Management methods in SLA-aware distributed storage systems

• Autorzy: Nikolow D. , Słota R. , Lakovic D. , Winiarczyk P. , Pogoda M. , Kitowski J.
• Języki publikacji: EN

Abstrakty

EN

Traditional data storage systems provide access to user’s data on the "best effort" basis. While this paradigm is sufficient in many use cases it becomes an obstacle for applications with Quality of Service (QoS) constraints. Service Level Agreement (SLA) is a part of the contract agreed between the service provider and the client and contains a set of well defined QoS requirements regarding the provided service and the penalties applied in case of violations. In the paper we propose a set of SLA parameters and QoS metrics relevant to data storage processes and the management methods necessary for avoiding SLA violations. A key assumption in the proposed approach is that the underlying distributed storage system does not provide functionality for resource or bandwidth reservation for a given client request.

Słowa kluczowe

EN

service level agreements; mass storage systems; quality of service

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2012
• Tom: Vol. 13 (3)
• Strony: 35--44
• Opis fizyczny: Bibliogr. 7 poz., rys., tab.

Twórcy

autor

Nikolow D.

• AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Słota R.

• AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Lakovic D.

• AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland

autor

Winiarczyk P.

• AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Kraków, Poland

autor

Pogoda M.

• AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Kraków, Poland

autor

Kitowski J.

• AGH University of Science and Technology, Faculty of Electrical Engineering, Automatics, Computer Science and Electronics, Department of Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland
• AGH University of Science and Technology, ACC Cyfronet AGH, ul. Nawojki 11, 30-950 Kraków, Poland

Bibliografia

• [1] Franciosi F., Knottenbelt W.: Data allocation strategies for the management of quality of service in virtualised storage systems. In Mass Storage Systems and Technologies (MSST), 2011 IEEE 27th Symposium on, pp. 1–6, May 2011.
• [2] Huang H. H., Grimshaw A. S.: Design, implementation and evaluation of a virtual storage system. Concurr. Comput. : Pract. Exper., 23:311–331, March 2011.
• [3] Kim T., Won Y., Kim D., Koh K., Shin Y.: Apollon : File system level support for QoS augmented I/O. In Advances in Mulitmedia Information Processing – PCM 2005, Lecture Notes in Computer Science, chapter 6, pp. 59–70. 2005.
• [4] National data storage project. http://nds.psnc.pl.
• [5] Paschke A., Schnappinger-Gerull E.: A categorization scheme for SLA metrics. In Schoop M., Huemer C., Rebstock M., Bichler M., editors, Service Oriented Electronic Commerce, volume 80 of LNI, pp. 25–40. GI, 2006.
• [6] Slota R., Nikolow D., Polak S., Kuta M., Kapanowski M., Ska lkowski K., Pogoda M., Kitowski J.: Prediction and load balancing system for distributed storage. Scalable Computing. Practice and Experience, 11(2):121–130, 2010.
• [7] Wu J. C., Brandt S. A.: Providing Quality of Service Support in Object-Based File System. In Proceedings of the 24th IEEE Conference on Mass Storage Systems and Technologies, pp. 157–170, Washington, DC, USA, 2007. IEEE Computer Society.