A5085667721- Software-Defined Networks and 5G
- Advanced Optical Network Technologies
- IoT and Edge/Fog Computing
- Interconnection Networks and Systems
- Advanced Graph Theory Research
- Vehicle Routing Optimization Methods
- Energy Efficient Wireless Sensor Networks
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Network Traffic and Congestion Control
- Advanced Wireless Communication Technologies
- Thermoregulation and physiological responses
- Cardiovascular Disease and Adiposity
- Caching and Content Delivery
- Advanced Wireless Network Optimization
- Scheduling and Timetabling Solutions
- Network Packet Processing and Optimization
- Energy Harvesting in Wireless Networks
- Cloud Computing and Resource Management
Carleton University
2019-2022
Kuwait University
2015-2017
Summary Software‐defined networking is a promising paradigm for achieving programmability and centralized control in communication networks. These features simplify network management enable innovation applications services such as routing, virtual machine migration, load balancing, security, access control, traffic engineering. The routing application can be optimized power efficiency by flows coalescing them that the least number of links activated with lowest link rates. However,...
The Carleton-Cisco Internet of Things (IoT) testbed is being built at Carleton University's IoT Lab. Hosting diverse applications, the adopts a layered approach composed four layers: Sensing, Edge, Fog, and Cloud layers. distributed over multiple sites Campus City Ottawa. In this paper, we first present architecture features testbed. Then, give an overview applications running on their underlying techniques protocols. particular, highlight use Edge computing data analytics in selected...
Internet of Things (IoT) along with Virtualized Network Function (VNFs) are creating a wide variety opportunities for emerging vertical applications. operators faced strategic puzzle on how to balance limited resource availability, dynamic IoT traffic requirements, and device behavior in an end-to-end communication paradigm. To this end, paper formally defines the IoT-aware VNF Placement (IVP) problem. We then evaluate indicative set placement algorithms different objective functions under...
Power consumption and CO2 emission have become a major concern over the last few years. Several recent studies shown that servers network equipments consume up to 45% of energy data centers [1]. Software-defined networking is new paradigm decouples control functionalities; thus, makes networks easily manageable programmable. In software-defined (SDNs), central controller has global view topology, traffic matrices QoS requirements, which allows it optimize through energy-aware routing. this...
We consider the problem of minimizing routing power consumption in software-defined networks. The network is composed networking (SDN) nodes and a central controller where decisions are centralized. More specifically, minimizes by flows on minimum number active links with lowest discrete link rates. Thus, it maximizes inactive level rates, which reflects significant saving consumption. This mixed-integer programming known to be NP-hard. Therefore, we propose low-complexity greedy heuristic...
Emerging technologies such as the Internet of Things (IoT) and their anticipated massive deployment stimulate need for developing adaptive energy efficient modulation schemes to maximize network lifetime. IoT systems are typically comprised limited heterogeneous devices in sensing layer, imposing significant challenges cross-layer solve lifetime problem. In this paper, we present a multi-objective scheme physical layer environment. We consider channel conditions opportunistically device...
The increase in demand for high network bandwidth has significantly increased the power consumption and hence, capital expenditure operational costs. Service providers are investigating various approaches to reduce management costs, while delivering richer services across their networks. Recently, several centralized power-aware routing heuristic algorithms have been proposed leveraging control of Software Defined Networking (SDN) architecture. However, a base solution benchmarking...
Summary In addition to providing mechanical support for blood vessels, the perivascular adipose tissue ( PVAT ) secretes a number of vasoactive substances and exerts an anticontractile effect. The main objective this study was find out whether effect cooling in rat aorta is affected by . Our hypothesis that would enhance aorta. Aorta segments, with or without , were used investigation. Cumulative concentration‐response curves established phenylephrine at 37°C 24°C. Phenylephrine (10 ‐9 M –...