| 1. |
- Bider, Ilia, et al.
(författare)
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Building a High-Level Process Model for Soliciting Requirements on Software Tools to Support Software Development : Experience Report
- 2013
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Ingår i: PoEM Short Papers. ; , s. 70-82
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Konferensbidrag (refereegranskat)abstract
- Use of software tools to support business processes is both a possibility and necessity for both large and small enterprises of today. Given the variety of tools on the market, the question of how to choose the right tools for the process in question or analyze the suitability of the tools already employed arises. The paper presents an experience report of using a high-level business process model for analyzing software tools suitability at a large ICT organization that recently transitioned to scrum-based project methodology of software development. The paper gives overview of the modeling method used, describes the organizational context, presents a model built, and discusses preliminary findings based on the analysis of the model.
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| 2. |
- Inam, Rafia, et al.
(författare)
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Feasibility Assessment to Realise Vehicle Teleoperation using Cellular Networks
- 2016
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Ingår i: Proceedings of the 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). - IEEE.
-
Konferensbidrag (refereegranskat)abstract
- Future cellular networks (5G) will be used for a diversity of use cases. Transportation is one domain where cellular networks can play a significant role not only in connecting autonomous vehicles to other vehicles, infrastructures, and people, but also in realizing vehicle teleoperation i.e., vehicle driven by an operator from a distance. In this paper, we assess the feasibility of using a cellular network to realise vehicle teleoperation. We identify the network requirements for a teleoperated vehicle use case in an urban environment using a test setup of an LTE network and simulations. Testbed measurements reveal that teleoperation use cases can be supported even with less than excellent signal strength. Through simulation we show that the testbed can scale to cover greater distances and support teleoperation
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| 3. |
- Inam, Rafia, et al.
(författare)
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Towards Automated Service-Oriented Lifecycle Management for 5G Networks
- 2015
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Ingår i: Proceedings of the 2015 IEEE Conference on Emerging Technologies & Factory Automation (ETFA).
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Konferensbidrag (refereegranskat)abstract
- 5G networks will be a key enabler for the Internet of Things by providing a platform to connect a massive number of devices with heterogeneous sets of network quality requirements. In this environment, 5G network operators will have to solve the complex challenge of managing network services for diverse customer sectors (such as automotive, health or energy) with different requirements throughout their lifecycle.In this paper, we present current state of our work on automating part of the network service lifecycle management using knowledge management- and decision support techniques. We also present our ongoing implementation steps for such management function in 5G networks.
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| 4. |
- Karapantelakis, Athanasios, 1982-, et al.
(författare)
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A Deep-Q Learning Approach to Mobile Operator Collaboration
- 2020
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Ingår i: Journal of Communications and Networks. - Seoul Korea. - 1229-2370 .- 1976-5541. ; 22:6, s. 455-466
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Tidskriftsartikel (refereegranskat)abstract
- Next-generation mobile connectivity services include a large number of devices distributed across vast geographical areas. Mobile network operators will need to collaborate to fulfill service requirements at scale. Existing approaches to multioperator services assume already-established collaborations to fulfill customer service demand with specific quality of service (QoS). In this paper, we propose an agent-based architecture, where establishment of collaboration for a given connectivity service is done proactively, given predictions about future service demand. We build a simulation environment and evaluate our approach with a number of scenarios and in context of a real-world use case, and compare it with existing collaboration approaches. Results show that by learning how to adapt their collaboration strategy, operators can fulfill a greater part of the service requirements than by providing the service independently, or through pre-established, intangible service level agreements.
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| 5. |
- Karapantelakis, Athanasios, et al.
(författare)
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Challenges for ICT Business Development in Intelligent Transport Systems
- 2017
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Ingår i: 2017 JOINT 13TH CTTE AND 10TH CMI CONFERENCE ON INTERNET OF THINGS - BUSINESS MODELS, USERS, AND NETWORKS. - : Institute of Electrical and Electronics Engineers (IEEE). - 9781538631973
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Konferensbidrag (refereegranskat)abstract
- Intelligent Transportation Systems (ITS) are a product of convergence of Information and Communication Technology (ICT) and transport industries, with an aim to improve safety, mobility and efficiency of transportation. Ubiquitous, fast and inexpensive wireless communication and increasing vehicle computation, storage and sensing capabilities, are technological enablers for ITS. Notwithstanding technological maturity, the real challenge rises from the change the ITS market brings to the business of ICT players, as development of ITS services requires cooperation of multiple actors across industries. For ICT players, this signifies a departure from rigid telecom-era business models to a more networked structure of collaboration with other players. In this paper, we identify key business challenges that ICT players face in ITS market, by analysis of two ITS use cases.
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| 6. |
- Karapantelakis, Athanasios, 1982-, et al.
(författare)
-
DevOps for IoT Applications using Cellular Networks and Cloud
- 2016
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Konferensbidrag (refereegranskat)abstract
- The Internet of Things (IoT) is a vision of a future society where an ever-increasing number of heterogeneous physical devices (“things”) obtain Internet connectivity, thus enabling a large number of applications for a broad range of industries and society at large. Mobile network operators, expected to provide the network infrastructure for many of these applications, face an unprecedented level of complexity. This complexity not only relates to the number of applications that share the network infrastructure, but also to the different network Quality of Service (QoS) requirements these application have. To achieve economies of scale, automation in management of those applications throughout their lifecycle is essential. In this paper, we propose an architecture that automates allocation, monitoring and deallocation of both cloud and cellular network resources to ensure QoS for applications that involve connected devices communicating with cloud-hosted software. We describe an implementation of this architecture using a combination of open source, commercial, and custom components and evaluate it through a series of measurements. Results show that our implementation can simultaneously support mobile broadband and low latency, high availability mission-critical applications.
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| 7. |
- Karapantelakis, Athanasios
(författare)
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Getting Personal : A Framework for Context-Aware Services and System Design for Contemporary Mobile Environments
- 2011
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Licentiatavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This study explores the subject of providing personalized services to mobile users, by exploiting relevant domain knowledge (i.e. contextual information). Although the process of gathering, modelling and processing of context has been extensively researched, there are only a few studies in the literature showing how such context can be effectively utilized to provide services valuable to the general public. Instead, there exist a multitude of examples of services targeted towards specialized audiences, either because the scope of each service is not of broad interest, or because of custom software and/or hardware requirements. Part of the reason why the scope of such services is so narrow can also be attributed to short service life cycle. While all such services offer relative value to interested audiences, we support that contemporary mainstream mobile devices are now more than ever capable of running large-scale context-aware applications as the required combination of hardware and software is available. This licentiate thesis challenges the current state-of-the art in context aware services by proposing an alternative perspective, driven from the appreciation of the user rather than from the ideas of a system designer. The potential impact of this work lies in the set of diverse applications which have been implemented using existing mainstream technology, targeting large and diverse sets of audiences. In order to realize the vision, we have implemented a context-aware system featuring a flexible architecture that is able to scale to the requirements of different services. In order to demonstrate the flexibility of this architecture as well as to prove the aforementioned claims, we have implemented support for two context aware services which have demonstratively had a large appeal to users. These scenarios not only include full implementation and exposure to public use, but they also differ from each other in terms of their functionality: A printing service where the printing resources are scattered within a workspace environment. The system selects the most appropriate printer for a mobile user to print his or her document on, based on the user's location and nature of the document relative to the capabilities of each of the printers. A recommender system service where mobile users are forwarded Web feeds of related interest, based on each user's social signature on the web (i.e. social context). The reader should note the tangible nature of context used in the services above, as context is not only associated - by tradition - with knowledge relative to physical stimuli (e.g. location), but is also related to information present on contemporary media such as the World Wide Web.
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| 8. |
- Karapantelakis, Athanasios, 1982-
(författare)
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Mobile Network Operator Collaboration using Deep Reinforcement Learning
- 2021
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Fifth Generation Mobile Networks (5G) are designed to offer connectivity services for new types of applications that not only address the needs of private individuals, but also those of enterprise customers. Network requirements of such applications often transcend the capabilities of a single Mobile Network Operator (MNO). In such cases, the ability of MNOs to collaborate in order to provide connectivity services is essential. Existing methods for establishing collaborations between MNOs are reactive in nature and are set up using a Business Support System (BSS) that involves human decision-making. In contrast, this dissertation presents a proactive approach, which, in addition to automating collaboration establishment, uses machine learning to predict future requirements for connectivity services, and dynamically optimizes resource allocation through selection of collaborating MNOs.The analysis begins by investigating the possibility for mobile networks to support the requirements of mission-critical enterprise applications. With assistance from an automotive industry partner, a remote vehicle driving application (teleoperation) was selected and the network's requirements were quantified in terms of throughput and latency. Existing Quality of Service (QoS) mechanisms in an already-deployed mobile network were used to set up the corresponding policies, and then the performance of the connectivity service was evaluated. The evaluation is conducted within the coverage area of a single radio base station and considered a single vehicle communicating with a remote driving station. The results show that it is possible even for the current generation of mobile networks to support this type of mission-critical application.Following this quantitative assessment, wider deployments of the teleoperation application were considered, when the application's network requirements could not always be served by a single MNO. This dissertation uses deep Reinforcement Learning (RL), to build models that predict future network requirements and proactively suggest an MNO collaboration that fulfills these requirements. Experiments are conducted using two different approaches. First, a single-agent approach, wherein decisions for collaborations are provided by the model of an MNO-independent agent. In this case, all MNO share the same fairness-based policy of willingness to collaborate as long as they equally split connectivity service provisioning with their counterparts. Second, a multi-agent approach, wherein every MNO has its own agent following its own policy enforcing the terms to collaborate with other MNO. Both approaches are compared against the current state of predetermined collaboration structures or reactive collaboration approaches based on current - and unpredicted - connectivity service(s). The proposed approach is shown to provide up to a two-fold improvement in connectivity service requirement coverage over the state of art. Another benefit is resource optimization, as MNOs' capabilities are better matched to connectivity service requirements. This resource optimization can contribute to a more sustainable growth of mobile network expansion. Finally, democratization of collaborations allows for new revenue streams for smaller MNO which do not have the capacity or resources to establish collaborations in the traditional way. Although a teleoperation application and MNO mobile networks are used for the evaluation, the method and findings are expected to be applicable to a broader range of applications across different types of wireless networks.
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| 9. |
- Karapantelakis, Athanasios, 1982-, et al.
(författare)
-
Mobile Operator Collaboration Using Cooperative Multi-Agent Deep Reinforcement Learning
-
Ingår i: IEEE Internet of Things Journal. - 2327-4662.
-
Tidskriftsartikel (refereegranskat)abstract
- Next generation mobile networks will provide connectivity services for an unprecedented number of mobile devices, used in industry-vertical applications with diverse network requirements as to throughput, latency, and geographical area of coverage. In order to satisfy these requirements at scale, collaboration between multiple operator is oftentimes essential. Current collaborations between network operators are long-term, reactive, and established with human involvement. The dynamic nature of mobile network traffic demands contradicts these collaborations’ rigid nature; thus, resulting in sub-optimal network resource allocation to connectivity service. In this work, we introduce an agent-based architecture for automating collaboration of mobile network operators based on predicted future demand. The architecture uses a multi-agent deep reinforcement learning algorithm, wherein every operator has its own agent suggesting future collaborations, which can change dynamically. Using simulation, we show that our approach outperforms the state of the art operator collaboration approaches and leads to more sustainable growth of mobile networks by reducing capital and operational expenses for mobile network operators.
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| 10. |
- Karapantelakis, Athanasios, et al.
(författare)
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Printing in Ubiquitous Computing Environments
- 2009
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Ingår i: UBIQUITOUS INTELLIGENCE AND COMPUTING, PROCEEDINGS. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783642028298 ; , s. 83-98
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Konferensbidrag (refereegranskat)abstract
- Document printing has long been considered an indispensable part of the workspace. While this process is considered trivial and simple for environments where resources are ample (e.g. desktop computers connected to printers within a corporate network), it becomes complicated when applied in a mobile context. Contemporary mobile devices have the computational resources required for document processing and are affordable enough for an increasingly large number of users. Therefore, document printing using mobile devices is now both technically feasible and relevant to users' needs. In this study, we present an infrastructure for document printing using mobile devices. In order to realize the vision, we utilize an existing set of network protocols, a set of common programming languages, standard concepts of ubiquitous computing, and machine learning, in order to automate the printing process.
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