No abstract

No abstract

Due to the widespread popularity and usage of Internet of things (IoT)-enabled devices, there is an exponential increase in the data traffic generated from these IoT devices. Most of these devices communicate with each other using heterogeneous links having constraints such as latency, throughput, and interference from concurrent transmissions. This results in an extra burden on the underlying communication infrastructure to manage the traffic within these constraints between source and destination. However, most of the existing applications use different Transmission Control Protocol (TCP) variants for traffic management between these devices and are dependent on the stage of the sender, irrespective of the application types and link characteristics. Each operating system (OS) has different TCP variant for all applications, irrespective of path characteristics.Hence, a single TCP variant cannot select the best suitable link, which results in degradation in throughput compared to the existing default. Moreover, it cannot use the full capacity of the available link for different applications and network links, especially in heterogeneous network such as IoT. To cope up with these challenges, in this paper, we propose an Adaptive and Dynamic TCP Interface Architecture (ADYTIA). ADYTIA allows the usage of different TCP variants based on application and link characteristics, irrespective of the physical links of the entire path. It allows the usage of different TCP variants based on their design principle across heterogeneous technologies, platforms, and applications.ADYTIA is implemented on NS-2 and Linux kernel for real testbed experiments.Its ability to select the best suitable TCP variant results in 20% to 80% improvement in throughput compared with the existing default and single TCP variant on Linux and Windows. KEYWORDS heterogeneous networks, internetworking, operating systems, TCPIP, transport protocols Int J Commun Syst. 2019;32:e3855.wileyonlinelibrary.com/journal/dac

The efficient utilization of hardware and software resources plays a vital role in a high-performance computing environment. Where on the one side, a shared pool of resources facilitates faster processing with limited resources, this mechanism also widens the scope of many kinds of security attacks on the other side. Side-channel attack (SCA) is one such attack where methods to monitor the activity of exploited shared resource is carried out to extract the private key. One such SCA, branch prediction analysis attack, launched with time-driven attack (TDA) method is considered in this paper. With the consideration of the virtualization environment, proposal of an algorithm Trinetra, to detect the presence of cross-VM TDA, is the primary focus of our paper. We have tested the performance of Trinetra with experimental analysis in addition to the attack simulation. Performance evaluation has found the Trinetra very effective with negligible performance overhead. Keywords Side-channel attack • Branch prediction analysis attack • Time-driven attack • Virtualization

Grid computing is emerging as the next generation computing environment. Various meta-computing and distributed computing environments are becoming grid compliant with the aim of achieving interoperability. We have developed a web-based development environment for distributed computing that supports heterogeneous resources and provides ease of use. We present herewith GANESH that achieves grid compliance using Globus and also extends features for added value. This paper describes GANESH architecture and its services, and explains its grid compliance and extended features. We also explain in this paper how and where it is interoperable with other environments.