KPIs can lead to a safer result with regard to elasticity. An initial architecture of this DoS Identification as a Service is portrayed.
Collapse Button Related Ontology Subjects/Areas/Topics (11)
Cloud Computing

Fundamentals

Service Monitoring and Control

Cloud Computing Enabling Technology

Monitoring of Services, Quality of Service, Service Level Agreements

Services Science

Cloud Economics

Platforms and Applications

Services Security and Reliability
Cloud Risk, Challenges, and Governance

Security, Privacy, and Compliance Management

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