17,552 research outputs found
Issues in designing transport layer multicast facilities
Multicasting denotes a facility in a communications system for providing efficient delivery from a message's source to some well-defined set of locations using a single logical address. While modem network hardware supports multidestination delivery, first generation Transport Layer protocols (e.g., the DoD Transmission Control Protocol (TCP) (15) and ISO TP-4 (41)) did not anticipate the changes over the past decade in underlying network hardware, transmission speeds, and communication patterns that have enabled and driven the interest in reliable multicast. Much recent research has focused on integrating the underlying hardware multicast capability with the reliable services of Transport Layer protocols. Here, we explore the communication issues surrounding the design of such a reliable multicast mechanism. Approaches and solutions from the literature are discussed, and four experimental Transport Layer protocols that incorporate reliable multicast are examined
Coopetition of software firms in Open source software ecosystems
Software firms participate in an ecosystem as a part of their innovation
strategy to extend value creation beyond the firms boundary. Participation in
an open and independent environment also implies the competition among firms
with similar business models and targeted markets. Hence, firms need to
consider potential opportunities and challenges upfront. This study explores
how software firms interact with others in OSS ecosystems from a coopetition
perspective. We performed a quantitative and qualitative analysis of three OSS
projects. Finding shows that software firms emphasize the co-creation of common
value and partly react to the potential competitiveness on OSS ecosystems. Six
themes about coopetition were identified, including spanning gatekeepers,
securing communication, open-core sourcing and filtering shared code. Our work
contributes to software engineering research with a rich description of
coopetition in OSS ecosystems. Moreover, we also come up with several
implications for software firms in pursing a harmony participation in OSS
ecosystems.Comment: This is the author's version of the work. Copyright owner's version
can be accessed at
https://link.springer.com/chapter/10.1007/978-3-319-69191-6_10, Coopetition
of software firms in Open source software ecosystems, 8th ICSOB 2017, Essen,
Germany (2017
Ontology (Science)
Increasingly, in data-intensive areas of the life sciences, experimental results are being described in algorithmically useful ways with the help of ontologies. Such ontologies are authored and maintained by scientists to support the retrieval, integration and analysis of their data. The proposition to be defended here is that ontologies of this type – the Gene Ontology (GO) being the most conspicuous example – are a _part of science_. Initial evidence for the truth of this proposition (which some will find self-evident) is the increasing recognition of the importance of empirically-based methods of evaluation to the ontology develop¬ment work being undertaken in support of scientific research. Ontologies created by scientists must, of course, be associated with implementations satisfying the requirements of software engineering. But the ontologies are not themselves engineering artifacts, and to conceive them as such brings grievous consequences. Rather, ontologies such as the GO are in different respects comparable to scientific theories, to scientific databases, and to scientific journal publications. Such a view implies a new conception of what is involved in the author¬ing, maintenance and application of ontologies in scientific contexts, and therewith also a new approach to the evaluation of ontologies and to the training of ontologists
SSLRec: A Self-Supervised Learning Framework for Recommendation
Self-supervised learning (SSL) has gained significant interest in recent
years as a solution to address the challenges posed by sparse and noisy data in
recommender systems. Despite the growing number of SSL algorithms designed to
provide state-of-the-art performance in various recommendation scenarios (e.g.,
graph collaborative filtering, sequential recommendation, social
recommendation, KG-enhanced recommendation), there is still a lack of unified
frameworks that integrate recommendation algorithms across different domains.
Such a framework could serve as the cornerstone for self-supervised
recommendation algorithms, unifying the validation of existing methods and
driving the design of new ones. To address this gap, we introduce SSLRec, a
novel benchmark platform that provides a standardized, flexible, and
comprehensive framework for evaluating various SSL-enhanced recommenders. The
SSLRec framework features a modular architecture that allows users to easily
evaluate state-of-the-art models and a complete set of data augmentation and
self-supervised toolkits to help create SSL recommendation models with specific
needs. Furthermore, SSLRec simplifies the process of training and evaluating
different recommendation models with consistent and fair settings. Our SSLRec
platform covers a comprehensive set of state-of-the-art SSL-enhanced
recommendation models across different scenarios, enabling researchers to
evaluate these cutting-edge models and drive further innovation in the field.
Our implemented SSLRec framework is available at the source code repository
https://github.com/HKUDS/SSLRec.Comment: Published as a WSDM'24 full paper (oral presentation
Towards a generic platform for developing CSCL applications using Grid infrastructure
The goal of this paper is to explore the possibility of using CSCL component-based software under a Grid infrastructure. The merge of these technologies represents an attractive, but probably quite laborious enterprise if we consider not only the benefits but also the barriers that we have to overcome. This work presents an attempt toward this direction by developing a generic platform of CSCL components and discussing the advantages that we could obtain if we adapted it to the Grid. We then propose a means that could make this adjustment possible due to the high degree of genericity that our library component is endowed with by being based on the generic programming paradigm. Finally, an application of our library is proposed both for validating the adequacy of the platform which it is based on and for indicating the possibilities gained by using it under the Grid.Peer ReviewedPostprint (published version
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