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Today the cloud plays a central role in storing, processing, and distributing data. Despite contributing to the rapid development of IoT applications, the current IoT cloud-centric architecture has led into a myriad of isolated data silos…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-11-15 Hossein Shafagh , Lukas Burkhalter , Anwar Hithnawi , Simon Duquennoy

The excessive amounts of data generated by devices and Internet-based sources at a regular basis constitute, big data. This data can be processed and analyzed to develop useful applications for specific domains. Several mathematical and…

Distributed, Parallel, and Cluster Computing · Computer Science 2017-12-15 Samiya Khan , Kashish Ara Shakil , Mansaf Alam

For decades, database research has focused on optimizing performance under fixed resources. As more and more database applications move to the public cloud, we argue that it is time to make cost a first-class citizen when solving database…

Databases · Computer Science 2023-08-21 Huanchen Zhang , Yihao Liu , Jiaqi Yan

Management of data in education sector particularly management of data for big universities with several employees, departments and students is a very challenging task. There are also problems such as lack of proper funds and manpower for…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-01-29 Kashish Ara Shakil , Shuchi Sethi , Mansaf Alam

Cloud computing has been shown to be an essential enabling technology for public sector organizations PSOs and offers numerous potential benefits, including reduced information technology infrastructure costs, increased innovation…

Computers and Society · Computer Science 2026-01-13 Mark Theby

Sharing data from various sources and of diverse kinds, and fusing them together for sophisticated analytics and mash-up applications are emerging trends, and are prerequisites for grand visions such as that of cyber-physical systems…

Databases · Computer Science 2011-09-22 Dinh Tien Tuan Anh , Wang Wenqiang , Anwitaman Datta

As the complexity of enterprise systems increases, the need for monitoring and analyzing such systems also grows. A number of companies have built sophisticated monitoring tools that go far beyond simple resource utilization reports. For…

The advent of the digital age has led to a rise in different types of data with every passing day. In fact, it is expected that half of the total data will be on the cloud by 2016. This data is complex and needs to be stored, processed and…

Distributed, Parallel, and Cluster Computing · Computer Science 2015-08-20 Samiya Khan , Kashish Ara Shakil , Mansaf Alam

Cloud-native applications have significantly advanced the development and scalability of online services through the use of microservices and modular architectures. However, achieving adaptability, resilience, and efficient performance…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-09-30 Apostolos Angelis , George Kousiouris

Blockchain (BC) and Software Defined Networking (SDN) are some of the most prominent emerging technologies in recent research. These technologies provide security, integrity, as well as confidentiality in their respective applications.…

Geo-distributed data analytics are increasingly common to derive useful information in large organisations. Naive extension of existing cluster-scale data analytics systems to the scale of geo-distributed data centers faces unique…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-08 Xiaoda Zhang , Zhuzhong Qian , Sheng Zhang , Yize Li , Xiangbo Li , Xiaoliang Wang , Sanglu Lu

As users migrate their analytical workloads to cloud databases, it is becoming just as important to reduce monetary costs as it is to optimize query runtime. In the cloud, a query is billed based on either its compute time or the amount of…

Databases · Computer Science 2024-08-02 Tapan Srivastava , Raul Castro Fernandez

Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications, including data warehouses and on-line analytical processing. However, storing and…

Databases · Computer Science 2017-01-20 Varunya Attasena , Nouria Harbi , Jérôme Darmont

In recent years, the integration of artificial intelligence (AI) and cloud computing has emerged as a promising avenue for addressing the growing computational demands of AI applications. This paper presents a comprehensive study of…

Machine Learning · Computer Science 2023-04-28 Neelesh Mungoli

Cloud computing is a new computational paradigm that offers an innovative business model for organizations to adopt IT without upfront investment. Despite the potential gains achieved from the cloud computing, the model security is still…

Software Engineering · Computer Science 2016-09-06 Mohamed Almorsy , John Grundy , Ingo Müller

Cloud computing systems promise to offer subscription-oriented, enterprise-quality computing services to users worldwide. With the increased demand for delivering services to a large number of users, they need to offer differentiated…

Distributed, Parallel, and Cluster Computing · Computer Science 2016-11-18 Rajkumar Buyya , Saurabh Kumar Garg , Rodrigo N. Calheiros

As the use of autonomous robots expands in tasks that are complex and challenging to model, the demand for robust data-driven control methods that can certify safety and stability in uncertain conditions is increasing. However, the…

Cloud Computing has been envisioned as the next generation architecture of IT Enterprise. The Cloud computing concept offers dynamically scalable resources provisioned as a service over the Internet. Economic benefits are the main driver…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-11-01 Geethu Thomas , Prem Jose , P. Afsar

Although Cloud Computing promises to lower IT costs and increase users' productivity in everyday life, the unattractive aspect of this new technology is that the user no longer owns all the devices which process personal data. To lower…

Distributed, Parallel, and Cluster Computing · Computer Science 2013-10-28 Michael Eggert , Roger Häußling , Martin Henze , Lars Hermerschmidt , René Hummen , Daniel Kerpen , Antonio Navarro Pérez , Bernhard Rumpe , Dirk Thißen , Klaus Wehrle

The increasing adoption of low-cost environmental sensors and AI-enabled applications has accelerated the demand for scalable and resilient data infrastructures, particularly in data-scarce and resource-constrained regions. This paper…