Approaches for Future Internet architecture design and Quality of Experience (QoE) Control

Researching a Future Internet capable of overcoming the current Internet limitations is a strategic investment. In this respect, this paper presents some concepts that can contribute to provide some guidelines to overcome the above-mentioned limitations. In the authors' vision, a key Future Internet target is to allow applications to transparently, efficiently and flexibly exploit the available network resources with the aim to match the users' expectations. Such expectations could be expressed in terms of a properly defined Quality of Experience (QoE). In this respect, this paper provides some approaches for coping with the QoE provision problem

Cross-layer design of multi-hop wireless networks

MULTI -hop wireless networks are usually defined as a collection of nodes equipped with radio transmitters, which not only have the capability to communicate each other in a multi-hop fashion, but also to route each others’ data packets. The distributed nature of such networks makes them suitable for a variety of applications where there are no assumed reliable central entities, or controllers, and may significantly improve the scalability issues of conventional single-hop wireless networks. This Ph.D. dissertation mainly investigates two aspects of the research issues related to the efficient multi-hop wireless networks design, namely: (a) network protocols and (b) network management, both in cross-layer design paradigms to ensure the notion of service quality, such as quality of service (QoS) in wireless mesh networks (WMNs) for backhaul applications and quality of information (QoI) in wireless sensor networks (WSNs) for sensing tasks. Throughout the presentation of this Ph.D. dissertation, different network settings are used as illustrative examples, however the proposed algorithms, methodologies, protocols, and models are not restricted in the considered networks, but rather have wide applicability. First, this dissertation proposes a cross-layer design framework integrating a distributed proportional-fair scheduler and a QoS routing algorithm, while using WMNs as an illustrative example. The proposed approach has significant performance gain compared with other network protocols. Second, this dissertation proposes a generic admission control methodology for any packet network, wired and wireless, by modeling the network as a black box, and using a generic mathematical 0. Abstract 3 function and Taylor expansion to capture the admission impact. Third, this dissertation further enhances the previous designs by proposing a negotiation process, to bridge the applications’ service quality demands and the resource management, while using WSNs as an illustrative example. This approach allows the negotiation among different service classes and WSN resource allocations to reach the optimal operational status. Finally, the guarantees of the service quality are extended to the environment of multiple, disconnected, mobile subnetworks, where the question of how to maintain communications using dynamically controlled, unmanned data ferries is investigated

Multi-agent quality of experience control

In the framework of the Future Internet, the aim of the Quality of Experience (QoE) Control functionalities is to track the personalized desired QoE level of the applications. The paper proposes to perform such a task by dynamically selecting the most appropriate Classes of Service (among the ones supported by the network), this selection being driven by a novel heuristic Multi-Agent Reinforcement Learning (MARL) algorithm. The paper shows that such an approach offers the opportunity to cope with some practical implementation problems: in particular, it allows to face the so-called “curse of dimensionality” of MARL algorithms, thus achieving satisfactory performance results even in the presence of several hundreds of Agents

Service Migration from Cloud to Multi-tier Fog Nodes for Multimedia Dissemination with QoE Support.

A wide range of multimedia services is expected to be offered for mobile users via various wireless access networks. Even the integration of Cloud Computing in such networks does not support an adequate Quality of Experience (QoE) in areas with high demands for multimedia contents. Fog computing has been conceptualized to facilitate the deployment of new services that cloud computing cannot provide, particularly those demanding QoE guarantees. These services are provided using fog nodes located at the network edge, which is capable of virtualizing their functions/applications. Service migration from the cloud to fog nodes can be actuated by request patterns and the timing issues. To the best of our knowledge, existing works on fog computing focus on architecture and fog node deployment issues. In this article, we describe the operational impacts and benefits associated with service migration from the cloud to multi-tier fog computing for video distribution with QoE support. Besides that, we perform the evaluation of such service migration of video services. Finally, we present potential research challenges and trends

Promoting the Readiness of Minors in Supplemental Security Income (PROMISE) [CFDA 84.418P]

Over the past two decades, New York State (NYS) has been actively and collaboratively engaged in systems change across three primary domains: 1) to develop a comprehensive employment system to reduce barriers to work and improve employment outcomes of individuals with disabilities; 2) to enhance the post-school adult outcomes of youth with disabilities, by collaboratively advancing evidence-based secondary transition practices at the regional, school district and individual student levels; and, 3) to support the return-to-work efforts of individuals with disabilities who receive Social Security Administration (SSA) disability benefits under the Supplemental Security Income (SSI) program and Social Security Disability Insurance (SSDI). These domains have been supported by numerous federal and state initiatives including: the US Department of Education’s Office of Special Education and Rehabilitation Services (OSERS)-sponsored Transition Systems Change grant; the SSA-sponsored State Partnership Initiative (NYWORKS); two Youth Transition Demonstrations (YTD); the Benefits Offset National Demonstration (BOND); and, three cycles of funding for the National Work Incentives Support Center (WISC); the US Department of Labor (DOL)-sponsored Work Incentive Grant, Disability Program Navigator Initiative, and Disability Employment Initiative; three rounds of funding from the Center for Medicaid and Medicare Services (CMS) for Medicaid Infrastructure Grants (MIG, NY Makes Work Pay); the NYS Education Department (NYSED) sponsored Model Transition Program (MTP); and three multi-year cycles of the statewide Transition Coordination Site network. Most recently, NYS has sponsored the Statewide Transition Services Professional Development Support Center (PDSC); the NYS Developmental Disability Planning Council (DDPC)-sponsored Transition Technical Assistance Support Program (T-TASP), NYS Work Incentives Support Center (NYS WISC), and NYS Partners in Policy Making (PIP); the NYS Office of Mental Health (OMH)-sponsored Career Development Initiative; and others. The growing statewide and gubernatorial emphasis on employment for New Yorkers with disabilities developed over the past two decades stemming from these initiatives, supported by service innovations and shared vision across state agencies and employment stakeholders, establishes a strong foundation for implementing and sustaining a research demonstration to “Promote the Readiness of Minors in Supplemental Security Income” (PROMISE). The NYS PROMISE will build upon NYS’ past successes and significantly support NYS in removing systems, policy and practice barriers for transition-age youth who receive SSI and their families. The NYS OMH through the Research Foundation for Mental Hygiene (RFMH), with their management partners the New York Employment Support System (NYESS) Statewide Coordinating Council (SCC) and Cornell University Employment and Disability Institute, along with the proposed research demonstration site community, join the NYS Governor’s Office in designing and implementing a series of statewide strategic service interventions to support the transition and employment preparation of youth ages 14-16 who receive SSI