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  1. No Access

    Chapter

    Deep Reinforcement Learning (DRL)-Based Methods for Serverless Stream Processing Engines: A Vision, Architectural Elements, and Future Directions

    Streaming applications are becoming widespread across an extensive range of business domains as an increasing number of sources continuously produce data that need to be processed and analysed in real time. Mo...

    Maria R. Read, Chinmaya Dehury in Resource Management in Distributed Systems (2024)

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    Article

    Quality of experience aware recommendation system with IoT data filtration for handshaking among users using MQTT-SN protocol

    Programmable embedded systems are operated manually via wireless sensor networks (WSN), eventually known as the internet of things or IoT. IoT devices are becoming suitable supplementary of human knowledge thr...

    Deepsubhra Guha Roy, Bipasha Mahato in Journal of Ambient Intelligence and Humani… (2023)

  3. No Access

    Article

    iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning

    The constrained application protocol (CoAP) is an application layer protocol in IoT, with underlying support for congestion control mechanism. It minimizes the frequent retransmissions, but does not optimize t...

    Praveen Kumar Donta, Satish Narayana Srirama in Journal of Ambient Intelligence and Humani… (2023)

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    Chapter

    Serverless Data Pipelines for IoT Data Analytics: A Cloud Vendors Perspective and Solutions

    Advancements in Internet and Telecommunications (ICT) accelerated the large-scale deployments of IoT applications including smart city, smart healthcare, and smart factory aiming for faster data processing. Th...

    Shivananda Poojara, Chinmaya Kumar Dehury in Predictive Analytics in Cloud, Fog, and Ed… (2023)

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    Chapter

    A Strategy for Advancing Research and Impact in New Computing Paradigms

    In the domain of information technology, new paradigms, technologies, development approaches, and application scenarios continue to emerge rapidly presenting new opportunities for researchers to pursue. Emergi...

    Rajkumar Buyya, Sukhpal Singh Gill, Satish Narayana Srirama in Green Mobile Cloud Computing (2022)

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    Book and Conference Proceedings

    Big Data Analytics

    9th International Conference, BDA 2021, Virtual Event, December 15-18, 2021, Proceedings

    Satish Narayana Srirama, Prof. Dr. Jerry Chun-Wei Lin in Lecture Notes in Computer Science (2021)

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    Chapter and Conference Paper

    Fog Enabled Distributed Training Architecture for Federated Learning

    The amount of data being produced at every epoch of second is increasing every moment. Various sensors, cameras and smart gadgets produce continuous data throughout its installation. Processing and analyzing r...

    Aditya Kumar, Satish Narayana Srirama in Big Data Analytics (2021)

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    Chapter and Conference Paper

    Data Pipeline Architecture for Serverless Platform

    To provide cost effective cloud resources with high QoS, serverless platform is introduced that allows to pay for the exact amount of resource usage. On the other hand, a number of data management tools are de...

    Chinmaya Dehury, Pelle Jakovits, Satish Narayana Srirama in Software Architecture (2020)

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    Article

    Practical Implementation of Femtolet Based Peer-to-Peer Network

    Energy and latency aware code offloading is a demanding research area for nowadays. In this paper, for the first time we have successfully implemented the prototype of femtolet for fifth generation mobile netw...

    Deepsubhra Guha Roy, Anwesha Mukherjee, Debashis De in Wireless Personal Communications (2019)

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    Reference Work Entry In depth

    Mobile Big Data: Foundations, State of the Art, and Future Directions

    Emerging ubiquitous mobile services and applications have unveiled the Mobile Big Data era in which the large volumes of data derived from mobile Internet traffics become valuable sources to support various pe...

    Chii Chang, Amnir Hadachi, Satish Narayana Srirama in Encyclopedia of Big Data Technologies (2019)

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    Article

    Framework for automated partitioning and execution of scientific workflows in the cloud

    Scientific workflows have become a standardized way for scientists to represent a set of tasks to overcome/solve a certain scientific problem. Usually these workflows consist of numerous CPU and I/O-intensive ...

    Jaagup Viil, Satish Narayana Srirama in The Journal of Supercomputing (2018)

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    Living Reference Work Entry In depth

    Mobile Big Data: Foundations, State of the Art, and Future Directions

    Emerging ubiquitous mobile services and applications have unveiled the Mobile Big Data era in which the large volumes of data derived from mobile Internet traffics become valuable sources to support various pe...

    Chii Chang, Amnir Hadachi, Satish Narayana Srirama in Encyclopedia of Big Data Technologies

  13. No Access

    Chapter and Conference Paper

    Providing Context as a Service Using Service-Oriented Mobile Indie Fog and Opportunistic Computing

    The increasing number of sensor-embedded mobile devices has motivated the research of mobile Sensing as a Service in which mobile devices can host Web servers to serve sensory data to the Internet of Things sy...

    Chii Chang, Satish Narayana Srirama in Software Architecture (2018)

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    Article

    Dynamic algorithm modeling application for comparing distributed computing frameworks

    Scientific computing applies computational methods to solve problems in different scientific fields. It is associated with high performance computing and parallel programming fields as it typically requires la...

    Pelle Jakovits, Satish Narayana Srirama in CSI Transactions on ICT (2017)

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    Article

    Mobile web and cloud services enabling Internet of Things

    The Internet of Things (IoT) represents a comprehensive environment that consists of a large number of sensors and mediators interconnecting heterogeneous physical objects to the Internet. IoT applications are...

    Satish Narayana Srirama in CSI Transactions on ICT (2017)

  16. No Access

    Chapter

    Mobile Web and Cloud Services

    The developments in the web services domain, the improved device capabilities of the smart phones, the increased transmission rates of the cellular networks and the ubiquity of the wifi networks have lead to t...

    Satish Narayana Srirama in Advanced Web Services (2014)

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    Article

    Social group formation with mobile cloud services

    Social networks have become quite popular these days, and the creation of social groups of people with common interests results in sharing and collaborative relationships between the members. Besides, cloud co...

    Satish Narayana Srirama, Carlos Paniagua in Service Oriented Computing and Applications (2012)

  18. Chapter and Conference Paper

    An Adaptive Mediation Framework for Mobile P2P Social Content Sharing

    Mobile Social Network in Proximity (MSNP) represents a new form of social network in which users are capable of interacting with their surroundings via their mobile devices in public mobile peer-to-peer (MP2P)...

    Chii Chang, Satish Narayana Srirama, Sea Ling in Service-Oriented Computing (2012)

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    Chapter and Conference Paper

    Automated Statistical Approach for Memory Leak Detection: Case Studies

    Applications written in JavaTM language, and in other programming languages running on JavaTM Virtual Machine (JVM) are widely used in cloud environments. Although JVM features garbage collection, memory leaks ca...

    Vladimir Šor, Nikita Salnikov-Tarnovski in On the Move to Meaningful Internet Systems… (2011)

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    Chapter and Conference Paper

    Mobile Social Software for Cultural Heritage Management

    In the past several years, the World Wide Web has experienced a new era, in which user communities are greatly involved and digital content explodes via the Internet. Community information systems have been hi...

    Yiwei Cao, Satish Narayana Srirama in On the Move to Meaningful Internet Systems… (2006)