Abstract

In this paper, we propose a multi-cloud marketplace model for Infrastructure-as-a-Service (IaaS) layer with multiple cloud providers, intermediate brokers and end users. The brokers service end users subscribed to them by aggregating resources (virtual machines) from cloud providers while maximizing their profits. Similarly cloud providers (producers) allocate their supply of virtual machines to brokers (consumers) so as to maximize their profits. We define the notion of social welfare in this market structure and study two trading schemes. The first scheme involves centralized control which aims at maximizing social welfare but may contain unstable producer-consumer pairs who have an incentive to deviate from the current allocation. The second scheme eliminates such unstable pairs by using a generalization of stable matching algorithm but may lead to sub-optimal social welfare. The stable matching algorithm we proposed in this paper is a particular way of generalizing the original Gale-Shapley algorithm

Abstract

An authentication scheme handling multiple servers offers a feasible environment to users to conveniently access the rightful services from various servers using one-time registration. The practical realization of distribution of online services efficiently and transparently in multiple-server systems has come true by virtue of multi-server user authentication schemes. Due to distinguished properties like, difficulty to forge or copy, in-feasibility to lose or guess or forget, etc., biometrics have been widely preferred as a third authenticating factor in password and smart card based user authentication protocols. In this paper, we design a new biometrics-based multi-server authentication scheme based on trusted multiple-servers. We harness the concept of fuzzy extractor to provide the proper matching of biometric patterns. We evaluate our scheme through informal discussions on performance and also using Burrows-Abadi-Needham logic (BAN-logic) & random oracle model for formal security analysis. We also compose a comparative assessment of our scheme and the related ones. Outcome of the analysis and assessment shows our scheme an edge above many related and contemporary schemes.

Abstract

Remote user authentication without compromising user anonymity is an emerging area in the last few years. In this paper, we propose a new anonymity preserving mobile user authentication scheme for the global mobility networks (GLOMONETs). We also propose a new anonymity preserving group formation phase for roaming services in GLOMONETs that meets the extended anonymity requirement without compromising any standard security requirements. We provide the security analysis using the widely-accepted Burrows-Abadi-Needham logic and informal analysis for the proposed scheme to show that it is secure against possible well-known attacks, such as replay, man-in-the-middle, impersonation, privileged-insider, stolen smart card, ephemeral secret leakage, and password guessing attacks. In addition, the formal security verification with the help of the broadly accepted automated validation of internet security protocols and applications software simulation tool is tested on the proposed scheme and the simulation results confirm that the proposed scheme is safe. Moreover, the comparative study of the proposed scheme with other relevant schemes reveals that it performs well as compared to other techniques.

Abstract

Graph algorithms play an important role in several fields of sciences and engineering. Prominent among them are the All-Pairs-Shortest-Paths (APSP) and related problems. Indeed there are several efficient implementations for such problems on a variety of modern multi- and manycore architectures. It can be noticed that for several graph problems, parallelism offers only a limited success as current parallel architectures have severe short-comings when deployed for most graph algorithms. At the same time, some of these graphs exhibit clear structural properties due to their sparsity. This calls for particular solution strategies aimed at scalable processing of large, sparse graphs on modern parallel architectures. In this paper, we study the applicability of an ear decomposition of graphs to problems such as all-pairs-shortest-paths and minimum cost cycle basis. Through experimentation, we show that the resulting solutions are scalable in terms of both memory usage and also their speedup over best known current implementations. We believe that our techniques have the potential to be relevant for designing scalable solutions for other computations on large sparse graphs.

Abstract

Time-sharing, which allows for multiple users to use a shared resource, is an important and fundamental aspect of modern computing systems. However, accelerators such as GPUs, that come without a native operating system do not support time sharing. The inability of accelerators to support time-sharing limits their applicability especially as they are getting deployed in Platform-as-a-Service and Resource-as-a-Service environments. In the former, elastic demands may require preemption where as in the latter, fine-grained economic models of service cost can be supported with time sharing. In this paper, we extend the concept of time sharing to the GPGPU computational space using a cooperative multitasking approach. Our technique is applicable to any GPGPU program written in Compute Unified Device Architecture (CUDA) API provided for C/C++ programming languages. With minimal support from the programmer, our framework incorporates process scheduling, light-weight memory management, and multiGPU support. Our framework provides an abstraction where, in a round-robin manner, every workload can use a GPU(s) over a time quantum exclusively. We demonstrate the applicability of our scheduling framework by running many workloads concurrently in a time sharing manner

Abstract

Mobile cloud computing (MCC) allows mobile users to have on-demand access to cloud services. A mobile cloud model helps in analyzing the information regarding the patients' records and also in extracting recommendations in healthcare applications. In MCC, a fine-grained level access control of multiserver cloud data is a prerequisite for successful execution of end-users applications. In this paper, we propose a new scheme that provides a combined approach of fine-grained access control over cloud-based multiserver data along with a provably secure mobile user authentication mechanism for the Healthcare Industry 4.0. To the best of our knowledge, the proposed scheme is the first to pursue fine-grained data access control over multiple cloud servers in a MCC environment. The proposed scheme has been validated extensively in different heterogeneous environment where its performance was found good in comparison to other existing schemes.

Abstract

We have applied PLSR on NIRS data of Sorghum to select significant wavelengths for Crude-Protein content. Calibration models proposed using single wavelength (1449nm) and a pair (1485nm and 1486nm) give the coefficient of determination (R 2 ) as 0.7928 and 0.8334 respectively.

Abstract

Security and privacy are the major concerns in cloud computing as users have limited access on the stored data at the remote locations managed by different service providers.These become more challenging especially for the data generated from the wearable devices as it is highly sensitive and heterogeneous in nature. Most of the existing techniques reported in the literature are having high computation and communication costs and are vulnerable to various known attacks, which reduce their importance for applicability in real-world environment. Hence, in this paper, we propose a new cloud based user authentication scheme for secure authentication of medical data. After successful mutual authentication between a user and wearable sensor node, both establish a secret session key that is used for future secure communications. The extensively-used Real-Or-Random (ROR) model based formal security analysis and the broadly-accepted Automated Validation of Internet Security Protocols and Applications (AVISPA) tool based formal security verification show that the proposed scheme provides the session-key security and protects active attacks. Theproposed scheme is also informally analyzed to show its resilience against other known attacks. Moreover, we have done a detailed comparative analysis for the communication and computation costs along with security and functionality features which proves its efficiency in comparison to the other existing schemes of its category.

Abstract

We have analysed the effect of beam wander, jitter and boresight on the deviation of centroid of laser beam. It is seen to be wandering over a restricted range, though off the center of detector.

Abstract

Water crisis is a major issue across various cities in the world. In recent times, a considerable amount of work has been done on remote monitoring using water flow sensors. In almost all these applications either GSM/GPRS or Zig-Bee has been used for communication. In this work, we propose a resilient water monitoring system using a low power Wi-Fi module. The goal is achieved in three stages: calibration of flow sensor, design of robust IoT node with embedded power management and packaging of the complete system. The aim of calibration is to enhance the linearity range by choosing a suitable meter constant K for the turbine flow sensor. It helps to make the system adaptive to variations in pressure and flow rate. The sensor data is processed and sent to the cloud using power efficient ESP8266 Wi-Fi SoC chip. The packaging of the complete system is done to make it watertight and suitable for usage in …