Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Kosar, Tevfik"'
Autor:
Jamil, Hasibul, Alim, Abdul, Schares, Laurent, Maniotis, Pavlos, Schour, Liran, Sydney, Ali, Kayi, Abdullah, Kosar, Tevfik, Karacali, Bengi
The increasing complexity of AI workloads, especially distributed Large Language Model (LLM) training, places significant strain on the networking infrastructure of parallel data centers and supercomputing systems. While Equal-Cost Multi- Path (ECMP)
Externí odkaz:
http://arxiv.org/abs/2410.17078
The latest trends in the adoption of cloud, edge, and distributed computing, as well as a rise in applying AI/ML workloads, have created a need to measure, monitor, and reduce the carbon emissions of these compute-intensive workloads and the associat
Externí odkaz:
http://arxiv.org/abs/2406.09650
Coordination services and protocols are critical components of distributed systems and are essential for providing consistency, fault tolerance, and scalability. However, due to lack of a standard benchmarking tool for distributed coordination servic
Externí odkaz:
http://arxiv.org/abs/2403.09445
Over the recent years, research and development in adaptive bitrate (ABR) algorithms for live video streaming have been successful in improving users' quality of experience (QoE) by reducing latency to near real-time levels while delivering higher bi
Externí odkaz:
http://arxiv.org/abs/2402.09392
Autor:
Imran, Asif, Kosar, Tevfik
Publikováno v:
2022 The 3rd European Symposium on Software Engineering (ESSE 2022)
Software design debt aims to elucidate the rectification attempts of the present design flaws and studies the influence of those to the cost and time of the software. Design smells are a key cause of incurring design debt. Although the impact of desi
Externí odkaz:
http://arxiv.org/abs/2310.14449
Autor:
Imran, Asif, Kosar, Tevfik
Publikováno v:
2022 The 3rd European Symposium on Software Engineering (ESSE 2022)
The low cost and rapid provisioning capabilities have made the cloud a desirable platform to launch complex scientific applications. However, resource utilization optimization is a significant challenge for cloud service providers, since the earlier
Externí odkaz:
http://arxiv.org/abs/2310.14444
Network Function Virtualization (NFV) platforms consume significant energy, introducing high operational costs in edge and data centers. This paper presents a novel framework called GreenNFV that optimizes resource usage for network function chains u
Externí odkaz:
http://arxiv.org/abs/2310.11406
The low cost and rapid provisioning capabilities have made open-source cloud a desirable platform to launch industrial applications. However, as open-source cloud moves towards maturity, it still suffers from quality issues like code smells. Although
Externí odkaz:
http://arxiv.org/abs/2307.12146
Automated batch refactoring has become a de-facto mechanism to restructure software that may have significant design flaws negatively impacting the code quality and maintainability. Although automated batch refactoring techniques are known to signifi
Externí odkaz:
http://arxiv.org/abs/2306.15763
Efficient data transfers over high-speed, long-distance shared networks require proper utilization of available network bandwidth. Using parallel TCP streams enables an application to utilize network parallelism and can improve transfer throughput; h
Externí odkaz:
http://arxiv.org/abs/2211.11949