but also for entertainment services like use of internet, social networks etc, hence there should guarantee to fulfill these applications. For that purpose lots of solution have been proposed related to considering single wireless technology. In this paper we are going to discuss a handover algorithm called Vehicular Network Handover Algorithm in HeterogeneousEnvironment (VNHAHE), not a novel but slightly modification of other handover algorithm. It considers surround context and route information of vehicle according with IEEE 802.21standard. The main purpose of this technology is to provide suitable access network along the route.
Internet of Technology(IoT) is a network of similar or different types of objects. Here, the objects are usually occupied with sensors or radio frequency identification (RFID) tags. These sensor-based objects extend the use of the internet by exchanging information among them. IoT brings all such objects under a common network to enable inter-communication. The various short-range communication technologies are RFID, Bluetooth, ZigBee, etc. For instance, the clothes with RFID tag when used for washing in the washing machine then the washing machine can learn from RFID tags and able to adjust water requirement. Another example is Bluetooth, for short-range communication between compatible devices. In this way, the different types of objects can be configured for inter- communication . Figure 1 illustrates the involvement of IoT in various smart applications. The IoT facilitates a wide range of applications to behave in a smart way, such as smart home appliances like an air conditioner, washing machine, television, air, and water pollution control, traffic management, etc. There are several projects, which are working to bring the distributed networks under common IoT- based network (Ex. SENSEI Project) . During such a heterogeneousenvironment, routing with energy efficiency is a critical challenge. In spite of extensive research routing in a dense environment demands significant attention by considering sensor node (SN) localization and distance from BS.
Computational grid is a potential technology mainly used for distributed environment. The major issues related with Grid are resource discovery, heterogeneity, fault tolerance and task scheduling. Grid task scheduling is an integrated component of computing which effectively utilizes the idle time of resources. Efficient scheduling algorithm is needed to utilize the resources effectively and reduce the overall completion time. This paper analyzes the performance of scheduling algorithms from different point of view such as makespan, execution time, completion time and load balancing. First, the general view of World Wide Web grid computing environment and its functions are discussed. Then this paper examines the performance of four scheduling algorithms such as Min-Min, Max-Min, Minimum Completion Time and Minimum Execution Time. Based on the comparative study of various algorithms, some common issues are proposed. The conventional Max-Min grid task scheduling algorithm effectively utilizes the resources and minimizes the makespan than other scheduling algorithms. This survey shows that Max-Min grid task scheduling algorithm outperforms the other algorithms in both task and resource heterogeneousenvironment.
DOI: 10.4236/jamp.2019.75069 1040 Journal of Applied Mathematics and Physics periodicity on the spatial spread of a class of bacterial and viral diseases, the fe- cally-orally epidemic model in heterogeneousenvironment has been considered. By means of next generation infection operator and associated eigenvalue prob- lems, the spatial-temporal basic reproduction number is defined. We use the number to study the existence and non-existence of T-periodic solutions. The at- tractivity of our problem in relation to the maximal and minimal T-periodic solu- tions is discussed. We conclude that if the environment is T-periodic, then the so- lution of any initial-boundary system will present T-periodic phenomena gradual- ly. Moreover, we believe that the investigation of the transmission dynamics of in- fectious diseases in heterogeneousenvironment is more close to reality than in homogeneous environment. However, here we considered the periodic solutions on specified period T. In the future, we will consider the time-periodic solutions for various possible periods. Moreover, the uniqueness of T-periodic solutions is still unclear.
Cloud computing environment provides on-demand access to shared resources that can be managed with minimal interaction of cloud service provider. It is a heterogeneousenvironment where number of users request for shared resources with different possible conditions. Cloud computing provides reliable and validated services to the users on pay as- you-use basis. In a cloud computing environment, resources are allocated in terms of virtual machines and allocating the virtual machine to an appropriate user is very important so as to efficiently utilize scarce resources and to satisfy QoS requirements. In this paper, an attempt has been made to develop a stochastic simulator that allocates virtual machine to the user with efficient resource utilization and minimal investment. In present simulator, resource allocation strategy depending upon the time and cost has been proposed to allocate resources (virtual machines) in order to fulfil the requirements of both, cloud users and service providers. In additions, it has been assumed that each VM is capable of executing all requests and the execution times are generated as samples from a specific non-.uniform probability distribution i.e. by Exponential Distribution function. Simulation results demonstrate the better performance of clouds with minimum makespan of jobs on a given set of heterogeneous virtual machines (VMs).
In this paper, we incorporated the free boundary and heterogenous environment into the reaction-diﬀusion-advection logistic model, which is more realistic for describing the in- vasion dynamics of a new species, investigated the inﬂuence of the advection term and spatial heterogeneousenvironment features on the dynamics of the invading species, and gave a rough estimates of the asymptotic spreading speed.
Abstract—This paper considers the radar scenes which contain numerous rapidly changing terrains, i.e., there are more than one clutter-edge in the environment. This kind of radar scenes incurs sharply degradation in the performance of the present adaptive constant false alarm rate (CFAR) detectors as the statistical characteristic of reference cells is highly heterogeneous. To solve this problem, we propose a homogenous reference cells selector to improve the performance of CFAR detector in highly heterogeneousenvironment. The selector is comprised of an M -N clutter-edge detector cascading a terrain classifier. The M -N clutter-edge detector is used to obtain multiple clutter-edges in heterogeneousenvironment. With the detected clutter-edges, the terrain classifier is derived to obtain identical distributed range cells. Based on the selector, a modified Log-t-CFAR detector is suggested. Finally, the performance of the proposed selector and CFAR detector is evaluated by measured data and computer simulation.
Based on the integration architecture, a fully featured heterogeneous wireless test-bed comprised of WiMAX and WLAN network and software platform is deployed in the BSNL, Jalandhar. The software was implemented in a dual- mode laptop having core 2 duo processer, T5800 @ 2.00 GHz, 3GB of RAM. The software platform is .net whose flow chart is shown in figure 2. The first selected interface is of WLAN of dual mode laptop and then second WiMAX interface is selected. The estimated available bandwidth at different instances with respective received signal strength of both interfaces of dual mode laptop is shown in table 1. By observing the table 1 it is concluded that the network having more available bandwidth is automatically selected for multimedia services. The received signal strength shows the presence or current status of the network in heterogeneousenvironment because available bandwidth estimation is only possible if network is present. But available bandwidth is not purely depended upon received signal strength (RSS) because high received signal strength didn’t always mean for high available bandwidth because it also depends upon the number of user present at that time of estimation. This fact can also be observed from the table1.
The Globus provide diverse services related to security and data management based on standard specifications of OGSA. Globus Toolkit is the most popular middleware for file-based data access and sharing. OGSA-DAI is a middleware which has adopted a service oriented architecture (SOA) solution for integration data and grids through the use of web services. When a client wants to make a request to an OGSA-DAI data service, it invokes a web service operation on the data service using a perform document. A perform document is an XML document describing the request that the client wants to be executed defined by linking together a sequence of activities. An activity is an OGSA-DAI construct corresponding to a specific task that should be performed. The output of one activity can be linked to the input of another to perform a number of tasks in sequence. A range of activities is supported by OGSA-DAI, falling into the broad categories of relational activities, XML activities, delivery activities, transformation activities and file activities . To support the concept of data grid, the system uses a series of protocols and services (middleware) as well as a virtual repository. The data sources are hosted in MySQl Server 5.0, Oracle 10g and Microsoft SQL Server 2005 databases. The three main nodes are connected via Fast Ethernet switch (100Mbps). Data-sharing among large natural resource and environment supports the ability to find and acquire the desired data quickly by data-sharing among large natural resource and environment.
aggregation of unlimited resources. In such environments, it is not easy to co-ordinate resources and consumers because of the heterogeneity of hardware and software; viz., networks, protocols and other resources. It is very challenging to manage resources and offer best services to those who require it. Grid environment is a kind of distributed environment where the computing power of multiple resources is used in a parallel fashion to solve bigger scientific problems in short span of time.
Environmental heterogeneity can substantially affect the probability of fixation of new alleles. If environ- ments are differentially productive, then the effective population size will be reduced relative to the census population size and the probabilities of fixation of new alleles are reduced for beneficial alleles and enhanced for deleterious alleles (W hitlock 2003). This is true whether selection on these alleles is heterogeneous across space or not. In addition, as we have shown by induction from simulations in this article, if the selec- tion coefficient of a new allele varies across space, then its probability of fixation is equal to or larger than would be expected on the basis of the allele’s mean selective effect over the range of values we considered in our simulations. This result holds regardless of the strength of migration or selection, although the magnitude of this ‘‘fixation boost’’ depends on the circumstances. We have confirmed this result only for cases with symmetric migration. The enhancement is small when migration is high and quite substantial in the limit of low migration. Our findings, which emerge from an assortment of analytical and numerical methods, show that accurately predicting the probability of fixation of new mutations in heterogeneous environments is complicated; no sin- gle approximation works best under all circumstances F igure 6.—The probability of fixation with the extinction/
User demands to have access to complete and actual information about research may require integration of data from different CRISs. CRISs are rarely homogenous systems and problems of CRISs integration must be addressed from technological point of view. Implementation of CRIS providing access to heterogeneous data distributed among a number of CRISs is described. A few technologies – distributed databases, web services, semantic web are used for distributed CRIS to address different user requirements. Distributed databases serve to implement very efficient integration of homogenous systems, web services - to provide open access to research information, semantic web – to solve problems of integration semantically and structurally heterogeneous data sources and provide intelligent data retrieval interfaces. The problems of data completeness in distributed systems are addressed and CRIS-adequate solution for data completeness is suggested.
Hadoop load balancing algorithm cannot optimize overload racks preferentially, But in this paper we proposed an algorithm which will calculate the performance of the each node in hadoop cluster with the result of velocity of each node we proposed simple algorithm which will distribute load among the different heterogeneous system. The same is applicable in case of any node failure the load allocated for the failure node will get distributed among different node depends upon the performance evolution algorithm and load balancing algorithm, In future need to focus more on optimizing the algorithm to get maximum percent of result in balancing the load
To prove this result, we adapt the method in  to a random environment with slowly varying mean. The paper  is based on the entropy method given in  and proves a hydrodynamic limit for a zero range process in a stationary (ergodic) random environment. The case of a zero range process in a slowly varying deter- ministic environment was treated in . Thus, from a purely technical point of view, our result is a combination of the previous two. Indeed, our method is close to the methods presented in . Therefore we mainly highlight the differences here. The basic idea of the proof lies in the fact that the slowly varying mean is locally almost constant and hence in small boxes we are essentially in the situation of .
on the idea that recombination has evolved because Spatial heterogeneity in selection: Spatial variation in it reduces genetic associations (“linkage disequilibria”) selection is commonplace. Genotype-by-environment that are detrimental among loci. Several models have interactions for fitness-related traits are often present been proposed for the evolution of recombination. when measured (e.g., Tachida and Mukai 1985; Bell They differ mainly in the way they generate linkage 1991; Via 1991; and for reviews, Felsenstein 1976; disequilibria. Disequilibria can be generated stochas- Hedrick et al. 1976; Bell 1987; Fry et al. 1996). Spatial tically by random genetic drift (Fisher 1930; Muller heterogeneity in selection can take several forms. The 1932; Hill and Robertson 1966; Felsenstein 1974; first possibility is that different alleles are favored in Barton 1995b; Otto and Barton 1997). They can different environments. This scenario predominates in also be generated deterministically by epistatic selection the literature, both in the context of the maintenance (Feldman et al. 1980; Kondrashov 1982; Charles- of genetic variation (e.g., Levene 1953; Dempster 1955) worth 1990; Barton 1995a; Otto and Feldman 1997) and in the context of life-history theory (e.g., in the or by selection that varies through time (Charles- evolution of specialization; Futuyma and Moreno worth 1976, 1990; Hamilton 1980; Barton 1995a; 1988; Van Tienderen 1991). Such opposing selection Peters and Lively 1999). Clearly, the various sources pressures are also easily detected in natural populations and have been extensively demonstrated in the study of clines (e.g., Kettlewell and Berry 1961; Bishop
The intrinsic fluorescence of a protein carries information on its conformation and activity. However, the complex fluorescence decay of intrinsic fluorophores in protein, namely phenylalanine, tyrosine and tryptophan, is still not fully understood. Interpretation of fluorescence the decay exhibited by fluorescent amino acids in biological systems is a part of a bigger, unresolved, problem of explaining the multifarious decay observed in heterogeneous media, traditionally analysed by fitting to multi-exponential functions. After several decades of research into protein fluorescence decay using such analysis, two dominating models have emerged: the rotamer model and the model of dielectric relaxation.