Showing papers by "Rituparna Chaki published in 2017"

Abort-Free STM: A Non-blocking Concurrency Control Approach Using Software Transactional Memory

Abstract: Software transactional memory (STM) is a promising approach for concurrency control in parallel computing environment. The non-blocking progress implementations for STM forces transactions to abort. Although this is primarily done to ensure block-freedom, it may lead to poor system performance. This paper proposes a new Abort-Free STM methodology (AFTM) to achieve abort-free execution so that a group of processes, which are contending for a common set of concurrent objects can commit in finite number of steps. The proposed STM allows wait-free, non-blocking execution of multiple read and write transactions on shared data object without aborting any of the transactions. The important properties of AFTM have been proved towards establishing its advantages.

Localization based Anti-Void Clustering Approach (LAVCA) for Energy Efficient Routing in Wireless Sensor Network

Abstract: Energy efficient routing is the main challenge of the researchers in the field of wireless sensor network for a long decade Resource constrained sensor nodes demand energy consumption as less as possible Energy efficiency can be achieved by localization and clustering technique Localization is used to find out the location of sensor nodes without the help of GPS and avoids broadcasting of too many messages to save energy Event based clustering approach can reduce data redundancy in order to avoid wastage of energy The proposed approach LAVCA has used both of the techniques in order to diminish energy consumption and increase network lifetime up to a great extent Packet loss has also been reduced by involving an anti-void approach, called rolling ball technique Simulation results show that the energy efficiency has been enhanced with compare to CASER, EEHC and DEEC

A Heuristic Framework for Priority Based Nurse Scheduling.

Abstract: Nurse Scheduling Problem is traditionally studied as a multi objective problem which aims at an optimum scheduling of nurse assignment to patients in a hospital. Remote healthcare is involved with providing quality care and medical assistance to patients based on remote monitoring. This paper presents an in-depth study of nurse scheduling algorithms. This study is followed with a description of the existing logics and the open issues. It also presents a heuristic framework with new features and a variable wait time based multi-parametric cost function for managing the dynamic NSP associated to remote healthcare.