Browsing ODA Open Digital Archive by Author "Khan, Akif Quddus"
Now showing items 1-9 of 9
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Big data workflows: Locality-aware orchestration using software containers
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir H.; Roman, Dumitru (Sensors;Volume 21 / Issue 24, Peer reviewed; Journal article, 2021-12-08)The emergence of the Edge computing paradigm has shifted data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructures. Therefore, data processing solutions must consider ... -
Cloud storage cost: a taxonomy and survey
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)Cloud service providers offer application providers with virtually infinite storage and computing resources, while providing cost-efficiency and various other quality of service (QoS) properties through a storage-as-a-service ... -
Cloud storage tier optimization through storage object classification
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)Cloud storage adoption has increased over the years given the high demand for fast processing, low access latency, and ever-increasing amount of data being generated by, e.g., Internet of Things applications. In order to ... -
Conceptualization and scalable execution of big data workflows using domain-specific languages and software containers
Nikolov, Nikolay; Dessalk, Yared Dejene; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (Internet of Things;Volume 16, December 2021, 100440, Peer reviewed; Journal article, 2021-11-26)Big Data processing, especially with the increasing proliferation of Internet of Things (IoT) technologies and convergence of IoT, edge and cloud computing technologies, involves handling massive and complex data sets on ... -
Cost modelling and optimisation for cloud: a graph-based approach
Khan, Akif Quddus; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Peer reviewed; Journal article, 2024)Cloud computing has become popular among individuals and enterprises due to its convenience, scalability, and flexibility. However, a major concern for many cloud service users is the rising cost of cloud resources. Since ... -
Locality-Aware Workflow Orchestration for Big Data
Corodescu, Andrei-Alin; Nikolov, Nikolay; Khan, Akif Quddus; Soylu, Ahmet; Matskin, Mihhail; Payberah, Amir; Roman, Dumitru (MEDES: Management of Emergent Digital EcoSystems;MEDES '21: Proceedings of the 13th International Conference on Management of Digital EcoSystems, Conference object, 2021-11-09)The development of the Edge computing paradigm shifts data processing from centralised infrastructures to heterogeneous and geographically distributed infrastructure. Such a paradigm requires data processing solutions that ... -
Smart Data Placement Using Storage-as-a-Service Model for Big Data Pipelines
Khan, Akif Quddus; Nikolov, Nikolay; Matskin, Minhail; Prodan, Radu; Roman, Dumitru; Sahin, Bekir; Bussler, Christoph; Soylu, Ahmet (Peer reviewed; Journal article, 2023) -
A Taxonomy for Cloud Storage Cost
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Communications in Computer and Information Science (CCIS);, Chapter; Peer reviewed; Conference object; Journal article, 2024)The cost of using cloud storage services is complex and often an unclear structure, while it is one of the important factors for organisations adopting cloud storage. Furthermore, organisations take advantage of multi-cloud ... -
Towards Cloud Storage Tier Optimization with Rule-Based Classification
Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Bussler, Christoph; Roman, Dumitru; Soylu, Ahmet (Chapter; Peer reviewed; Conference object; Journal article, 2023)Cloud storage adoption has increased over the years as more and more data has been produced with particularly high demand for fast processing and low latency. To meet the users’ demands and to provide a cost-effective ...