Browsing by Keywords "Distributed systems"
Now showing items 1-12 of 12
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AIMD-based online MPLS traffic engineering for TCP flows via distributed multi-path routing
(Springer, 2004)With this paper, we propose a distributed online traffic engineering architecture for MPLS networks. In this architecture, a primary and secondary MPLS LSP are established from an ingress LSR to every other egress LSR. We ... -
Auction based scheduling for distributed systems
(International Institute of Informatics and Systemics, 2006)Businesses deal with huge databases over a geographically distributed supply network. When this is combined with scheduling and planning needs, it becomes too difficult to handle. Recently, Fast Consumer Goods sector tends ... -
A connection management protocol for promoting cooperation in Peer-to-Peer networks
(Elsevier BV, 2008-02-05)The existence of a high degree of free riding in Peer-to-Peer (P2P) networks is an important threat that should be addressed while designing P2P protocols. In this paper we propose a connection-based solution that will ... -
Distributed block formation and layout for disk-based management of large-scale graphs
(Springer, 2017)We are witnessing an enormous growth in social networks as well as in the volume of data generated by them. An important portion of this data is in the form of graphs. In recent years, several graph processing and management ... -
Distributed output feedback control of decomposable LPV systems with delay and switching topology: application to consensus problem in multi-agent systems
(Taylor and Francis, 2020)This paper presents distributed output feedback control of a class of distributed linear parameter varying systems with switching topology and parameter varying time delay. To formulate the synthesis conditions for the ... -
Distributed output feedback control of decomposable LPV systems with delay and switching topology: application to consensus problem in multi-agent systems
(Taylor & Francis, 2020-01-08)This paper presents distributed output feedback control of a class of distributed linear parameter varying systems with switching topology and parameter varying time delay. To formulate the synthesis conditions for the ... -
Recurrent neural networks based online learning algorithms for distributed systems
(Institute of Electrical and Electronics Engineers, 2018)In this paper, we investigate online parameter learning for Long Short Term Memory (LSTM) architectures in distributed networks. Here, we first introduce an LSTM based structure for regression. Then, we provide the equations ... -
Sequential nonlinear learning for distributed multiagent systems via extreme learning machines
(Institute of Electrical and Electronics Engineers Inc., 2017)We study online nonlinear learning over distributed multiagent systems, where each agent employs a single hidden layer feedforward neural network (SLFN) structure to sequentially minimize arbitrary loss functions. In ... -
Service rate region: A new aspect of coded distributed system design
(IEEE, 2021-10-04)Erasure coding has been recognized as a powerful method to mitigate delays due to slow or straggling nodes in distributed systems. This work shows that erasure coding of data objects can flexibly handle skews in the request ... -
SPL: an extensible language for distributed stream processing
(Association for Computing Machinery, 2017)Big data is revolutionizing how all sectors of our economy do business, including telecommunication, transportation, medical, and finance. Big data comes in two flavors: data at rest and data in motion. Processing data in ... -
The Universal robot bus : a local communication infrastructure for small robots
(Bilkent University, 2008-12)Design and construction of small autonomous mobile robots is a challenging task that involves the selection, interfacing and programming of a large number of sensor and actuator components. Facilitating this tedious process ... -
An USB-based real-time communication infrastructure for robotic platforms
(Bilkent University, 2009)A typical robot operates by carrying out a sequence of tasks, usually consisting of acquisition of sensory data, interpretation of sensory inputs for making decisions, and application of commands on appropriate actuators. ...
