Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Manish Lad

dblp:97/4220 · DBLP profile ↗
← Back
3ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet of things and sensor networks · 100%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks
networked embedded systems
0.112007
The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario · PerCom 2007
Internet of things and sensor networks
wireless sensor and actuator networks
0.012007
The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario · PerCom 2007
Embedded and real-time systems
networked embedded systems
0.012007
The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario · PerCom 2007

Methods — techniques the papers use, named apart from their topics

runtime reconfiguration · 0.2component-based programming model · 0.2
YearPublicationVenuePosition
2007 The RUNES Middleware for Networked Embedded Systems and its Application in a Disaster Management Scenario
abstract
Due to the inherent nature of their heterogeneity, resource scarcity and dynamism, the provision of middleware for future networked embedded environments is a challenging task. In this paper we present a middleware approach that addresses these key challenges; we also discuss its application in a realistic networked embedded environment. Our application scenario involves fire management in a road tunnel that is instrumented with networked sensor and actuator devices. These devices are able to reconfigure their behaviour and their information dissemination strategies as they become damaged under emergency conditions, and firefighters are able to coordinate their operations and manage sensors and actuators through dynamic reprogramming. Our supporting middleware is based on a two-level architecture: the foundation is a language-independent, component-based programming model that is sufficiently minimal to run on any of the devices typically found in networked embedded environments. Above this is a layer of software components that offer the necessary middleware functionality. Rather than providing a monolithic middleware 'layer', we separate orthogonal areas of middleware functionality into self-contained components that can be selectively and individually deployed according to current resource constraints and application needs. Crucially, the set of such components can be updated at runtime to provide the basis of a highly dynamic and reconfigurable system
Paolo Costa, Geoff Coulson, Richard Gold, Manish Lad, Cecilia Mascolo, Luca Mottola, Gian Pietro Picco, Thirunavukkarasu Sivaharan, Nirmal Weerasinghe, Stefanos Zachariadis
PerCom4
2006 Dynamic Reconfiguration in the RUNES Middleware
abstract
Next generation embedded systems will be composed of large numbers of heterogeneous devices. These will typically be resource-constrained, will use different operating systems, and will be connected through different types of network interfaces. Additionally, they may be mobile and/or form ad-hoc networks with their peers, and will need to be adaptive to changing conditions based on context-awareness. As an example of these system we consider disaster recovery scenarios where large numbers of different devices need to interconnect in an ad-hoc manner. In this respect, our goal is the provisioning of a middleware framework for such system environments. Our approach is based on a small and efficient middleware kernel supporting highly modularised and customisable component-based middleware services. These services can be tailored for specific embedded environments, and are runtime-reconfigurable to support adaptivity. This paper describes a demonstration that highlights some of the features available in our middleware. In particular, we focus on heterogeneity handling by showing our middleware running on resource-rich as well as resource-constrained devices, and on adaptivity features by demonstrating runtime reprogramming and on-the-fly component deployment
Geoff Coulson, Richard Gold, Manish Lad, Cecilia Mascolo, Luca Mottola, Gian Pietro Picco, Stefanos Zachariadis
MASS3
2006 Coalition-Based Peering for Flexible Connectivity
abstract
Mobile devices available today provide users the ability to communicate using a number of different wireless network interfaces. However, these devices do not yet fully exploit the potential for multi-homed and multi-path communication allowing them to better utilise all the connectivity that is available to them. We present here the coalition peering domain (CPD), an architecture that supports collaborative networking relationships between mobile devices. This improves the speed and robustness of communication through more flexible use of all available connectivity
Manish Lad, Saleem N. Bhatti, Stephen Hailes, Peter T. Kirstein
PIMRC1