Χρήση διαφορικών στιγμιοτύπων για την βελτιστοποίηση εκκίνησης Serverless workloads σε ARM επεξεργαστές

Σαμπάνης, Αλέξανδρος-Ασημάκης; Sampanis, Alexandros-Asimakis

dc.contributor.author	Σαμπάνης, Αλέξανδρος-Ασημάκης	el
dc.contributor.author	Sampanis, Alexandros-Asimakis	en
dc.date.accessioned	2024-09-06T06:31:52Z
dc.date.available	2024-09-06T06:31:52Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/60141
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.27837
dc.rights	Default License
dc.subject	ARM architecture	en
dc.subject	Εικονικές μηχανές	el
dc.subject	Snapshots	en
dc.subject	Serverless	en
dc.subject	Virtual machine manager	en
dc.subject	Υπολογιστική νέφους	el
dc.title	Χρήση διαφορικών στιγμιοτύπων για την βελτιστοποίηση εκκίνησης Serverless workloads σε ARM επεξεργαστές	el
heal.type	bachelorThesis
heal.classification	Cloud computing	en
heal.classification	Πληροφορική	el
heal.classification	Υπολογιστικά Συστήματα	el
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2024-06-20
heal.abstract	Serverless architecture is a modern cloud-computing paradigm. In collaboration with Function-as-a-Service applications, it promises high utilization of the resources provided by data centers through the allocation of resources on demand. An interesting application of the Serverless architecture is the use of Internet of Things devices, which are constantly increasing. A major limitation of the Serverless architecture is the delay resulting from the activation of the underlying infrastructure (microVM, container, unikernel) of each Function-as-a-Service application, in order to serve a request. The cold-start process, as it is called, refers to cases where our application in the Serverless environment has not been invoked recently and thus, the virtual machine in which it is running is not in an idle state, nor activated. So when an invocation to that function is made, the microVM must be set up entirely from scratch, which adds a delay to the service of the request. A potential solution that has been studied thoroughly by the scientific community is the use of snapshots, through which we can store the current state of the underlying infrastructure and restore it (when needed) with negligible overhead. Previous research work has shown that we can achieve a reduction in cold-start latency through different snapshotting techniques. In this paper we studied the SnapFaas protocol which uses new techniques to implement snapshots and which promises fast End-to-End request servings. Based on the growing trend of IoT devices that primarily use ARM processors, we inspected the porting of SnapFaas system to ARM-based computing systems. We will analyze the changes needed to achieve this and also quote some code snippets from the implementation. Additionally, we will study how snapshots are taken by SnapFaas, capturing as efficiently as possible the memory and the various devices attached to the microVM. Accordingly, we will examine how these snapshots are used to restore the microVM, both in the memory part, as well as the part of the connected devices. In the last part of the thesis, a client for the Firecracker tool (a well-known microVMs startup tool) is presented, in order to simulate the operation of SnapFaas. Through this new system we were able to obtain a comparison tool for SnapFaas, throughout all the experiments that were showcased. Through them we proved that SnapFaas is faster for cold- start, as well as for lukewarm-start (when there is an imprint of the microVM inside the page cache of the memory) regarding the End-to-End latency.	en
heal.advisorName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Κοζύρης, Νεκτάριος	el
heal.committeeMemberName	Πνευματικάτος, Διονύσιος	el
heal.committeeMemberName	Γκούμας, Γεώργιος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών. Τομέας Τεχνολογίας Πληροφορικής και Υπολογιστών. Εργαστήριο Υπολογιστικών Συστημάτων	el
heal.academicPublisherID	ntua
heal.numberOfPages	82 σ.	el
heal.fullTextAvailability	false