Disaster-aware service provisioning with manycasting in cloud networks

Abstract

Cloud services delivered by high-capacity optical datacenter networks are subject to disasters which may cause large-area failures, leading to huge data loss. Survivable service provisioning is crucial to minimize the effects of network/datacenter failures and maintain critical services in case of a disaster. We propose a novel disaster-aware serviceprovisioning scheme that multiplexes service over multiple paths destined to multiple servers/datacenters with manycasting. Our scheme maintains some bandwidth (i.e., degraded service) after a disaster failure vs. no service at all. We formulate this problem into a mathematical model which turns out to be an Integer Linear Program (ILP), and we provide heuristic optimization approaches as ILP is intractable for large problem instances. Numerical examples show that exploiting manycasting by intelligently selecting destinations in a risk-aware manner for service provisioning offers high level of survivability against link and node failures that may be caused by disasters and post-disaster failures at no extra cost compared to the other survivable schemes.

Dynamic provisioning of fault tolerant optical networks for data centers

“…The classical protection schemes do not provide protection against dominant failure scenario (disaster) especially when it covers a region which affects both the primary and backup paths. Protection schemes include dedicated path protection (DPP), shared path protection (SPP), dedicated link protection and shared link protection while restoration schemes include path restoration and link restoration [31][32][33][34][35][36][37][38][39][40][41][42][43]. An organization of these schemes is shown in …”

“…In such a network, heterogeneous contents and services are replicated over multiple datacenters, so that a user request can be served by any datacenter that supports the specified content or service. This scheme, where the required content/service can be served from one of many potential datacenters, is known as anycast service [38]. Such services require infrastructures with high capacity, high availability, and robustness to serve the rising volume of traffic, and optical networks are well suited to meet these requirements [20].…”

“…Research has been initiated introducing backup datacenters following the anycast principle to reduce bandwidth consumption [38]. Content/data protection is a fundamental problem in datacenter networks, as the failure of a single datacenter should not cause the disappearance of a specific content/data from the whole network.…”

A Survey on Resiliency Techniques in Cloud Computing Infrastructures and Applications

“…Resource degradation is a temporary reduction of the server or bandwidth capacity enforced to distribute surviving resources to all customers. Three approaches using one or both these techniques are: routing aware placement (R-Aware) [128], failure independent rerouting (FID) [130], [131], and degradation-aware provisioning disaster recovery (DAP) [129]. The three approaches minimize cost and RT by using: connection relocation (in FID), two types of routing protection (in R-Aware), and two types of backup routing with gradual degradation in case of multiple failures (in DAP).…”

ABNO-driven content distribution in the telecom cloud

“…Network operators can use the telecom cloud for many purposes, such as to distribute live-TV [6]. In addition, content providers (CP) can take advantage of the telecom cloud to increase content availability by replicating and hosting contents in different geographically-distributed DCs to prevent data losses in the event of failures or disasters [7], [8]. Distributed DCs can synchronize replicated contents using any available approach including distributed databases, such as Apache Cassandra [9].…”