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This paper addresses the problem of cloud and networking resources mapping in distributed and hybrid cloud environments. In this context private and public resources are acquired and combined to set up tenant dedicated virtual infrastructures to fulfil distributed applications requirements. An exact algorithm is proposed to map jointly nodes and links of the requested virtual infrastructure graph...
Server security is necessary to avoid all attack that will happen. IPS (Intrusion Prevention System) is an example of right solution for the security system. IPS can prevent an attack by using the IDS (Intrusion Detection System) and firewall features. In this paper, bro IPS on the server will be tested with some attack include DOS (Denial of Service), port scanning, and ftp brute force to ensure...
High throughput is of particular interest in data center and HPC networks. Although myriad network topologies have been proposed, a broad head-to-head comparison across topologies and across traffic patterns is absent, and the right way to compare worst-case throughput performance is a subtle problem. In this paper, we develop a framework to benchmark the throughput of network topologies, using a...
Energy consumption represents a large percentage of the operational expenses in data centers. Most of the existing solutions for energy-aware scheduling are focusing on job distribution and consolidation between computing servers, while network characteristics are not considered. In this paper, we propose a model of power and network-aware scheduling that can be tuned to achieve energy-savings, through...
Server-centric data center networks enable several important features of modern data center applications, such as cloud storage and big data processing. However, network failures are ubiquitous and significantly affect network performance, such as routing correctness and network bandwidth. Existing server-centric data centers do not provide specific fault-tolerance mechanisms to recover the network...
The autonomous cache management in Content-Centric Networking (CCN) results in suboptimal caching decisions and implies cache-ignorant routing. Cache coordination and similar improvements hence have been the subject of several recent studies. The proposed solutions, however, are either impractical due to their massive coordination overhead, or of limited benefit since they cannot realize perfect coordination...
Information-centric networking has been proposed to achieve efficient and reliable distribution of content. We propose a model to assign content locators to content names. Information routing decision is made based on geometric routing using the assigned locators. We consider a geometric routing scheme known as geodesic geometric routing. We demonstrate on the iLab.t virtual wall the successful operation...
Unlike the current Internet where applications have little control over the path that their data travels, emerging network architectures enable applications to control the path their packets/flows take. Although an application can select its paths, providing an application with the up-to-date information needed to make an informed decision is a difficult problem. In particular, monitoring (i.e., collecting...
Advances in data intensive computing and high performance computing facilitate rapid scaling of data center networks, resulting in a growing body of research exploring new network architectures that enhance scalability, cost effectiveness and performance. Understanding the tradeoffs between these different network architectures could not only help data center operators improve deployments, but also...
Information centric networks (ICNs) allow content objects to be cached within the network, so as to provide efficient data delivery. Existing works on in-network caches mainly focus on minimizing the redundancy of caches to improve the cache hit ratio, which may not lead to significant bandwidth saving. On the other hand, it could result in too frequent caching operations, i.e., cache placement and...
The Internet topology at the autonomous system (AS) level has been under heavy investigation in recent years. Previous studies have shown that the Internet AS topology exhibits a power-law node degree distribution and a small-world structure. With the proliferation of peering links and IXPs between ASes, the traditional hierarchical Internet has been more flattened. In this paper, we conducted a graph-theoretic...
Content-Centric Networking (CCN) is a promising framework for evolving the current network architecture, advocating ubiquitous in-network caching to enhance content delivery. Consequently, in CCN, each router has storage space to cache frequently requested content. In this work, we focus on the cache allocation problem: namely, how to distribute the cache capacity across routers under a constrained...
The capability to analyze systems and applications is commonly needed in data centers to address diverse problems such as root cause analysis of performance problems and failures, investigation of security attack propagation, and problem determination for predictive maintenance. Such analysis is typically facilitated by a hodgepodge of procedural code and scripts representing heuristics to be applied,...
Data center networks (DCNs) are inherently failure-prone owing to the existence of many links, switches and servers. Many times the failures of the components may be correlated resulting a set of connected components failing together. This correlated failure behaviour could be captured through the use of fault regions [1]. This paper explores the effect of such failures in DCNs, using four topologies,...
The Internet Autonomous System (AS) topology has important implications on end-to-end routing, network economics and security. Despite the significance of the AS topology research, it has not been possible to collect a complete map of the AS interconnections due to the difficulties involved in discovering peering links. The problem of topology incompleteness is amplified by the increasing popularity...
Although GENI has been readily embraced by the research community as a testbed for exploring new network architectures and services, its use as an educational tool has not seen the same level of acceptance and usage. There are multiple reasons for this, not the least of which is a lack of good examples showing how to use GENI in an educational setting. This paper attempts to remedy this by describing...
We present an evaluation of the fault-tolerance characteristics of several important data center network topologies, including Fat-tree, DCell, HyperBCube and BCube using several metrics, including average path length, aggregated bottleneck throughput and connection failure ratio. These enable us to present an objective comparison of the network topologies under faulty conditions.
As the rapid development of P2P application, many applications based on P2P technology are produced and applied over the Internet. Therefore, searching efficiency, bandwidth utilization rate, average download time and throughput become the key issues of P2P. In order to improve the performance of P2P applications, we propose an integration of search and incentive strategy (ISI) in this paper, which...
Designing data centers with adequate performance and at the right scale is a difficult task. The load in terms of network and CPU utilization is hard to estimate without appropriate tools. In this paper we introduce a data center performance estimation system which can support planning data centers and application deployments. The tool takes data center topologies and applications and calculates the...
This paper introduces a framework and a methodology to manage a SaaS application on top of a PaaS infrastructure. This framework utilizes PaaS policy sets to implement the SaaS providers elasticity policy for its application server tier. A strategy-tree is utilized at the SaaS layer to actively guide policy set selection at runtime in order to maintain alignment with the SaaS providers business objectives...
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