Almost every online user directly or indirectly uses cloud computing, which is the most promising information and communication technology (ICT) paradigm. However, computing's ultrascale size requires large datacenters comprising thousands of servers other supporting equipment. The power consumption share such infrastructures reaches 1.1 percent to 1.5 total electricity use worldwide, projected rise even more. In this article, authors describe recent trends in computing regarding energy...

The last decade has been characterized by a rapid increase in the usage of mobile communications. One main aspects communications is mobility. This means that phones have to switch between base station cells order support uninterrupted all available services within area network coverage. process switching user devices called handover. Accordingly, stations are optimized serve with certain moving velocities based on an and characteristics better handle handovers. However, issues appear when...

Satellite images are highly utilized for detecting land usage, while in recent years a finer-grade crop classification has become important the context of precision agriculture. However, such brings new challenges, which aside from multi-spectral require exploitation their multi-temporal properties as well, with pixel-based analysis and larger number classes. In this paper, we apply several machine learning algorithms on satellite derive models. The models applied only agricultural fields,...

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By moving business processes into the cloud, partners can benefit from lower costs, more flexibility and greater scalability in terms of resources offered by cloud providers. In order to execute a process or part it, owner selects leases feasible while considering different constraints, e.g., Optimizing resource requirements minimizing their costs. this context, utilizing information about models dependencies between tasks help better manage leased resources. paper, we propose novel...

Cloud computing is a promising concept for the implementation of scalable on-demand infrastructures, where resources are provided in self-managing manner based on predefined customers requirements. A Service Level Agreement (SLA), which established between provider and customer, specifies these It includes terms like required memory consumption, bandwidth or service availability. The SLA also defines penalties violations when fails to provide agreed amount quality service. current challenge...

Internet of Things (IoT) concept is growing in last few years and number IoT devices increasing rapidly. Individual sensors communicate over network. The LPWAN (Low Power Wide Area Network) networks possess the ability to offer low-cost connection for huge low-power distributed large areas. LoRaWAN a prominent solution this paper existing research work related capacity surveyed, presented discussed.

With the everyday growth of Internet Things (IoT), number connected sensor devices increases as well, where each consumes energy while being constantly online. During that time, they collect large amounts data in short intervals leading to collection redundant and perhaps irrelevant data. Moreover, commonly battery powered, batteries need be frequently replaced or recharged. The former requires smarter less frequent collection, latter complementary putting them sleep not used order save...

Cloud computing is becoming more and popular, but security concerns overshadow its technical economic benefits. In particular, insider attacks malicious insiders are considered as one of the major threats risks in cloud computing. As physical boundaries disappear a variety parties involved services, it harder to define perimeter that divides from outsiders, therefore making assessments by customers difficult. this paper, we propose model combines comprehensive system infrastructure clouds...

Predictive models of bathing water quality are a useful support to traditional monitoring and provide timely adequate information for the protection public health. When developing models, it is critical select an appropriate model type metrics reduce errors so that predicted outcome reliable. It usually necessary conduct intensive sampling collect sufficient amount data. This paper presents process predictive in Kaštela Bay (Adriatic Sea) using only data from regular (official) collected...

Popularity of Cloud Computing produced the birth Everything-as-a-Service (XaaS) concept, where each service can comprise large variety software and hardware elements. Although having same these services represent complex system that have to be deployed managed by a provider using individual tools for almost every element. This usually leads combination different deployment are unable interact with other in order provide an unified automatic procedure. Therefore, used manually or specifically...

Remote sensing is commonly performed via airborne platforms such as satellites, specialized aircraft, and unmanned aerial systems (UASs), which perform photography using mounted cameras. However, they are limited by their coverage irregular flyover frequency (aircraft), and/or low spatial resolution (satellites) due to high altitude. In this paper, we examine the utilization of commercial flights an platform for remote sensing. Namely, simulate a situation where all aircraft on equipped with...

Monitoring ultrascale systems such as Clouds requires collecting enormous amount of data by periodically reading metric values from a system. Current approaches tend to select static frequency for sampling monitoring data. On one hand, over-sampling the it at high frequencies results in redundancy during steady runs other under-sampling with low information loss volatile behaviour system is significantly diluted. Therefore, choosing an optimal represents challenging research issue. In this...

Energy consumption is one of the main limiting factors for designing and deploying ultrascale systems. Therefore, this paper presents challenges trends associated with energy efficiency systems based on current activities working group "Energy Efficiency" in European COST Action Nesus IC1305. The analysis contains major areas that are related to studies systems: heterogeneous low power hardware architectures, monitoring at large scale, modeling simulation systems, energy-aware scheduling...

With growth of Internet Things, number connected sensors increases as well, along with data being collected by those sensors. Most are battery powered and commonly collect in short equally spaced time periods resulting large amount redundant often irrelevant data. In this paper, we propose a dynamic monitoring frequency (DMF) algorithm that aims at collecting only when sensor readings change more than predefined value between consecutive readings. Thus, is turned on monitored phenomenon...

Internet of Things(IoT) concept is growing in last few years and number IoT devices increasing rapidly. Consequently, the amount data being collected stored increasing, which leads to Big its related challenges such as high energy consumption. While individual sensors consume relatively small energy, they are mostly battery powered numerous, limits their lifetime creates a great load on backend systems, respectively. In this paper, existing research work concepts surveyed presented, with...

Abstract With the increase in number and size of Internet Things systems, there is an ever-growing risk (meta)data loss, as well maintenance overhead to mitigate such risks. The experts recognize three main challenges this area that need be tackled, namely (1) downsizing manual work required for configuring sensor networks, (2) recovering metadata, type, case connection issues, malfunctions or malicious actions (3) rebuilding metadata lost due unexpected problems within a data storage....

Scientific community is one of the major driving forces for developing and utilizing IT technologies such as Supercomputers Grid. Although, main race has always been bigger faster infrastructures, an easier access to infrastructures in recent years created a demand more customizable scalable environments. However, introducing new paradigms Cloud computing requires comprehensive analysis its benefits before actual implementation. In this paper we introduce TimeCap, methodology comparing based...

The Cloud represents an emerging paradigm that provides on-demand computing resources, such as CPU. resources are customized in quantity through various virtual machine (VM) flavours, which deployed on top of time-shared infrastructure, where a single server can host several VMs. However, their Quality Service (QoS) is limited and boils down to the VM availability, does not provide any performance guarantees for shared underlying resources. Consequently, providers usually over-provision...

Scientific applications have always been one of the major driving forces for development and efficient utilization large scale distributed systems - computational Grids represent prominent examples. While these infrastructures, such as or Clusters, are widely used running most scientific applications, they still use bare physical machines with fixed configurations very little customizability. Today, Clouds another step forward in advanced computing. They provide a fully customizable...

Various distance-based clustering algorithms have been reported, but the core component of all them is a similarity or distance measure for classification data. Rather than setting priority to comparison performance different algorithms, it may be worthy analyze influence measures on results algorithms. The main contribution this work comparative study impact 9 similarity-based trajectory using DBSCAN algorithm commercial flight dataset. novelty in exploring robustness with respect...