Results 91 to 100 of about 11,486,813 (273)
Active Queue Management Mechanisms: Alternatives?
, 2008 RED (Random Early Detection) is the most popular active queue management algorithm, although it has some weaknesses. Recently, another active queue management algorithm, BLUE, was proposed and shown that it is more successful in controlling the queue ...
core
Sustainable Development, EarlyView.ABSTRACT This article examines whether economic growth reduces inequalities in access to water and sanitation across 64 countries over an average period of 13.5 years. Drawing on disaggregated data by income quintiles and rural–urban location, and employing ordinary least squares (OLS), two‐stage least squares (2SLS), and Seemingly Unrelated Regression
Marcos García‐López +2 more
wiley +1 more source
Velocity‐based stowage policy for a semiautomated fulfillment system
Production and Operations Management, EarlyView., 2022 Abstract Online retail fulfillment is increasingly performed by semiautomated fulfillment systems in which inventory is stored in mobile pods that are moved by robotic drives. In this paper, we develop a model that explores the benefits of velocity‐based stowage policies for semiautomated fulfillment systems, also known as robotic mobile fulfillment ...
Tolga Cezik +2 more
wiley +1 more source
Системный анализ и прикладная информатика, 2016 The paper presents an approach to solving the overloading problem in TCP/IP networks. Offered fuzzy controller with two inputs for system of active queue management packages in TCP/IP networks, and investigated its use in these systems with a random ...
O. V. Nevdachyna +2 more
doaj +2 more sources
Active queue management using adaptive RED
Journal of Communications and Networks, 2003 Random Early Detection (RED) [1] is an active queue management scheme which has been deployed extensively to reduce packet loss during congestion. Although RED can improve loss rates, its performance depends severely on the tuning of its operating parameters.
VERMA, R, IYER, A, KARANDIKAR, A
openaire +2 more sources
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
Sustainable Development, EarlyView.ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
Sustainable Production Planning: Insights Into Factors, Models, and Solution Methods
Sustainable Development, EarlyView.ABSTRACT Effective resource management remains a major challenge for organizations seeking to balance economic efficiency with environmental and social responsibility. In this context, production planning becomes a strategic mechanism for integrating sustainability into industrial operations.
Daysi Ortiz +2 more
wiley +1 more source
Temporal fair active queue management algorithm for multi-rate 802.11 WLAN
Tongxin xuebao, 2009 A temporal fair AQM-TFRED（temporal fair RED） on AP（access point） in multi-rate 802.11 WLAN was proposed.Taking into account the transmission rate of each flow,TFRED set different drop probability for each flow go-ing through the AP to guarantee equal ...
HUANG Jia-wei, WANG Jian-xin
doaj +2 more sources
Priority Auctions and Queue Disciplines that Depend on Processing Time [PDF]
Lecture on the first SFB/TR 15 meeting, Gummersbach, July, 18 - 20, 2004We analyze the allocation of priority in queues via simple bidding mechanisms. In our model, the stochastically arriving customers are privately informed about their own processing ...
Kittsteiner, Thomas, Moldovanu, Benny
core
Quantum Machine Learning for Cybersecurity: A Taxonomy and Future Directions
Software: Practice and Experience, EarlyView.ABSTRACT Context The rapid increase in cyber threats, coupled with increasingly sophisticated attack strategies and the exponential growth of data in recent years, has exposed significant limitations in classical machine learning, rule‐based, and signature‐based defense mechanisms.
Siva Sai +5 more
wiley +1 more source