Understanding the characteristics and patterns of workloads within a Cloud computing environment is critical in order to improve resource management operational conditions while Quality Service (QoS) guarantees are maintained. Simulation models based on realistic parameters also urgently needed for investigating impact these workload new system designs operation policies. Unfortunately there lack analyses support development that capture inherent diversity users tasks, largely due limited...

Analyzing behavioral patterns of workloads is critical to understanding Cloud computing environments. However, until now only a limited number real-world data center trace logs have been available for analysis. This has led lack methodologies capture the diversity that exist in such datasets. paper presents first large-scale analysis data, using recently released dataset features traces from over 12,000 servers period month. Based on this analysis, we develop novel approach characterizing...

As Cloud Computing becomes the trend of information technology computational model, security is becoming a major issue in adopting where considered one most critical concerns for large customers (i.e. governments and enterprises). Such valid concern mainly driven by Multi-Tenancy situation which refers to resource sharing its associated risks confidentiality and/or integrity could be violated. result, may harness advancement market. So, order propose effective solutions strategies good...

Cloud computing research is in great need of statistical parameters derived from the analysis real-world systems. One aspect this failure characteristics environments composed workloads and servers, currently, few metrics are available that quantify repair times servers at a large-scale. Workload particular critical for characterizing modeling accurate workload behavior, enabling more realistic simulation scenarios This paper presents data large-scale production environment (consisting over...

Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service customers; it is therefore extremely important understand and quantify the explicit impact of failures within a system in terms costs. This paper presents first comprehensive analysis on consumption real-world large-scale cloud (comprising over 12 500 servers), including study failure trends spatial temporal environmental characteristics....

Understanding the resource utilization and server characteristics of large-scale systems is crucial if service providers are to optimize their operations whilst maintaining Quality Service. For data enters, identifying demand current availability such resources, allows system managers design deploy mechanisms improve enter meet Service Level Agreements with customers, as well facilitating business expansion. In this paper, we present a analysis characterization production Cloud using most...

Cloud computing plays a major role in the business domain today as resources are delivered utility on demand to customers over Internet. storage is one of services provided cloud which has been increasing popularity. The main advantage using from customers' point view that can reduce their expenditure purchasing and maintaining infrastructure while only paying for amount requested, be scaled-up down upon demand. With growing data size computing, reduction volumes could help providers...

Data centers are the infrastructure that underpins modern distributed service-oriented systems. They complex systems-of-systems, with many interacting elements, consume vast amounts of power. Demand for such facilities is growing rapidly, leading to significant global environmental impact. The data center industry has conducted much research into efficiency improvements, but this mostly been at physical level. Research software-based solutions improving greatly needed. However, most current...

Resource scheduling in a computing system addresses the problem of packing tasks with multi-dimensional resource requirements and non-functional constraints. The exhibited heterogeneity workload server characteristics Cloud-scale or Internet-scale systems is adding further complexity new challenges to problem. Compared with,,,, existing solutions based on ad-hoc heuristics, Machine Learning (ML) has potential improve efficiency management large-scale systems. In this paper we,,,, will...

Cloud computing systems face the substantial challenge of Long Tail problem: a small subset straggling tasks significantly impede parallel jobs completion. This behavior results in longer service response times and degraded system utilization. Speculative execution, which create task replicas at runtime, is typical method deployed large-scale distributed to tolerate stragglers. approach defines stragglers by specifying static threshold value, calculates temporal difference between an...

The evolution of modern computing systems has lead to the emergence Cloud computing. facilitates on-demand establishment dynamic, large scale, flexible, and highly scalable infrastructures. However, as with any other emerging technology, security underpins widespread adoption This paper presents state-of-the-art about along its different deployment models. authors also describe various challenges that can affect an organization’s decision adopt Finally, list recommendations mitigate these...

The disposition of wool and nylon fibres within worsted yarns, according to fibre fineness length, has been studied. Differences in mean between components are associated with a marked predominance the coarser component periphery. This is striking when two separately very uniform, but also occurs mixtures wools markedly different qualities. phenomenon almost entirely spinning. length result longer being drawn centre, especially uniform components. later stages drawing as well

Hairiness in yarns generally arises the spinning process. If it is excessive will give rise to considerable difficulties processes through which yarn must subsequently pass. This paper an attempt assess contributions of some factors affect this phenomenon.

Service-orientation has been proposed as a way of facilitating the development and integration increasingly complex heterogeneous system components. However, there are many new challenges to dependability community in this paradigm, such how individual channels within fault-tolerant systems may invoke common services part their workflow, thus increasing potential for common-mode failure. We propose scheme that - first time links technique provenance with multi-version fault tolerance....

Cloud computing is a promising technology to facilitate development of large-scale, on-demand, flexible infrastructures. However, improving dependability cloud critical for realization its potential. In this paper, we describe our efforts quantify security Clouds provision assurance quality service, one the factors contributing dependability. This has profound implications delivering customized solutions such as effective intrusion prevention and detection which overall objective research....

Yarn-thickness measurements have been made on a range of worsted-spun yarns, apparatus being used whereby loads ranging from I to 100 g could be mechanically applied over length 0–5 cm yarn. A linear relation was found when the logarithm load plotted against yarn thickness, and this has provide ‘thickness index’ ‘compression for each examined. It shown that two most important factors influencing thickness compression are spinning twist fibre crimp, these followed closely by length. Large...

Cloud Computing can be seen as an instance of a Utility, where customers utilize the concept "pay-as-you-go" for applications, computing and storage resources. This is utilized particularly heavily in Infrastructure Service (IaaS) models. In IaaS Clouds, instantly allocated - subsequently release Virtual Machines (VMs). To achieve easy management better performance, providers automated resource allocation techniques, which results some cases having two or more VMs belonging to different...

The increasing complexity and scale of distributed systems has resulted in the manifestation emergent behavior which substantially affects overall system performance. A significant property is that "Long Tail", whereby a small proportion task stragglers significantly impact job execution completion times. To mitigate such behavior, straggling tasks occurring within need to be accurately identified timely manner. However, current approaches focus on mitigation rather than identification,...