this paper reviews the problem of a secure data transfer in distributedcomputing networks. It analysis the most popular covert channels (the steganographic methods of communications) and introduces their classificati...
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Recent advances in the micro electromechanical systems technology MEMS, wireless communications and digital electronics allowed to create inexpensive, low-powered, multi-functional nodes. they are small and "talk...
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ISBN:
(纸本)9781467383615
Recent advances in the micro electromechanical systems technology MEMS, wireless communications and digital electronics allowed to create inexpensive, low-powered, multi-functional nodes. they are small and "talk" directly with each other. Wireless Sensor Network (WSN) is considered to be a distributed, self-organizing system of a large number of sensors and assistive devices that communicate with each other through the radio channel. Sensor networks are based on the joint work of a large number of tiny nodes that consist of data collection and processing modules and a transmitter or a transceiver. Such networks have significant advantages over the set of traditional sensors. the main problem in sensor networks is a short stint due to high power consumption and the incompatibility of various hardware. Because of the absence of a clear standardization in sensor networks, there are several different platforms. All platforms meet the essential basic requirements for sensor networks: low power consumption, long operating time, low-power transmitters and presence of sensors. Each platform is in its own interest substantiated and has its own peculiarities. they will transmit the observation data to the central nodes where data collection, storing, and processing will be performed. the main purpose is to enhance the security wireless sensor networks.
Heterogeneous computing system is one of the focuses researched in the field of distributedcomputing nowadays. It is composed of various heterogeneous processors inter-connected with high-speed networks. And it can a...
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ISBN:
(纸本)9781467382212
Heterogeneous computing system is one of the focuses researched in the field of distributedcomputing nowadays. It is composed of various heterogeneous processors inter-connected with high-speed networks. And it can acquire rapid processing of computationally intensive applications to meet diverse computing needs. In heterogeneous computing system, it is a key issue for high performance computing to schedule tasks and allocate nodes properly. In this paper, first I introduce the problem of task scheduling and describe four kinds of task scheduling methods. Next I analyze the basic ideas of some representative task scheduling algorithms in heterogeneous computing system and describe their performance. then I compare these four methods and analyse their advantages and disadvantages. Finally I give a conclusion and the future work on heterogeneous computing system.
Internet of things promises to be an innovative scenario in which the user experience will be enriched by new cyber-physical services and content, shared by multiple actors (things, places, people) with an higher freq...
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ISBN:
(纸本)9783319232379;9783319232362
Internet of things promises to be an innovative scenario in which the user experience will be enriched by new cyber-physical services and content, shared by multiple actors (things, places, people) with an higher frequency and quality of the current ones. the countless challenges and opportunities that the development of such an ecosystem entails require a marked intervention on the current Internet architectural frameworks and models, primarily as regards the management function. Pointing in this direction, the most relevant autonomic and cognitive architectures for the Internet of things have been surveyed and compared.
the proceedings contain 99 papers. the topics discussed include: towards a multi-objective VM reassignment for large decentralised data centres;many-objective virtual machine placement for dynamic environments;QoS-dri...
ISBN:
(纸本)9780769556970
the proceedings contain 99 papers. the topics discussed include: towards a multi-objective VM reassignment for large decentralised data centres;many-objective virtual machine placement for dynamic environments;QoS-driven probabilistic runtime evaluations of virtual machine placement on hosts;middleware for customizable multi-staged dynamic upgrades of multi-tenant SaaS applications;adaptive performance isolation middleware for multi-tenant SaaS;adapting scientific workflows on networked clouds using proactive introspection;a fuzzy logic-based controller for cost and energy efficient load balancing in geo-distributed data centers;an energy aware application controller for optimizing renewable energy consumption in data centres;a particle swarm optimization approach for workflow scheduling on cloud resources priced by CPU frequency;agent-based modelling as a service on Amazon EC2: opportunities and challenges;and an efficient and privacy-preserving similarity evaluation for big data analytics.
Mobile cloud computing (MCC) has drawn significant research attention as the popularity and capability of mobile devices have been improved in recent years. In this paper, we propose a prototype MCC offloading system ...
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ISBN:
(纸本)9781467372879
Mobile cloud computing (MCC) has drawn significant research attention as the popularity and capability of mobile devices have been improved in recent years. In this paper, we propose a prototype MCC offloading system that considers multiple cloud resources such as mobile ad-hoc network, cloudlet and public clouds to provide a adaptive MCC service. We propose a context-aware offloading decision algorithm aiming to provide code offloading decisions at runtime on selecting wireless medium and which potential cloud resources as the offloading location based on the device context. We also conduct real experiments on the implemented system to evaluate the performance of the algorithm. Results indicate the system and embedded decision algorithm can select suitable wireless medium and cloud resources based on different context of the mobile devices, and achieve significant performance improvement.
the proceedings contain 8 papers. the topics discussed include: a workflow runtime environment for Manycore parallel architectures;orchestrating workflows over heterogeneous networking infrastructures;towards efficien...
ISBN:
(纸本)9781450339896
the proceedings contain 8 papers. the topics discussed include: a workflow runtime environment for Manycore parallel architectures;orchestrating workflows over heterogeneous networking infrastructures;towards efficient scheduling of data intensive high energy physics workflows;contemporary challenges for data-intensive scientific workflow management systems;co-sites: the autonomous distributed dataflows in collaborative scientific discovery;inter-language parallel scripting for distributed-memory scientific computing;dynamically reconfigurable workflows for time-critical applications;enabling workflow repeatability with virtualization support;and workflow provenance: an analysis of long term storage costs.
DaaS (Data-as-a-Service) is an important model of the cloud. As DaaS provides clients withthe ability to view and download data from cloud providers, the service must ensure speed, reliability, and cost effectiveness...
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ISBN:
(纸本)9781467372879
DaaS (Data-as-a-Service) is an important model of the cloud. As DaaS provides clients withthe ability to view and download data from cloud providers, the service must ensure speed, reliability, and cost effectiveness. An important research question pertaining to providing DaaS is how to improve the download time by using parallelism and efficient load balancing techniques. Other research focus on optimizing the storage consumed by the DaaS cloud providers. In this paper, we provide a solution to both issues by increasing the effectiveness of the dual direction load balancing technique using higher replication and optimizing the storage consumed by a smart self-controlled technique (ssCloud) for removing the redundant data from each cloud server. We elaborate on the design of this technique and how it can be applied on the cloud.
distributed Denial of Service (DDoS) attack is a complex security challenge for growth of Cloud computing. DDoS attack is very easy to apply, difficult to prevent and hard to identify because attacker can spoof the IP...
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ISBN:
(纸本)9783319232379;9783319232362
distributed Denial of Service (DDoS) attack is a complex security challenge for growth of Cloud computing. DDoS attack is very easy to apply, difficult to prevent and hard to identify because attacker can spoof the IP address of itself for hiding the identity of himself. In this paper, we present a third Party Auditor (TPA) based efficient DDoS detection and prevention technique which has the strong identification factor based on these weaknesses. It has less overhead at the user end. thus, we target various aspects of prevention of DDoS attack in the Cloud environment.
Knowing the physical location of files in a cloud system is of a great importance for any user, as is it can affect the whole service drastically. However, pinpointing the exact coordinates for the location of a serve...
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ISBN:
(纸本)9781467372879
Knowing the physical location of files in a cloud system is of a great importance for any user, as is it can affect the whole service drastically. However, pinpointing the exact coordinates for the location of a server is very challenging. Providers prefer not to share the location of their data centers with public for security reasons, and this fact also adds to the complexity of this concept. Researchers have recently developed delay based schemes for cloud data geolocation, some of which use proprietary landmarks for location verification. Unfortunately, such landmark-based schemes are often impractical due to high cost and latency. In this paper, we have developed a practical scheme for landmark allocation in cloud data geolocation. We augment existing approaches with a new landmark allocation modification to get the same or often better accuracy, while decreasing the cost considerably. Our approach improves the existing state of the art by introducing the concept of publicly distributed landmarks for all delay based geolocation techniques.
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